Combining methods to conduct a systematic review and propose a conceptual and theoretical framework in socio-environmental research

This study aims to present a combination of methods and propose robust theoretical and conceptual frameworks for solving socio-environmental issues. This proposal included the Problem, Intervention, Context, and Outcome (PICO) framework and Protocol and Reporting result with Search, Appraisal, Synthesis, and Analysis framework, and develop (PSALSAR) method through SODIP steps: (i) Systematic review and meta-analysis defining the study from guiding questions; (ii) Open-source related to software and data; (iii) Data visualization and design information; (iv) Identification of gaps, challenges and trends through automation and lexicometric analysis; and (v) Proposal of theoretical and conceptual frameworks. This proposal defines the steps as support to combine and systematize information necessary to facilitate the production of this type of document using open-access software in the visualization and design of information. All these steps are replicable and essential to propose a conceptual and theoretical framework to contribute to the construction of knowledge in socio-environmental research and to propose solutions by filling in the gaps. In summary, this combination of methods shows:•The use of SODIP steps provides robustness and efficiency in carrying out review studies, facilitating the way to propose theoretical or conceptual frameworks.•Choosing to use open-source tools is essential for better evaluation and visualization of qualitative and quantitative data in review studies.•The combination of methods and data in the systematic review (scientific, political documents. and databases) supports the proposal of robust theoretical and conceptual frameworks.

Three decades of research on wine marketing

The goal of this study is to provide a comprehensive review of the academic research into wine marketing over the last three decades. Data from 1135 wine marketing-related research documents published 1990-2022 in the Web of Science and Scopus databases were employed. Using mainly co-word analysis and bibliographic coupling, the key themes of the discipline were identified. A longitudinal analysis identified the topic's evolution and current research trends. Results show that wine marketing research has grown sharply in recent years. From the pioneering studies that examined consumers' behaviours and wine price drivers, the discipline evolved to address burgeoning themes such as sustainability, social media (digital marketing) and wine tourism, which evidences the interest that academics have shown in enhancing knowledge in the area.

Understanding the knowledge structure and the value creation process of the metaverse

The metaverse is a digital space that empowers users to interact socially, using new and specific technologies, to generate value and co-create experiences. This paper provides a framework for organising the themes discussed in pioneering literature. An adaptation of the PRISMA process was used to explain the methodology applied. The results showed that more than 84 % of studies on the metaverse have been published since 2020. Technologies such as augmented reality and artificial intelligence are positioned as the basic themes, and decision-making and human-machine interface are emerging themes. This paper constitutes an original contribution as it also presents the highlights and structure of the main themes on metaverse. Additionally, it develops an analytical framework for understanding the metaverse value creation. Therefore, this paper represents a starting point for a reflection on the applications of the metaverse that can contribute to the achievement of productive and valuable progress in various fields of research.

Rising gamification in health education: A bibliometric study

BACKGROUND

The rising gamification in educational contexts has been driven by its potential to increase student motivation, engagement, interest and learning outcomes. Thanks to these effects, gamification has gained popularity in health education. Due to the increase in studies on gamification in health education in recent years, this study has been carried out to present the studies in the relevant literature to researchers.

AIM

This study presents a quantitative mapping of gamification in health education through a bibliometric analysis of its publications.

METHODS

In this study, a total of 475 articles were analyzed by searching "health education*" and "gamif*" and similar terms from Web of Science and Scopus databases. R bibliometric package program was used for the analysis. 1971 authors contributed to the studies, which were spread between 2012 and 2024. The number of studies on gamification in the field of health education has grown in recent years. In particular, it was seen that 2018 can be seen as the breaking point and the highest number of publications was in 2023, with 101 publications.

RESULTS

The descriptive results showed that Zhang, X. was the most productive author, Nurse Education Today and BMC Medical Education were the most productive journals and the United States was the most productive country. It is concluded that terms such as gamification, medical education, game-based learning, education, serious games, simulation and e-learning are the most frequently used words in gamification studies in the field of health education. It has been observed that the concept of gamification is trending, especially in 2018-2023, with a frequency of 150 uses.

CONCLUSIONS

This study is expected to guide researchers in terms of key points for future research on gamification in health education contexts. It is expected that the knowledge provided by this study will enable researchers to be involved in this field and/or focus their research more effectively.

A critical review and bibliometric analysis of methylene blue adsorption using leaves

The rapid development of the industrial world causes wastewater containing dyes to continue to increase. Even in recent years, the food, textile, cosmetic, plastic, and printing industries have developed the use of dyes. Methylene blue (MB) is one of the cationic dyes widely used in dyeing silk, wood, and cotton because of its absorbency and good fastness to materials. The adsorption process is the best technique and preferred in removing dyes from wastewater due to excellent selectivity, high efficiency from high-quality treated effluent, flexibility in design, and simplicity. Therefore, there is a growing interest to identify low-cost alternative adsorbents that have reasonable adsorption efficiency, especially natural materials such as leaves. In this study, research on MB adsorption using leaves was analyzed using bibliometric analysis. Information of bibliometric is extracted from the Scopus database with the keyword "Methylene Blue", "Adsorption or Desorption", and "Leaves or leaf". The results showed that India, Desalination and Water Treatment, and SASTRA Deemed University were the country, journal, and institution that contributed the most publications on this topic. Therefore, it is expected that with the use of bibliometrics, the use of leaf-based MB adsorption processes in their potential for MB dye removal can be investigated especially for large-scale development.

Overview of the Last 71 Years of Metabolic and Bariatric Surgery: Content Analysis and Meta-analysis to Investigate the Topic and Scientific Evolution

Obesity is a worldwide epidemic, and bariatric surgery has become increasingly popular due to its effectiveness in treating it. Therefore, understanding this area is of paramount importance. This article aims to provide an understanding of the development of the topic related to procedures, content, data, and status. To achieve this objective, a literature review and a bibliometric analysis were conducted. The methods provided insight into the current state and relevant topics over time. In conclusion, the article provided the identification of the transformation of the research field, initially focused only on physical aspects, to a more complex approach, which also incorporates psychological and social aspects and the correlation between obesity, bariatric surgery, and quality of life.

Mapping theme evolution and identifying hotspots in biomarkers of systemic lupus erythematosus based on global research

Objective: To perform a bibliometric analysis in the field of biomarkers for systemic lupus erythematosus. Methods: Publications were from Web of Science. Microsoft Excel, VOSviewer, Science Mapping Analysis software Tool, CiteSpace and Tableau were used for analysis. Results: A total of 1112 publications were identified; 1503 institutions from 69 countries contributed, with the highest outputs from China and Karolinska University Hospital. Petri had a tremendous impact. Academic collaborations were localized. Lupus and Arthritis & Rheumatology were the top two journals in terms of publications and citations. Lymphocyte, autoantibody, type I interferon, genetic polymorphisms and urinary biomarkers have been high-frequency themes. Conclusion: Global collaboration needs to be further strengthened. Immune cell, cytokine and gene-level research as a whole and noninvasive tests are the future trends.

Smart cities and innovative urban management: Perspectives of integrated technological solutions in urban environments

The increasing urbanization in a poorly planned way accentuates the imbalance between the population's needs and the organized development in urban spaces. The present study is based on the development of a situational diagnosis in the scope of a smart city, for the contextualization of potential opportunities for actions and innovation strategies in urban spaces. This article presents a literature overview covering the innovative actions developed in the scope of smart cities in scientific publications. Furthermore, the scope of the study is identifying innovation initiatives in the performance of actions and solutions for urban spaces. A literature review was developed supported by mappings, couplings, and diagrams, through the use of VOSViewer and SciMat software, and 115 articles were selected and analyzed, considering the articles based on the criterion of the coefficient of the number of citations concerning the year of publication. In the literature overview developed, it was found that the research within the scope of smart cities has been deepened over the years, with the evolution of the number of words related to the theme in the period from 2014 to 2021, as the advance in the number of publications from 2018 is noticeable, which highlights the increase in popularity regarding the topic, as well as its current relevance. The study identified thematic axes with an emphasis on technology and innovation, environment, urbanism, energy, governance, mobility, and accessibility. The results contributed by assembling innovative smart city actions and practices in an interrelated way with technology, innovation, and market-oriented constructs aimed to reach urban demands, as well as the development of innovative solutions between public institutions and business organizations to integrate urban spaces.

Bibliometric insights into the evolution of uranium contamination reduction research topics: Focus on microbial reduction of uranium

Confronting the threat of environment uranium pollution, decades of research have yielded advanced and significant findings in uranium bioremediation, resulting in the accumulation of tremendous amount of high-quality literature. In this study, we analyzed over 10,000 uranium reduction-related papers published from 1990 to the present in the Web of Science based on bibliometrics, and revealed some critical information on knowledge structure, thematic evolution and additional attention. Methods including contribution comparison, co-occurrence and temporal evolution analysis are applied. The results of the distribution and impact analysis of authors, sources, and journals indicated that the United States is a leader in this field of research and China is on the rise. The top keywords remained stable, primarily focused on chemicals (uranium, iron, plutonium, nitrat, carbon), characters (divers, surfac, speciat), and microbiology (microbial commun, cytochrome, extracellular polymeric subst). Keywords related to new strains, reduction mechanisms and product characteristics demonstrated the strongest uptrend, while some keywords related to mechanism and performance were clearly emerging in the past 5 years. Furthermore, the evolution of the thematic progression can be categorized into three stages, commencing with the discovery of the enzymatic reduction of hexavalent uranium to tetravalent uranium, developing in the groundwater remediation process at uranium-contaminated sites, and delving into the research on microbial reduction mechanisms of uranium. For future research, enhancing the understanding of mechanisms, improving uranium removal performance, and exploring practical applications can be considered. This study provides unique insights into microbial uranium reduction research, providing valuable references for related studies in this field.

Exploring research trends and priorities of genus Melia

The genus Melia is known for its secondary metabolites and recently, this genus is being explored for its timber. There are vast differences among its species. For instance, Melia azedarach is reported to be invasive and while another species, M. dubia, has diverse utility with complex germination and regeneration characteristics. Researchers globally have been working on various aspects of this genus; In this study, using topic modelling and science mapping approach, we attempted to understand research facets on this genus. The literature corpus of the Web of Science database was explored using a single keyword-"Melia" which yielded 1523 publications (1946-2022) and after scrutiny metadata of 1263 publications were used in the study. Although nine individual species were cited in the publications, only three species are accepted viz., M. dubia, M. azedarach, and M. volkensii. This implies taxonomic uncertainty, with potential confusion in assigning scientific findings to particular species. Thus, a taxonomic relook on this genus is warranted for a better assessment of the economic utility in many countries. More importantly, our results indicate that the research interests have recently shifted from the secondary metabolite constituents towards growth, biomass, wood properties, germination, plantation, and green synthesis. The shift in research focus toward wood properties of Melia sp. can impact the wood demand-supply at a global scale owing to its fast growth and the possibility of cultivation over a wider geographical range.

Mapping the conceptual structure of ergonomics, musculoskeletal disorders, treatment and return to work in manual jobs: A systematic review

BACKGROUND

Musculoskeletal disorders constitute one of the major health problems of workers exposed to manual work throughout the world. Nevertheless, there is no study that maps its conceptual structure based on a systematic methodology.

OBJECTIVE

To identify the conceptual structure of ergonomics, MSDs, treatment and return to work in manual jobs in the last 12 years by applying a systematic co-word network analysis methodology which describes the replicability of the search filters and emphasizes the rigor that has to be followed in the creation of the network.

METHODS

The search filter was customized for each bibliographic database, and followed the PRISMA 2020 flowchart for the screening process. For the creation of the network, the titles, abstracts, and keywords were used as the unit of analysis extracting the noun phrases of the first two units. In the normalization process, the terms of the search filter were deleted and their associated terms, and standardized the similar terms. Regarding the plotting of the network, Vosviewer was used applying the network settings based on content analysis.

RESULTS

The co-word network shows three communities: Ergonomic assessment and workplace intervention tools, factors related to rehabilitation and return to work, and physical and mental overload management. For each community, there is a framework that explains the relationship within terms.

CONCLUSION

This study is aligned with the replicability, robustness, and relevance recommendations in the implementation of rigorous scientometric studies. The occupational health community is encouraged to implement scientometric studies following a rigorous methodology and working in interdisciplinary team.

Statistically and visually analyzing the latest advancements and future trends of uranium removal

Uranium contamination and remediation is a very important environmental research area. Removing radioactive and toxic uranium from contaminated media requires fundamental knowledge of targets and materials. To explore the-State-of-the-Art in uranium contamination control, we employed a statistical tool called CiteSpace to visualize and statistically analyze 4203 peer-reviewed papers on uranium treatment published between 2008 and 2022. The primary content presentations of visual analysis were co-authorships, co-citations, keyword co-occurrence analysis with cluster analysis, which could offer purposeful information of research hots and trends in the field of uranium removal. The statistical analysis results indicated that studies on uranium removal have focused on adsorption of uranium from aqueous solution. From 2008 to 2022, biochar and biological treatment were firstly used to sequester uranium, then adsorption for uranium removal dominates with adsorbents of graphene oxide, primary nanofiber magnetic polymers and metal-organic frameworks (MOFs). In recent years, photocatalysts and metal-organic frameworks are expected to be two of the most popular research topics. In addition, we further highlighted the characteristics and applications of MOFs and GOs in uranium removal. Overall, a statistical review was proposed to visualize and summarize the knowledge and research trends regarding uranium treatment.

The intersection of COVID-19 and air pollution: A systematic literature network analysis and roadmap for future research

This paper employs systematic literature network analysis, including a literature review and bibliometric network analysis, to explore the COVID-19 and air pollution literature. A total of 1208 relevant documents from the Scopus database were analyzed using VOSviewer and SciMAT to examine author, keyword, and country interconnections. The paper addresses three research questions: (1) the latest studies on COVID-19 and air pollution, (2) influential authors, documents, and sources in the field, and (3) the study's findings as a roadmap for future research. Visual representations of author and country networks highlight influential entities based on citation rate. Keyword cluster analysis via VOSviewer summarizes connections based on link strength. The strategic diagram generated by SciMAT offers insights into future research directions in specific thematic keywords: (1) air pollution, (2) nitrogen dioxide, (3) epidemiology, and (4) atmospheric aerosol. This analysis enhances understanding of COVID-19 and air pollution and guides future research endeavors.

Bibliometric analysis of parasite vaccine research from 1990 to 2019

Bibliometric and bibliographic analyses are popular tools for investigating publication metrics and thematic transitions in an expanding codex of biomedical literature. Bibliometric techniques have been employed in parasitology and vaccinology, with only a few malaria-specific literature analyses being reported specifically on parasite vaccines. The pursuit of parasite prophylactics is an important, global endeavour both medically and economically. As such, a comprehensive understanding of the research topics would be a valuable tool in assessing the current status and future directions of parasite vaccine development. Consequently, this study investigated parasite vaccinology from 1990 to 2019 by analysing literature exported from the Web of Science and Dimensions databases using two, commonly used, bibliometric programs: SciMAT and VOSviewer. The results of this study show the common, emerging, and transient themes within the discipline, and where the future lies as vaccine development moves further into the age of omics and informatics.

A Holistic Investigation of the Relationship between Digital Addiction and Academic Achievement among Students

Digital addiction (DA), an umbrella term referring to addiction to any type of digital media, such as the internet, smartphone, digital games, and social media, is a significant factor influencing students' academic achievement (AA). Many scholars have contributed to this line of research from around the world. Nevertheless, the literature lacks a holistic investigation of how the DA-AA research field evolved, which could guide future studies. The current study aims to address this void and conducts a combined bibliometric and science mapping analysis of research addressing the relationship between DA and AA. Data were retrieved from the WoS database, considered one of the optimal databases for such studies with its comprehensive coverage of quality journals. One hundred eighteen articles were included in the final dataset and were analyzed using the SciMAT software, which allowed analysis over three consecutive periods and yielded comparable results regarding the conceptual and thematic evolution of the DA-AA domain. The results indicated an increased research interest in the topic, especially during the last five years. The science mapping analysis showed that the most-studied types of addiction were smartphone addiction for the first two periods and social media addiction for the last. Research in the DA-AA domain which focused on understanding the addictive use of smartphones during the first period, evolved to address factors such as self-efficacy or life satisfaction leading to smartphone addiction and lower grades. During the third period, the number of factors addressed gained significant variety and covered family-related and personal factors.

Virtual power plant for energy management: Science mapping approach

A bibliometric analysis was conducted to examine the trends and developments in the field of Virtual Power Plants (VPPs) from 2000 to June 2022. The selection and identification of data involved a systematic search resulting in 1245 articles for bibliometric analysis after applying the inclusion and exclusion criteria. Strategic diagrams, overlay graphs, and evolution maps were used to analyze the trends and themes in different periods. The analysis reveals the emergence and evolution of various themes and their interconnections. In the early periods, the focus was on energy market issues, distributed generation, and the control of Distributed Energy Resources. Themes such as microgrids, renewable energy, electric vehicles, and economic analysis have gained prominence over time. The present study also identified the introduction of new concepts such as prosumers, collaborative networks, and dynamic power plants in later periods. The performance analysis for the last period (2022) highlighted the centrality and density of themes such as power plants, renewable power plants, battery energy storage systems, and robust optimization. These themes are considered both fundamental and transverse in the research field. This study discusses the importance of VPPs and battery energy storage systems in addressing grid intermittency issues and providing auxiliary market services. The analysis also emphasized the management of the demand side and the integration of electric vehicles and Building Energy Management Systems in VPPs. Therefore, future directions for VPP research include innovative structures and topologies, big-data analysis, and diversified optimization techniques. This study provides insights into the evolution and current state of research in the field of VPPs and identifies areas for further exploration and development.

A Holistic Review of Cyber-Physical-Social Systems: New Directions and Opportunities

A Cyber-Physical-Social System (CPSS) is an evolving subset of Cyber-Physical Systems (CPS), which involve the interlinking of the cyber, physical, and social domains within a system-of-systems mindset. CPSS is in a growing state, which combines secure digital technologies with physical systems (e.g., sensors and actuators) and incorporates social aspects (e.g., human interactions and behaviors, and societal norms) to facilitate automated and secure services to end-users and organisations. This paper reviews the field of CPSS, especially in the scope of complexity theory and cyber security to determine its impact on CPS and social media's influence activities. The significance of CPSS lies in its potential to provide solutions to complex societal problems that are difficult to address through traditional approaches. With the integration of physical, social, and cyber components, CPSS can realize the full potential of IoT, big data analytics, and machine learning, leading to increased efficiency, improved sustainability and better decision making. CPSS presents exciting opportunities for innovation and advancement in multiple domains, improving the quality of life for people around the world. Research challenges to CPSS include the integration of hard and soft system components within all three domains, in addition to sociological metrics, data security, processing optimization and ethical implications. The findings of this paper note key research trends in the fields of CPSS, and recent novel contributions, followed by identified research gaps and future work.

Analysis of cognitive framework and biomedical translation of tissue engineering in otolaryngology

Tissue engineering is a relatively recent research area aimed at developing artificial tissues that can restore, maintain, or even improve the anatomical and/or functional integrity of injured tissues. Otolaryngology, as a leading surgical specialty in head and neck surgery, is a candidate for the use of these advanced therapies and medicinal products developed. Nevertheless, a knowledge-based analysis of both areas together is still needed. The dataset was retrieved from the Web of Science database from 1900 to 2020. SciMAT software was used to perform the science mapping analysis and the data for the biomedical translation identification was obtained from the iCite platform. Regarding the analysis of the cognitive structure, we find consolidated research lines, such as the generation of cartilage for use as a graft in reconstructive surgery, reconstruction of microtia, or the closure of perforations of the tympanic membrane. This last research area occupies the most relevant clinical translation with the rest of the areas presenting a lower translational level. In conclusion, Tissue engineering is still in an early translational stage in otolaryngology, otology being the field where most advances have been achieved. Therefore, although otolaryngologists should play an active role in translational research in tissue engineering, greater multidisciplinary efforts are required to promote and encourage the translation of potential clinical applications of tissue engineering for routine clinical use.

Recovery and utilisation of waste heat from flue/exhaust gases: a bibliometric analysis (2010-2022)

The recovery and utilisation of waste heat from flue/exhaust gases (RU/WHFG) could potentially provide sustainable energy while curbing pollutant emissions. Over time, the RU/WHFG research landscape has gained significant traction and yielded innovative technologies, sustainable strategies, and publications. However, critical studies highlighting current advancements, publication trends, research hotspots, major stakeholders, and future research directions on RU/WHFG research remain lacking. Therefore, this paper presents a comprehensive bibliometric analysis and literature review of the RU/WHFG research landscape based on publications indexed in Scopus. Results showed that 123 publications and 2191 citations were recovered between 2010 and 2022. Publication trends revealed that the growing interest in RU/WHFG is mainly due to environmental concerns (e.g. pollution, global warming, and climate change), research collaborations, and funding availability. Stakeholder analysis revealed that numerous researchers, affiliations, and countries have actively contributed to the growth and development of RU/WHFG. Lin Fu and Tsinghua University (China) are the most prolific researchers and affiliations, whereas the National Natural Science Foundation of China (NSFC) and China are the most prolific funder and country, respectively. Funding availability from influential schemes such as NSFC has accounted for China's dominance. Keyword co-occurrence identified three major research hotspots, namely, thermal energy utilisation and management (cluster 1), integrated energy and resource recovery (cluster 2), and system analysis and optimisation (cluster 3). Literature review revealed that researchers are currently focused on maximising thermodynamic/energy efficiency, fuel minimisation, and emission reduction. Despite progress, research gaps remain in low-temperature/low-grade waste heat recovery, utilisation, storage, life cycle, and environmental impact analysis.

The Evolution and Future Trends of Unsaturated Polyester Biocomposites: A Bibliometric Analysis

Unsaturated polyester resin (UPR) is one of the first commercialized polymer matrices for composites reinforced with glass fibers, but has remained popular to this day. To reduce their environmental impact, natural fibers have been used as reinforcements. Researchers all over the world are still interested in these composites, and numerous papers have been published in the last four decades. Using bibliometric analysis, this work provides compiled, structured, and relevant information about the evolution and current state of these materials. This first study on UPR biocomposites based on bibliometric analysis examined 531 published papers identified in the Scopus database from 1982 to July 2022. An analysis of the most active states, leading institutions, and leading authors is followed by the identification of key areas such as the most common natural fibers used as reinforcements, fiber treatments, and composite design parameters such as processing techniques; recently, composite testing; and technological applications. The findings emphasize the importance of staying active in this global field and provide information on novel promising topics for future research.

Compact City: What Is the Extent of Our Exploration for Its Meanings? A Systematic Review

The compact city has garnered significant attention from researchers in academia, particularly in recent years, due to its relevance to various global challenges, such as climate change, COVID-19, economic crises, and urbanization. Given the vast knowledge represented in the compact city literature and its diverse perspectives, this study aims is a comprehensive literature review through bibliometric analysis. Following the PRISMA protocol, a total of 570 articles from the Scopus database published in English between 1973 and 2022 underwent screening at two main levels of bibliometric analysis: performance analysis and science mapping. The findings of this study reveal a substantial increase in scientific production related to the compact city over the years. Furthermore, the concept of the compact city encompasses multiple dimensions, with a significant emphasis on the urban dimension. Remarkably, Asian countries (regions), particularly mainland China and China-Hong Kong, demonstrate a notable interest in the compact city concept. In conclusion, this study provides valuable insights into the scientific production of compact city literature, highlighting its growth, multidimensionality, and geographic focus, which can inform future research and policymaking efforts.

Global city data analysis using SciMAT: a bibliometric review

Global cities play a significant role in world economy as they serve as key hubs of economic activity and trade. These cities are centers of innovation, finance, culture, and commerce, attracting businesses and entrepreneurs from all over the world. They are characterized by their openness, diversity, and their ability to attract and retain talent. This paper includes a bibliometric analysis of the structure of global cities through examining the literature on global cities, including the document type, country/territory distribution, institution distribution, geographical distribution of authors, specially most active authors and their interests or research areas, relationships between principal authors and more relevant journals, and the research hot spots. The input data consists of journal articles archived by the Web of Science from 1991 to 2023, and the analysis is performed using SciMAT and VOS Viewer. The result of this paper would provide valuable insights into the state of research on this topic, including who is conducting research, where it is being conducted, what types of publications are being produced, and which themes are having the most impact on the field. Such an analysis would be useful for researchers, policymakers, and other stakeholders interested in understanding the role of global cities in the world economy.

Graphical abstract

A bibliometric analysis of sustainable development goals (SDGs): a review of progress, challenges, and opportunities

The Sustainable Development Goals (SDGs) are a global appeal to protect the environment, combat climate change, eradicate poverty, and ensure access to a high quality of life and prosperity for all. The next decade is crucial for determining the planet's direction in ensuring that populations can adapt to climate change. This study aims to investigate the progress, challenges, opportunities, trends, and prospects of the SDGs through a bibliometric analysis from 2015 to 2022, providing insight into the evolution and maturity of scientific research in the field. The Web of Science core collection citation database was used for the bibliometric analysis, which was conducted using VOSviewer and RStudio. We analyzed 12,176 articles written in English to evaluate the present state of progress, as well as the challenges and opportunities surrounding the SDGs. This study utilized a variety of methods to identify research hotspots, including analysis of keywords, productive researchers, and journals. In addition, we conducted a comprehensive literature review by utilizing the Web of Science database. The results show that 31% of SDG-related research productivity originates from the USA, China, and the UK, with an average citation per article of 15.06. A total of 45,345 authors around the world have contributed to the field of SDGs, and collaboration among authors is also quite high. The core research topics include SDGs, climate change, Agenda 2030, the circular economy, poverty, global health, governance, food security, sub-Saharan Africa, the Millennium Development Goals, universal health coverage, indicators, gender, and inequality. The insights gained from this analysis will be valuable for young researchers, practitioners, policymakers, and public officials as they seek to identify patterns and high-quality articles related to SDGs. By advancing our understanding of the subject, this research has the potential to inform and guide future efforts to promote sustainable development. The findings indicate a concentration of research and development on SDGs in developed countries rather than in developing and underdeveloped countries.

Graphical abstract

Retrospective and Prospective Analysis on "Sexting": Indicators of Productivity, Dispersion, and Content (2009-2019)

In the last decade, research on "sexting" has undergone an exponential increase, giving rise to the publication of numerous studies clarifying its meaning, offering information of educational value, and favoring a good use of technology to prevent problems caused by this exchange of sexual information. The aim of this article was to analyze the production, performance, impact, and content of scientific articles evaluating the "sexting" thesaurus (title, abstract, and/or keywords) between 2009 and September 2019. Articles were sourced from two internationally recognized databases: Scopus and Web of Science. A scientometric study was then carried out on a sample of 641 articles that met the established inclusion criteria. The main findings indicate that "sexting" is a very recent research focus, but one in full growth phase, with scientific production related to the topic likely to double over the next few years. Although "sexting" has been researched worldwide, the scientific production of the US and American authors is the most notable. There were also some differences between the Scopus and Web of Science databases, mainly in the volume of production and the trend. However, the studies do show a common research line, "cyberbullying," and a common target population: adolescents. Therefore, the content analysis reveals that research on "sexting" is mostly carried out with adolescents and takes into consideration other themes such as cyberbullying, dating violence, and sexuality.

Hotspots and Trends of Layered Double Hydroxide-based Adsorbents for Polluted Water Treatment: Insights from Bibliometric Analysis

The use of layered double hydroxides (LDHs) as adsorbent for water treatment has been gaining relevance in recent years. In this context, this work aimed to map, through a bibliometric study, the extent of research that deals with the theme. The scientific database used was the Web of Science, and the chronology of the search consideredthe period from 1997 to 2022. The bibliometix R-package and VOSviewer software were used in this study. The searches retrieved a total of 663 documents, from 69 countries, distributed among all continents, which China (328), India (51) and Japan (40) were the most productive countries. Important journals in the environmental area and with high impact factor, such as Chemical Engineering Journal (44), Applied Clay Science (38), Journal of Hazardous Materials (35) and Chemosphere (27) most published in the area. The network of keywords used by the authors indicates that the publications retrieved deal mainly with aspects related to the efficiency of (LDHs) in the removal of different pollutants, the composition, the synthesis route and the association with other materials and/or techniques. The result of this study constitutes an important tool for directing future research on the subject.

Circularity in waste management: a research proposal to achieve the 2030 Agenda

Waste management is the main challenge in the transition away from the linear "take-make-dispose" economy. Incorporating the principles of circularity in waste management would facilitate the achievement of Sustainable Development Goals. This paper aims to provide state-of-the-art research about circular waste management in the fulfillment of the 2030 Agenda. For this purpose, bibliometric analysis by VOSviewer and SciMat software is used to define the evolution and to detect research trends. Based on the main gaps identified in studies, a research agenda to guide for further opportunities in this field is suggested. The results obtained four clusters that address sustainable industrial infrastructure, biological waste management, recycling in developing countries and recovery processes. Four research propositions are established, focusing on plastic waste management and generation trends, circular municipal waste management, more sustainable landfill management, and enablers such as indicators and legislation. The transformation towards more bio and ecological models requires social, regulatory and organizational tools that consider the best interests and capacity of companies, public authorities and consumers. In addition, policy implications are considered.

Neuroleadership: a new way for happiness management

In a post-pandemic era, managers and leaders have a role to enable the changes needed to make workplaces happier and more productive. This paper aims to analyse the role of neuroleadership in the application of happiness management. Two research questions are proposed: what do we know about neuroleadership? and what role can neuroleadership play in happiness management? A mixed methodology is applied. A bibliometric technique is used to identify the main topics studied in neuroleadership. An in-depth analysis and logical reasoning are applied to propose a neuroleadership research roadmap and to present some research pathways for neuroleadership for happiness management. A neuroleadership research roadmap is proposed, considering the approaches, practices/actions, and purposes. It is observed that the consideration of the management of emotions and cognitive processes in the work environment is attracting interest to develop a leadership focused on making better workplaces. A new line of action focused on the management of happiness is emerging. In addition, neuroleadership is presented as a new way of understanding management. Their combined application can mark a before and after in business management, and for that, a proposal of future research lines and questions is developed. This paper presents four future research pathways-perspectives, reasons, adoption and implementation, and results-for studying neuroleadership for happiness management.

A bibliometric and visual analysis of contaminant transport modeling in the groundwater system: current trends, hotspots, and future directions

Contaminant transport modeling (CTM) in the groundwater represents the complex bio-geo-chemical processes in the subsurface system and plays a vital role in designing remediation strategies for contaminated sites. Hence, this study evaluated 1955 articles on CTM-based studies published from 2010 to 2022 by utilizing the Scopus® database to provide a quantitative analysis of current trends and future directions. A systematic approach comprised of a bibliometric survey and visualization of various networks was conducted with the VOSviewer and Biblioshiny software for quantitative analysis of progress of CTM research field over the past decade. The hotspots and evolution of themes of CTM were found using Sankey diagrams, and thematic maps. It was observed that articles were published at an exponential rate over past 5 years. The analysis of Scopus® database revealed that the average citations per article and the average citations per year per article were 14.7 and 2.225. In the past decade, USA published 489 articles and emerged as the leading country based on mutual collaborations and cooperation with other top 9 most productive countries. Flinders University was ranked in the first position based on the number of articles, followed by Pacific Northwest National Laboratory. The findings obtained from this study can help researchers identify exploitation and core areas, to understand better the direction of research of mathematical model development, and to determine hotspots of CTM research field.

Pharmacists and pharmacy services in COVID-19 literature: A bibliometirc analysis

Background

The COVID-19 pandemic had an enormous impact on the global economy and healthcare. Pharmacists were vital members of the healthcare system, and they participated in various strategies to reduce the effect of the pandemic. Numerous papers were published discussing their roles during the pandemic. Bibliometric analysis was used to measure the impact of publications on this topic and assessed them qualitatively and quantitatively over a specific time.

Objective

Evaluate published literature pertaining to the roles of pharmacists and pharmacy services during the pandemic and identify gaps.

Methods

An electronic search was conducted on PubMed database using a specific query. Eligible publications were published in English between January 2020 and January 2022 and discussed the role of pharmacists, pharmacies, and pharmacy departments during the pandemic. Clinical trials, studies on pharmacy education/training, and conference abstracts were excluded.

Results

Of 954 records retrieved, 338 (35.4%) from 67 countries were included. Most papers (n = 113; 33.4%) were from the community pharmacy sector, followed by the clinical pharmacy sector (n = 89; 26.3%). Sixty-one (18%) papers were multinational, mostly involving two countries. The average number of citations of the included papers was 6 times (range 0-89). The most common MeSH terms were 'humans', 'hospitals', and 'telemedicine', where the former frequently co-appeared with the terms 'COVID-19' and 'pharmacists.'

Conclusions

Results from this study illustrate the innovative and proactive strategies developed by pharmacists during the pandemic. Pharmacists from around the world are encouraged to share their experiences for stronger healthcare systems to counter future pandemics and environmental disasters.

A Scientometric Analysis of Deep Learning Approaches for Detecting Fake News

The unregulated proliferation of counterfeit news creation and dissemination that has been seen in recent years poses a constant threat to democracy. Fake news articles have the power to persuade individuals, leaving them perplexed. This scientometric study examined 569 documents from the Scopus database between 2012 and mid-2022 to look for general research trends, publication and citation structures, authorship and collaboration patterns, bibliographic coupling, and productivity patterns in order to identify fake news using deep learning. For this study, Biblioshiny and VOSviewer were used. The findings of this study clearly demonstrate a trend toward an increase in publications since 2016, and this dissemination of fake news is still an issue from a global perspective. Thematic analysis of papers reveals that research topics related to social media for surveillance and monitoring of public attitudes and perceptions, as well as fake news, are crucial but underdeveloped, while studies on deep fake detection, digital contents, digital forensics, and computer vision constitute niche areas. Furthermore, the results show that China and the USA have the strongest international collaboration, despite India writing more articles. This paper also examines the current state of the art in deep learning techniques for fake news detection, with the goal of providing a potential roadmap for researchers interested in undertaking research in this field.

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression

Introduction

Using digital addiction as an umbrella term to cover any type of addictions to digital technologies such as the internet, smartphones, social media, or video games, the current study aimed to reveal the intellectual structure and evolution of research addressing digital addiction-depression relationship.

Methods

The study combined bibliometric and science mapping analysis methods for this purpose. Data for the study was gathered from Web of Science Core Collection after a comprehensive process of data search/extraction, and 241 articles were included in the final data set. A period-based, comparative science mapping analysis was performed using the SciMAT software.

Results

The analysis of data over three periods, Period 1 (1983-2016), Period 2 (2017-2019), and Period 3 (2020-2022) showed that internet addiction was the most significant theme across all three periods, which was followed by social media addiction. Depression, which emerged as a significant theme during Period 1, was later covered under anxiety disorder theme. Research interest was mostly on factors related to both addiction and depression such as cognitive distortion, insomnia, loneliness, self-esteem, social support, alexithymia, as well as cybervictimization or academic performance.

Discussion

The results suggested that much research is warranted on the digital addiction-depression relationship in different age cohorts, especially children and elderly. Similarly, the current analysis showed that this line of research particularly focused on internet, gaming and social media addiction, and evidence with regard to other types of digital addiction or related compulsive behaviors was almost absent. In addition, research was mostly inclined to understanding cause-effect relationships, which is significant, but preventive strategies seemed to be barely addressed. Likewise, the smartphone addiction-depression relationship arguably garnered less research interest, so future research would contribute to the field in this respect.

Global historical retrospect and future prospects on biomarkers of heart failure: A bibliometric analysis and science mapping

Introduction

Heart failure is a rapidly growing public health problem and has become a major cause of hospitalization in middle-aged and older adults. Biomarkers are clinically important in managing heart failure and have attracted more attention from researchers in recent years. This study aimed to evaluate the global research of heart failure biomarkers by bibliometrics and to identify the hot spots and perspectives for further advancement.

Methods

Selection of relevant documents was from the Web of Science Core Collection. Microsoft Excel, VOSviewer, SciMA, and CiteSpace software were used for bibliometric analysis.

Results

As of October 29, 2021, 5,978 documents for heart failure biomarkers have been identified from 1989 to 2021. European Journal of Heart Failure and Circulation respectively ranked first in terms of the number of publications and the number of co-citations. A total of 5,698 institutions from 90 countries participated in these publications, with the USA leading with 2,045 documents. The most productive institution was Harvard University. Januzzi, J.L. and Maisel, A.S. were the most productive and most cited authors respectively. Natriuretic peptide, copeptin, valsartan, ferric carboxymaltose, empagliflozin, preserved ejection fraction, myocardial fibrosis, and heart transplantation were hot themes.

Conclusions

Extensive national and inter-institutional collaboration should be enhanced to bridge the gap between developed and less developed countries in heart failure biomarkers research. The research in this field seems to have reached a relatively mature stage, with a decrease in research fervor in recent years. The study of the natriuretic peptide family still has high centrality, with advances in the study of expression products and inflammatory markers. Cardiac fibrosis, cardiac remodeling, and therapies regarding heart failure have become hot spots.

Detecting the research trends and evolution of energy resilience: a bibliometric analysis

The concept of resilience is widely used in many specific fields, such as energy. Energy resilience is receiving increasing scientific attention. In the long-term sustainable development of society, energy and resilience policies are the key strategies to achieve international development goals. This paper analyzes the existing energy resilience literature and presents the research hot spots and trends. After extracting 4887 articles from the Science Citation Index Expanded and Social Sciences Citation Index databases, this paper takes the literature data during 1985-2021 through topic search using the keywords of energy resilience and applies bibliometrics to study the development traits of the field. The primary research purposes are to discover the knowledge framework of energy resilience, together with a review of integral development trends, elementary publication characteristics, and an analysis of related leading journals. Aside from analyzing the number of publications, citations, and cooperation types, this study identifies the most prolific researchers from the country-level, institution-level, and author-level in this area, thus providing a longitudinal overview of the dynamic research evolution of energy resilience and the knowledge spread locus in this domain.

Scientific evolution of Corporate Social Responsibility. A bibliometric analysis with mapping analysis tools

When the term Corporate Social Responsibility (CSR) is heard today, a multitude of concepts such as Corporate Social Responsibility, Social Responsibility, Sustainable Development or Sustainability comes to mind where, without losing the essence of what its implementation entails, it implies not the existence of a consensus that unifies everything into a theory. The objective of this study is to obtain a better understanding of the current situation and trends in this area of research. Thus, in this paper, bibliometrics is used to evaluate performance and productivity in CSR, and scientific maps to extract and classify the most important research topics in this area. The results obtained when analyzing the period 1978-2017 show the conceptual evolution of CSR research, demonstrating the growth potential of CSR, as well as its great development, being the main thematic areas identified: Financial Performance, Corporate Reputation, Ethics, Consumers, Employees and Risk.

Mapping the youth soccer: A bibliometrix analysis using R-tool

In recent years, there has been an increase in the scientific production of youth soccer. However, a panoramic map of research on this subject does not exist. The aim of this study was to identify global research trends in youth soccer over time, among the main levels of analysis: sources, authors, documents, and keywords. The bibliometric software Biblioshiny was used to analyze 2606 articles in Web of Science (WoS) published between 2012 and 2021. The main conclusion is that US and UK scholars dominate the research; the topics of research are changing with the real needs, and research on the topic of performance has been of interest to scholars; talent identification and development, performance, injury prevention, and concussion are the studies of interest to scholars in this area. This finding, which offers a global picture of youth soccer research over time, can help future research in this or similar domains.

Mapping the knowledge of traffic collision Reconstruction: A scientometric analysis in CiteSpace, VOSviewer, and SciMAT

Traffic collisions are incidents with high fatality rate which generate billions of US dollars of loss worldwide each year. Post-collision scene reconstruction, which involves knowledge of multiple disciplines, is an important approach to restore the traffic collision and infer the cause of it. This paper uses software CiteSpace, VOSviewer, and SciMAT to conduct a visualization study of knowledge mapping on the literature of traffic collision scene reconstruction from 2001 to 2021 based on the Web of Science database. Knowledge mapping is a cutting-edge research method in scientometric, which has been widely applied in medicine and informatics. Compared with traditional literature review, knowledge mapping with visual techniques identifies hot keywords and key literature in the field more scientifically, and displays them in schematic diagrams intuitively which allows to further predict potential hotspots. A total of 803 original papers are retrieved to analyze and discuss the evolution of the field in the past 20 years, from macro to micro, in term of background information, popular themes, and knowledge structure. Results indicate the number of publications in this field is limited, and collaborations among authors and among institutions are insufficient. In the meantime, mappings imply the top three hot themes being scene reconstruction, computer technology, and injuries. The introduction of AI related technologies, such as neural networks and genetic algorithms, into collision reconstruction would be a potential research direction.

Green and sustainable business models: historical roots, growth trajectory, conceptual architecture and an agenda for future research-A bibliometric review of green and sustainable business models

Over the last two decades, green and sustainable business models (GnSBMs) have become a prominent topic of discussion among scholars, practitioners and policymakers. Preponderance of research and an increasing global pressure to adopt GnSBMs necessitate a comprehensive understanding of the state of research on GnSBMs. Towards this end, we extracted 851 publications on GnSBMs from the Scopus database and employed a series of bibliometrical techniques to: (1) explore the historical roots and sleeping beauties, (2) assess the life cycle, (3) map the conceptual evolution and (4) propose a research agenda for this growing field. Our analysis revealed that research on GnSBMs is moving from a multidisciplinary to an interdisciplinary domain. Its historical roots can be traced to the pioneering works on business strategy in the 1950s, environmental science in the early 1960s and stakeholder theory in the 1980s. Life cycle analysis indicated that research on GnSBM went through an introductory stage from 2002 to 2013 and then began to rapidly grow in 2014, and this growth is forecast to continue until circa 2040. The conceptual structures from 2002 to 2013 and 2014 to 2020 were mapped and an agenda for future research was proposed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11192-022-04577-2.

Mapping the field of bioenergy with carbon capture and storage (BECCS): scientific cooperation and co-citation analyses

Bioenergy with carbon capture and storage (BECCS), as the most scalable negative emission technology, can limit global warming to 1.5 ℃ under climate change scenarios. With increasing research on BECCS, concerns have been raised about its deployment and impacts. In view of the limited research on the possible structure and collaboration in the field of BECCS, this study sought to determine the scientific cooperation and knowledge structure using bibliometric approaches based on a science mapping analysis. Co-authorship and co-citation networks were developed from CiteSpace to explore the individual, institutional, and national collaborations, and detect the knowledge structure in the field of BECCS. Six key research groups with connections were found with the research group centered on NIALL MAC DOWELL and PETE SMITH being more focused on BECCS. Cluster analysis results show that the knowledge structure of BECCS has gradually formed. The research field has been continuously developed and relatively independent. The findings provide researchers with an in-depth understanding of the current state of BECCS research and its knowledge structure.

Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives

The objective of this paper is to perform an in-depth analysis of the literature on the competencies for implementing and leveraging artificial intelligence (AI) within organisations. From a bibliometric study using SciMat with articles from the Web of Science database, we identified 421 papers published between 1992 and 2020. This study offers a systematisation of the competencies and skills for AI, highlighting the most prominent, basic, specialised and emerging themes, and providing a performance measure analysis of this field. In addition, major challenges and a research agenda are discussed. The organisational challenge is to achieve a workforce with the necessary digital competencies, and to adapt human resource management practices to AI challenges.

Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review

Artificial intelligence and its subcategories of machine learning and deep learning are gaining increasing importance and attention in the context of sports research. This has also meant that the number of corresponding publications has become complex and unmanageably large in human terms. In the current state of the research field, there is a lack of bibliometric analysis, which would prove useful for obtaining insights into the large amounts of available literature. Therefore, the present work aims to identify important research issues, elucidate the conceptual structure of the research field, and unpack the evolutionary trends and the direction of hot topics regarding key themes in the research field of artificial intelligence in sports. Using the Scopus database, 1215 documents (reviews and articles) were selected. Bibliometric analysis was performed using VOSviewer and bibliometrix R package. The main findings are as follows: (a) the literature and research interest concerning AI and its subcategories is growing exponentially; (b) the top 20 most cited works comprise 32.52% of the total citations; (c) the top 10 journals are responsible for 28.64% of all published documents; (d) strong collaborative relationships are present, along with small, isolated collaboration networks of individual institutions; (e) the three most productive countries are China, the USA, and Germany; (f) different research themes can be characterized using author keywords with current trend topics, e.g., in the fields of biomechanics, injury prevention or prediction, new algorithms, and learning approaches. AI research activities in the fields of sports pedagogy, sports sociology, and sports economics seem to have played a subordinate role thus far. Overall, the findings of this study expand knowledge on the research situation as well as the development of research topics regarding the use of artificial intelligence in sports, and may guide researchers to identify currently relevant topics and gaps in the research.

Knowledge management and performance: a bibliometric analysis based on Scopus and WOS data (1988–2021)

Purpose

This study aims to analyze the trends manifested in literature from the area of knowledge management and performance, with emphasis on bibliometric analysis.

Design/methodology/approach

To explore the studies focused on the area under investigation, the authors performed a search in ISI Web of Science and Scopus using the combination of keywords such as “Knowledge management” AND “Performance.” Generally, this study covered a period of 33 years, from 1988 to 2021 because the first study was published in 1970 and the databases have not covered all the journals and studies which date back to the early 1970s or 1980s. The final data set comprised 1,583 publications with 40 articles removed during the screening and eligibility process.

Findings

The results of the bibliometric analysis indicate that the interest in the area of knowledge management and performance has significantly increased, especially from 2000 to 2021. The application of bibliometric analysis on the relationship between knowledge management and performance uncovered various themes, productive authors and widely cited documents. The study highlighted how the knowledge management–performance relationship has evolved over the years and how the interplay between knowledge management and performance may help the firms in gaining the sustainable competitive advantage.

Originality/value

To the best of the author’s knowledge, this study is the first of its kind to conduct the bibliometric analysis on knowledge management and performance. This study can be a starting point for scholars interested in understanding how knowledge management is related to performance.

Research on the remediation of cesium pollution by adsorption: Insights from bibliometric analysis

While nuclear energy with zero carbon emissions will continue to occupy an indispensable position in future scenarios for power generation, the proper disposal of nuclear waste is still highly challenging in many countries. Adsorption is currently one of the primary methods used for removal of cesium from wastewater. However, no available literature has systematically summarized advances and outlooks on the adsorptive removal of cesium, and research issues such as relevant adsorption mechanisms remain largely unexplored. In this study, a bibliometric analysis was used to quantitatively analyze 10141 publications in the Web of Science Core Collection that were published from 1900 to 2022. Current publication trends and active countries, most influential authors and institutions, journal distribution, and research hotspots and trends were reviewed and summarized. The results for the conceptual structure and evolution of investigations in this field showed three distinct periods of rapid development in recent decades. The first period concerned the scope, degree, and influences of pollution by cesium and the development of natural adsorbents. The second period included the exploration and verification of adsorption mechanisms, the fabrication and optimization of new materials, and the application of density functional theory for chemical calculations. The third period involved the development of more advanced biodegradable, nanoscale and synthetic materials with great potential for use as adsorbents as well as advances in engineering applications. Notably, the study showed that it is necessary to further enhance application-driven laboratory investigations. Future directions for research were proposed, such as the investigation of complex adsorption mechanisms, development of new materials, and engineering applications of materials developed in the laboratory. The findings will provide valuable insights and serve as a reference for researchers and policymakers as they address the adsorptive remediation of cases of pollution by cesium.

Using Artificial Intelligence for Drug Discovery: A Bibliometric Study and Future Research Agenda

Drug discovery is usually a rule-based process that is carefully carried out by pharmacists. However, a new trend is emerging in research and practice where artificial intelligence is being used for drug discovery to increase efficiency or to develop new drugs for previously untreatable diseases. Nevertheless, so far, no study takes a holistic view of AI-based drug discovery research. Given the importance and potential of AI for drug discovery, this lack of research is surprising. This study aimed to close this research gap by conducting a bibliometric analysis to identify all relevant studies and to analyze interrelationships among algorithms, institutions, countries, and funding sponsors. For this purpose, a sample of 3884 articles was examined bibliometrically, including studies from 1991 to 2022. We utilized various qualitative and quantitative methods, such as performance analysis, science mapping, and thematic analysis. Based on these findings, we furthermore developed a research agenda that aims to serve as a foundation for future researchers.

Knowledge development visualization and mapping path of the psychological capital research

With the respect to the key factors, namely the psychological state of individuals and organizations, psychological capital (PsyCap) is widely used in various fields, such as management decisions and organizational behavior. To fully show the related studies and their knowledge development and mapping path, in this paper, we examine 2,786 papers about the PsyCap related research from 1970 to 2021. Based on the bibliometric analysis and main path demonstration (the tools are Cite-Space and Pajke, respectively), we derive some conclusions as follows: (1) the publication number about the PsyCap study is growing rapidly and it is a highly cross-cutting research topic. (2) The main authors come from Australia, the United States, and China, and also are the core researchers. (3) Refinement and measurement in the PsyCap study are constant and hot topics. (4) Stress, performance and well-being issues among students, health care workers and corporate employees are core research themes, and team organization, creativity, innovation, and COVID-19 are hot topics in this field. The bibliometric analysis are quantitatively analyzed to provide scholars with a more comprehensive insight into PsyCap research. The main path demonstration helps scholars to understand the main lines and key nodes of development in the field of psychological capital.

Diverse roles of the CIPK gene family in transcription regulation and various biotic and abiotic stresses: A literature review and bibliometric study

CIPKs are a subclass of serine/threonine (Ser/Thr) protein kinases. CBLs are ubiquitous Ca2+ sensors that interact with CIPK with the aid of secondary Ca2+ messengers for regulation of growth and development and response to stresses faced by plants. The divergent roles of the CIPK-CBL interaction in plants include responding to environmental stresses (salt, cold, drought, pH, ABA signaling, and ion toxicity), ion homeostasis (K+, NH4 +, NO3 -, and microelement homeostasis), biotic stress, and plant development. Each member of this gene family produces distinct proteins that help plants adapt to diverse stresses or stimuli by interacting with calcium ion signals. CIPK consists of two structural domains-an N-terminal domain and a C-terminal domain-connected by a junction domain. The N-terminal domain, the site of phosphorylation, is also called the activation domain and kinase domain. The C-terminal, also known as the regulatory domain of CIPK, further comprises NAF/FISL and PPI. CBL comprises four EF domains and conserved PFPF motifs and is the site of binding with the NAF/FISL domain of CIPK to form a CBL-CIPK complex. In addition, we also performed a bibliometric analysis of the CIPK gene family of data extracted from the WoSCC. A total of 95 documents were retrieved, which had been published by 47 sources. The production over time was zigzagged. The top key terms were gene, CIPK, abiotic stress, and gene expression. Beijing Forestry University was the top affiliation, while The Plant Cell was the top source. The genomics and metabolomics of this gene family require more study.