Classification method for detecting coercive self-citation in journals

Self-referencing rates in biological disciplines

The use of citation counts (among other bibliometrics) as a facet of academic research evaluation can influence citation behavior in scientific publications. One possible unintended consequence of this bibliometric is excessive self-referencing, where an author favors referencing their own publications over related publications from different research groups. Peer reviewers are often prompted by journals to determine whether references listed in the manuscript under review are unbiased, but there is no consensus on what is considered "excessive" self-referencing. Here, self-referencing rates are examined across multiple journals in the fields of biology, genetics, computational biology, medicine, pathology, and cell biology. Median self-referencing rates are between 8-13% across a range of journals within these disciplines. However, self-referencing rates vary as a function of total number of references, number of authors, author status/rank, author position, and total number of publications for each author. Importantly, these relationships exhibit interdisciplinary and journal-dependent differences that are not captured by examining broader fields in aggregate (e.g., Biology, Chemistry, Physics, etc.). These results provide useful statistical guidelines for authors, editors, reviewers, and journals when considering referencing practices for individual publications, and highlight the effects of additional factors influencing self-referencing rates.

Suresh Kumar, Ch. Vidyadhari, R. Ganeshan. Infgraph: Influential Researcher and Cited Research Analysis Using Citation Network

The understanding of references in research articles is essential for performing effectual research. This paper devises a hybrid model to find the influential cited paper and influential researchers from Web of Science (WOS) data. For determining the influential researcher, a series of steps is performed. Then the co-citation is performed for providing author-author co-relation that predicts the next co-author. Thereafter, visualization of the network is performed for research communication amongst different authors. Then, the network density is computed. Finally, the cluster coefficient is adapted for finding the influential researcher. Concurrently, for discovering influential cited papers, the pre-processing is performed using the stop word removal and stemming process. Then, the word2vec model is utilized for training the model to forecast the suitable word that comes next. Finally, the modified word mover's distance (MWMD) is utilized for determining the semantic similarity in order to discover influential cited papers.

Biosurfactants produced from corncob: a bibliometric perspective of a renewable and promising substrate

The reuse of agro-industrial waste has been a recurring issue since the 20th century. With a composition rich in carbohydrates and because of the massive amount of residue produced daily all over the world, corncob became a low-cost and suitable substrate to produce high added-value compounds. Biosurfactants are bioproducts of versatile applications due to their chemical structure with hydrophilic and hydrophobic regions. The current work performed a bibliometric analysis to identify research related to the synthesis of biosurfactants using corncob as substrate. Despite the high availability of corncobs, only nine articles were found in Scopus and Web of Science using different pretreatment processes and microorganisms. After an initial screening, data regarding research organizations, scientific journals, citations, countries, institutions, and keywords were analyzed. Results indicated that corncobs were also used to produce enzymes, adsorbents, activated carbon, and furfural. The presented evaluation updated the status of art, identifying a serious need for more research, especially because of corncob's high potential to provide fermentable sugars and the wide range of variables influencing fermentation processes that still need to be studied. A future association of this low-cost substrate with other methods can result in a promising scenario for technology transference.

How much is too much? The difference between research influence and self-citation excess

Citations can be an indicator of publication significance, utility, attention, visibility or short-term impact but analysts need to confirm whether a high citation count for an individual is a genuine reflection of influence or a consequence of extraordinary, even excessive, self-citation. It has recently been suggested there may be increasing misrepresentation of research performance by individuals who self-cite inordinately to achieve scores and win rewards. In this paper we consider self-referencing and self-citing, describe the typical shape of self-citation patterns for carefully curated publication sets authored by 3517 Highly Cited Researchers and quantify the variance in the distribution of self-citation rates within and between all 21 Essential Science Indicators’ fields. We describe both a generic level of median self-referencing rates, common to most fields, and a graphical, distribution-driven assessment of excessive self-citation that demarcates a threshold not dependent on statistical tests or percentiles (since for some fields all values are within a central ‘normal’ range). We describe this graphical procedure for identifying exceptional self-citation rates but emphasize the necessity for expert interpretation of the citation profiles of specific individuals, particularly in fields with atypical self-citation patterns.

Journals that Rise from the Fourth Quartile to the First Quartile in Six Years or Less: Mechanisms of Change and the Role of Journal Self-Citations

Journal self-citations may be increased artificially to inflate a journal’s scientometric indicators. The aim of this study was to identify possible mechanisms of change in a cohort of journals that rose from the fourth (Q4) to the first quartile (Q1) over six years or less in Journal Citation Reports (JCR), and the role of journal self-citations in these changes. A total of 51 different journals sampled from all JCR Science Citation Index (SCI) subject categories improved their rank position from Q4 in 2009 to Q1 in any year from 2010 to 2015. I identified changes in the numerator or denominator of the Journal Impact Factor (JIF) that were involved in each year-to-year transition. The main mechanism of change was the increase in the number of citations used to compute the JIF. The effect of journal self-citations in the increase of the JIF was studied. The main conclusion is that there was no evidence of widespread JIF manipulation through the overuse of journal self-citations.

Preserving the Integrity of Citations and References by All Stakeholders of Science Communication

Citations to scholarly items are building bricks for multidisciplinary science communication. Citation analyses are currently influencing individual career advancement and ranking of academic and research institutions worldwide. This article overviews the involvement of scientific authors, reviewers, editors, publishers, indexers, and learned associations in the citing and referencing to preserve the integrity of science communication. Authors are responsible for thorough bibliographic searches to select relevant references for their articles, comprehend main points, and cite them in an ethical way. Reviewers and editors may perform additional searches and recommend missing essential references. Publishers, in turn, are in a position to instruct their authors over the citations and references, provide tools for validation of references, and open access to bibliographies. Publicly available reference lists bear important information about the novelty and relatedness of the scholarly items with the published literature. Few editorial associations have dealt with the issue of citations and properly managed references. As a prime example, the International Committee of Medical Journal Editors (ICMJE) issued in December 2014 an updated set of recommendations on the need for citing primary literature and avoiding unethical references, which are applicable to the global scientific community. With the exponential growth of literature and related references, it is critically important to define functions of all stakeholders of science communication in curbing the issue of irrational and unethical citations and thereby improve the quality and indexability of scholarly journals.