Predatory journals
a thematic analysis based on keywords indexed in Web of Science
DOI:
https://doi.org/10.5380/atoz.v14.93202Keywords:
Bibliometrics, Predatory journals, Predatory publishing, KeywordsAbstract
Introduction: This research aims to analyze the relationship between topics related to predatory publications, as represented by the words in articles indexed in the Web of Science database. Method: To examine keyword relationships in articles about predatory publications, we conducted a Web of Science database search using the strategy “predatory journal*” OR “predatory publishing” OR “predatory publisher*”. Initially, 858 documents were collected, which we narrowed down to 436 articles through article-based filtering. Among these, 371 articles were selected due to the inclusion of author-provided keywords. VOSviewer software extracted 973 distinct keywords. We focused on keywords present in at least two articles, resulting in 210 keywords meeting this criterion. We then created a network showing keyword co-occurrence and calculated descriptive statistics for its topological metrics. Results: These findings imply a rich diversity of themes and approaches within the realm of studies related to predatory publications and journals. Furthermore, the low-density keyword co-occurrence network highlights that these themes lack significant interconnectedness, potentially underscoring the intricate nature of this field. The relationships highlighted by the most frequent keywords indicate a strong focus of research on predatory practices related to issues represented by the terms “predatory journal”, “predatory publishing”, “open access”, “peer review”, and “Beall’s List”. Conclusion: The themes represented by the keywords point to a potential core thematic area essential for addressing predatory journals and publications. These keywords align with fundamental aspects within the discussion of predatory practices.
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