Abstract
PurposeHow to obtain a list of the 100 largest scientific publishers sorted by journal count? Existing databases are unhelpful as each of them inhere biased omissions and data quality flaws. This paper tries to fill this gap with an alternative approach.Design/methodology/approachThe content coverages of Scopus, Publons, DOAJ and SherpaRomeo were first used to extract a preliminary list of publishers that supposedly possess at least 15 journals. Second, the publishers' websites were scraped to fetch their portfolios and, thus, their “true” journal counts.FindingsThe outcome is a list of the 100 largest publishers comprising 28.060 scholarly journals, with the largest publishing 3.763 journals, and the smallest carrying 76 titles. The usual “oligopoly” of major publishing companies leads the list, but it also contains 17 university presses from the Global South, and, surprisingly, 30 predatory publishers that together publish 4.517 journals.Research limitations/implicationsAdditional data sources could be used to mitigate remaining biases; it is difficult to disambiguate publisher names and their imprints; and the dataset carries a non-uniform distribution, thus risking the omission of data points in the lower range.Practical implicationsThe dataset can serve as a useful basis for comprehensive meta-scientific surveys on the publisher-level.Originality/valueThe catalogue can be deemed more inclusive and diverse than other ones because many of the publishers would have been overlooked if one had drawn from merely one or two sources. The list is freely accessible and invites regular updates. The approach used here (webscraping) has seldomly been used in meta-scientific surveys.
Subject
Library and Information Sciences,Information Systems
Reference49 articles.
1. “All publishers” (n.d.), “Publons”, available at: https://publons.com/publisher/?page=1 (accessed 4 January 2021).
2. Statistical methods for thematic-accuracy quality control based on an accurate reference sample;Remote Sensing,2020
3. Alexiou, G., Vahdati, S., Lange, C., Papastefanatos, G. and Lohmann, S. (2016), “OpenAIRE LOD services: scholarly communication data as linked data”, in González-Beltrán, A., Osborne, F. and Peroni, S. (Eds), Semantics, Analytics, Visualization. Enhancing Scholarly Data, Springer International Publishing, Cham, pp. 45-50.
4. Market power of publishers in setting article processing charges for open access journals;Scientometrics,2020
5. “Beall’s List of Potential Predatory Journals and Publishers” (2021), 8 December, available at: https://web.archive.org/web/20220727081817/https://beallslist.net/ (accessed 29 July 2022).
Cited by
27 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献