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Prevalence of potentially predatory publishing in Scopus on the country level

Author

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  • Tatiana Marina

    (National Research University Higher School of Economics
    Russian Foundation for Basic Research)

  • Ivan Sterligov

    (National Research University Higher School of Economics)

Abstract

We present results of a large-scale study of potentially predatory journals (PPJ) represented in the Scopus database, which is widely used for research evaluation. Both journal metrics and country/disciplinary data have been evaluated for different groups of PPJ: those listed by Jeffrey Beall and those discontinued by Scopus because of “publication concerns”. Our results show that even after years of discontinuing, hundreds of active potentially predatory journals are still highly visible in the Scopus database. PPJ papers are continuously produced by all major countries, but with different prevalence. Most all science journal classification subject areas are affected. The largest number of PPJ papers are in engineering and medicine. On average, PPJ have much lower citation metrics than other Scopus-indexed journals. We conclude with a survey of the case of Russia and Kazakhstan where the share of PPJ papers in 2016 amounted to almost a half of all Kazakhstan papers in Scopus. Our data suggest a relation between PPJ prevalence and national research evaluation policies. As such policies become more widespread, the expansion of potentially predatory journal research will be increasingly important.

Suggested Citation

  • Tatiana Marina & Ivan Sterligov, 2021. "Prevalence of potentially predatory publishing in Scopus on the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5019-5077, June.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:6:d:10.1007_s11192-021-03899-x
    DOI: 10.1007/s11192-021-03899-x
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    References listed on IDEAS

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    1. Bagues, Manuel & Sylos-Labini, Mauro & Zinovyeva, Natalia, 2019. "A walk on the wild side: ‘Predatory’ journals and information asymmetries in scientific evaluations," Research Policy, Elsevier, vol. 48(2), pages 462-477.
    2. Henk F. Moed & Valentina Markusova & Mark Akoev, 2018. "Trends in Russian research output indexed in Scopus and Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1153-1180, August.
    3. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    4. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    5. Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2012. "A further step forward in measuring journals’ scientific prestige: The SJR2 indicator," Journal of Informetrics, Elsevier, vol. 6(4), pages 674-688.
    6. Moed, Henk F. & Bar-Ilan, Judit & Halevi, Gali, 2016. "A new methodology for comparing Google Scholar and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 533-551.
    7. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    8. Sarah de Rijcke & Paul F. Wouters & Alex D. Rushforth & Thomas P. Franssen & Björn Hammarfelt, 2016. "Evaluation practices and effects of indicator use—a literature review," Research Evaluation, Oxford University Press, vol. 25(2), pages 161-169.
    9. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S., 2013. "Some modifications to the SNIP journal impact indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 272-285.
    10. Peter Weingart, 2005. "Impact of bibliometrics upon the science system: Inadvertent consequences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 62(1), pages 117-131, January.
    11. Loet Leydesdorff & Paul Wouters & Lutz Bornmann, 2016. "Professional and citizen bibliometrics: complementarities and ambivalences in the development and use of indicators—a state-of-the-art report," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2129-2150, December.
    12. Mollie Bloudoff-Indelicato, 2015. "Backlash after Frontiers journals added to list of questionable publishers," Nature, Nature, vol. 526(7575), pages 613-613, October.
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    Cited by:

    1. Balatskiy, E. & Yurevich, M., 2021. "Russian economic science on the international market of "predatory" publications," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 190-198.
    2. Aleskerov, F. & Kazachinskaya, A. & Karabekyan, D. & Semina, A. & Yakuba, V., 2021. "Economic journals of Russia, their characteristics and network analysis," Journal of the New Economic Association, New Economic Association, vol. 50(2), pages 170-182.
    3. Denis Kosyakov & Andrey Guskov, 2022. "Reasons and consequences of changes in Russian research assessment policies," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4609-4630, August.
    4. Vivek Kumar Singh & Satya Swarup Srichandan & Hiran H. Lathabai, 2022. "ResearchGate and Google Scholar: how much do they differ in publications, citations and different metrics and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1515-1542, March.

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