Global scientific production on GIS research by bibliometric analysis from 1997 to 2006

Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990-2019

Artificial Intelligence (AI) has emerged as a field of knowledge that is displacing and disrupting technologies, leading to changes in human life. Therefore, the purpose of this study is to scientifically map this topic and its ramifications, in order to analyze its growth. The study was developed under the bibliometric approach and considered the period 1990-2019. The steps followed were (i) Identification and selection of keyword terms in three methodological layers by a panel of experts. (ii) Design and application of an algorithm to identify these selected keywords in titles, abstracts, and keywords using terms in Web of Science to contrast them. (iii) Performing data processing based on the Journals of the Journal Citation Report during 2020. Knowing the evolution of a field of knowledge such as AI from a bibliometric study and subsequently establishing the ramifications of new research streams is in itself a relevant finding. Addressing a broad field of knowledge as AI from a multidisciplinary approach given the convergence it generates with other disciplines and specialties is of high strategic value for decision makers such as governments, academics, scientists, and entrepreneurs.

Dyslexia: A Bibliometric and Visualization Analysis

Dyslexia is a disorder characterized by an impaired ability to understand written and printed words or phrases. Epidemiological longitudinal data show that dyslexia is highly prevalent, affecting 10-20% of the population regardless of gender. This study aims to provide a detailed overview of research status and development characteristics of dyslexia from types of articles, years, countries, institutions, journals, authors, author keywords, and highly cited papers. A total of 9,166 publications have been retrieved from the Social Sciences Citation Index (SSCI) and Science Citation Index Expanded (SCI-E) from 2000 to 2021. The United States of America, United Kingdom, and Germany were the top three most productive countries in terms of the number of publications. China, Israel, and Japan led the Asia research on dyslexia. University of Oxford had the most publications and won first place in terms of h-index. Dyslexia was the most productive journal in this field and Psychology was the most used subject category. Keywords analysis indicated that "developmental dyslexia," "phonological awareness," children and fMRI were still the main research topics. "Literacy," "rapid automatized naming (RAN)," "assessment," "intervention," "meta-analysis," "Chinese," "executive function," "morphological awareness," "decoding," "dyscalculia," "EEG," "Eye tracking," "rhythm," "bilingualism," and "functional connectivity" might become the new research hotspots.

A Bibliometric Analysis of Global Research on Lophomonas Spp. in Scopus (1933-2019)

BACKGROUND

This study was designed to analyze the global research on Lophomonas spp. using bibliometric techniques.

METHODS

A bibliometric research was carried out using the Scopus database. The analysis unit was the research articles conducted on Lophomonas spp.

RESULTS

A total of 56 articles on Lophomonas spp. were indexed in the Scopus throughout 1933-2019 (87 years) with the following information: (A) The first article was published in 1933; (B) 21 different countries contributed in studies related to Lophomonas spp.; (C) China ranked first with 16 publications about Lophomonas spp.; and (D) "Brugerolle, G" and "Beams, H.W." from France and the US participated in 4 articles respectively, as the highest number of publications in the Lophomonas spp. network.

DISCUSSION

After 87 years, Lophomonas still remains unknown for many researchers and physicians around the world. Further studies with high quality and international collaboration are urgently needed to determine different epidemiological aspects and the real burden of the mysterious parasite worldwide.

Scientometric Analysis of Global Research on Trichomoniasis in Scopus Database (1922 -2018)

BACKGROUND

Trichomoniasis is a sexually transmitted disease (STD) prevalent in different parts of the world. The present study was designed to evaluate the scientific output and collaboration of researchers worldwide on trichomoniasis.

METHODS

In the present scientometric research, all papers conducted on Trichomonas vaginalis (T. vaginalis) published in the time period of 1922 to 2018 were extracted from the Scopus database and evaluated according to the aims of the research, using scientometric software.

RESULTS

The results of this search strategy were the retrieval of 12,596 scientific papers authored by a total of 28,822 people during 97 years (1922-2018). Research in this field has encountered success and failure over the years. The first article on trichomoniasis at the Scopus database was published by Musgrave W.E. (1922) in the "Journal of the American Medical Association". Most papers on this subject (352) were published in 2013; and the years 2017 and 2016 are ranked second and third. Researchers from the US Centers for Disease Control and Prevention have the highest number of papers in this field (210). Alderete J.F. with 111 papers is the most active researcher on trichomoniasis in Scopus. Also, researchers from the US ranked the first with 3,236 papers. In Iran, by the end of 2018, 138 papers on trichomoniasis have been registered in Scopus, which accounts for only one percent of the world's science production in this field.

DISCUSSION AND CONCLUSION

The results following about one century indicated that the number of publications on T. vaginalis is growing and that there is a high level of collaboration among researchers in this field. Moreover, many countries have collaborated internationally on trichomoniasis research with the US as the leading country.

An Evolutionary Approach to Technology Innovation of Cadastre for Smart Land Management Policy

In this study, we attempted to quantitatively determine the characteristics of keyword networks in the cadastre field using major contents of research drawn from international academic papers. Furthermore, we investigated the macroscopic evolution of cadastral research and examined its keyword network in detail (at a global scale) using semantic analysis. The analysis was carried out based on cadastral-research-related publications extracted from “Scopus” for 1987 to 2019. It was found that cadastre research has closely followed the recent trend of a growing interest in research on geospatial information and standardization. The results showed the advancement of technology innovation within the field of cadastres, as highlighted in the combination of relevant keywords (mostly from those related to spatial information technology and participation of civilians). These new issues are expected to drive the evolution of the academic scope in the future through synthesis with other fields for smart land management policy.

Intellectual Structure of CORINE Land Cover Research Applications in Web of Science: A Europe-Wide Review

The objective of this paper is to manifest the intellectual and cognitive structure of CORINE Land Cover (CLC) research applications. Data from the Web of Science (WoS) was used to delimit publication on CLC during the period from 1985 until 2019 (29th April), retrieving a total of 873 documents. Through author citations, the origins and the most influential papers were identified. The main lines of research were identified from word co-occurrences extracted from the titles, keywords, and abstracts of the papers. In the view of both structures, it can be concluded that CORINE land cover constitutes a relatively young set of scientific data, with a constant expansion and a strongly interdisciplinary structure. The development of this application is dependent on the knowledge of such research areas as geography, remote sensing, ecology, forestry, agriculture, engineering, optics, and/or computer science. We believe that this information could be very useful for CLC users, as it reflects a large-scale analysis of the research lines of CLC and illuminates how research has changed over time in diverse areas of applications. Moreover, this study is intended to offer a useful tool for the CLC scientific community, showcasing the main research lines and the most noteworthy papers. Finally, the methodology used in this study can be replicated in many other fields of science to explore its intellectual and cognitive structure.

Econometric Analysis of Brazilian Scientific Production and Comparison with BRICS

This article proposes a study that placed Brazilian scientific production at the core of the debate, and Brazil as a member of BRICS framework emphasises its importance. It starts from the argument that scientific production is a key factor considering that it is through knowledge that societies evolve. This issue becomes even more relevant when pointing to the capitalist production model that transforms knowledge into wealth. That was the starting point for leading an econometric study to formulate a model to explain Brazilian scientific production from 1994 to 2014. The least square method was used to estimate the parameters of a production function to identify the variables that most influenced, statistically, the behaviour of Brazilian scientific production. The main variables that strongly explained the number of published articles, proxy of the scientific production, are number of post-graduate programmes, number of masters and doctors, Brazilian population and expenditure on research and development (R&D). The present study showed that postgraduate programmes are the ones that most influenced the behaviour of Brazilian published articles. Therefore, it is necessary to equip Brazilian postgraduate system to create the basis of a structure, which, in the near future, will produce knowledge in large scale and with high competitiveness.

Scientific Performance of Brazilian Researchers in Pharmacology with grants from CNPq: A comparative study within the Brazilian categories

ABSTRACT In Brazil, scientific performance of researchers is one important criteria for decision-making in grant allocation. In this context, this study aimed to evaluate and compare the profile of 82 seniors' investigators (graded as level 1A-D) which were receiving CNPq (National Council for Scientific and Technological Development) productivity grant in Pharmacology, by analyzing the pattern of citation of their papers and h-index. Total documents, citations (with and without self-citations) and h-index (with and without self-citations) were retrieved from the Scopus database. The results indicated a clear difference among researchers from the higher categories (1A and 1B) in most of the parameters analyzed. However, no noticeable differentiation was found between researchers from grant category 1C and 1D. The results presented here may inform the scientific community and the grant agencies on the profile of PQ 1(A-D) fellows of Pharmacology, and may help to define new differences within CNPq grant categories, and consequently, a better allocation of grants.

Conceptualization of science using collaboration and competences

Purpose

The purpose of this paper is to propose an approach for conceptualizing science based on collaboration and competences of researchers.

Design/methodology/approach

The research is conducted by exploratory analysis of collaboration and competences using case studies from humanistic, engineering, natural sciences and a general topic.

Findings

The findings show that by applying the proposed approach on bibliographic data that readily exist for many national sciences as well as for international scientific communities, one can obtain useful new insights into the research. The approach is demonstrated with the following exploratory findings: identification of important connections and individual researchers that connect the community of anthropologists; collaboration of technical scientists in the community of anthropologists caused by an interdisciplinary research project; connectivity, interdisciplinary and structure of artificial intelligence, nanotechnology and a community based on a general topic; and identifying research interest shift described with concretization and topic-shift.

Practical implications

As demonstrated with the practical implementation (http://scienceatlas.ijs.si/), users can obtain information of the most relevant competences of a researcher and his most important collaborators. It is possible to obtaining researchers, community structure and competences of an arbitrary research topic.

Social implications

The map for collaboration and competences of a complete science can be a crucial tool for policy-making. Social scientists can use the results of the proposed approach to better understand and direct the development of science.

Originality/value

Originality and value of the paper is in combining text (competences) and network (research collaboration and co-authoring) approaches for exploring science. Additional values give the results of analysis that demonstrate the approach.

Mapping the scientific research on wine and health (2001-2011)

There have been a substantial number of studies suggesting possible health benefits from polyphenols in wine, especially red wine. These hypothetical effects, in addition to those of alcohol, are attributed by many to antioxidant and anti-inflammatory effects of the polyphenols. The aim of this paper was to map the scientific research on wine and health by using bibliographic analyses of papers published during the period 2002-2011. Papers were published in 535 different journals and in 106 different subject categories, the most productive journals being the Journal of Agricultural and Food Chemistry, Food Chemistry and Molecular Nutrition, and Food Research, and the most productive subject category being food science and technology. Institutions in the main network of collaboration between centers were primarily located in France, Italy, and the United State. The number of papers on the medicinal use of wine has been dramatically rising in recent years because of the increased awareness of its importance in modern society. We emphasize the large distribution of information among numerous journals and the multidisciplinary nature of the topic. In the network of co-words, we observe the central role played by the terms "resveratrol", "wine", and "polyphenols".

Framing the structure of global open innovation research

This study proposes a way of mapping open innovation research structure by quantitatively analyzing open innovation research papers retrieved from Web of Science database. A total of 130 papers are retrieved in this study and 62 papers which contain keywords are chosen for research structure visualization. Open innovation research networks are quantitatively investigated by combining network theory and keyword co-occurrence. Contour maps of open innovation are also created on the basis of networks for visualization. The networks and contour maps can be expressed differently by choosing different information as the main actors, such as the paper author, the institute, the country or the author-keywords, to reflect open innovation research structures in micro, meso, and macro-levels, respectively. The quantitative ways of exploring open innovation research structure are investigated to unveil important or emerging open innovation components as well as to demonstrate visualization of the structure of global open innovation research. The quantitative method provided in this project shows a possible way of visualizing and evaluating research community structure and thus a computerized calculation is possible for potential quantitative applications on open innovation research management, e.g. R&D resource allocation, research performance evaluation, and science map.

Quantitative mapping of patented technology - The case of electrical conducting polymer nanocomposite

This study aims to obtain global technology evolution by constructing and analyzing patent citation network and patent citation map for the field of electrical conducting polymer nanocomposite. A total of 1421 patents are retrieved from USPTO patent database and patent citation network is established by combing both patent citation and social network analysis. Network properties, e.g. Degree Centrality, Betweenness Centrality, and Closeness Centrality, are calculated for representing several technology evolution mechanisms that first proposed in this study. Also, a distance-based patent citation map is constructed by calculating relative distances and positions of patents in the patent citation network. Quantitative ways of exploring technology evolution are investigated in this study to unveil important or emerging techniques as well as to demonstrate dynamics and visualization of technology evolutions.