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Grim tales about the impact factor and the h-index in the Web of Science and the Journal Citation Reports databases: reflections on Vanclay’s criticism

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  • Peter Jacso

    (University of Hawaii)

Abstract

This paper reflects on the most current and some of the recent contributions of JK Vanclay, focusing on his methods, findings, and criticism about the journal citations reports and the web of science databases, the journal impact factor and the h-index. It is argued and demonstrated that some of the recent papers of the author about scientometric issues, measures and sources show so much demagoguery, ignorance and arrogance, have so much prejudice and bias, so profound errors in using the databases, calculating metrics, and interpreting search results that the papers are very unlikely to be meant as a genuine contribution from an academic who is a graduate of—among others—Oxford University, professor and dean in a respected university, a well-published and well-cited author and a recipient of the Queen’s Award (all the above in forest science). The papers are much more likely to serve as props for a staged, mock-up scenario based on slipshod research in an experiment, to illustrate the deficiencies in the processes and in the assessment of scholarly publishing productivity and impact in order to present the idealized solution of Vanclay: using the h-index, portrayed as the Prince, mounted on the shoulder of the White Horse, Google Scholar.

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  • Peter Jacso, 2012. "Grim tales about the impact factor and the h-index in the Web of Science and the Journal Citation Reports databases: reflections on Vanclay’s criticism," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 325-354, August.
  • Handle: RePEc:spr:scient:v:92:y:2012:i:2:d:10.1007_s11192-012-0769-7
    DOI: 10.1007/s11192-012-0769-7
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    References listed on IDEAS

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    1. Alexandru T. Balaban, 2012. "Positive and negative aspects of citation indices and journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 241-247, August.
    2. Guang Yu & Liang Wang, 2007. "The self-cited rate of scientific journals and the manipulation of their impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 321-330, December.
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    7. Vanclay, Jerome K., 2008. "Ranking forestry journals using the h-index," Journal of Informetrics, Elsevier, vol. 2(4), pages 326-334.
    8. A. I. Pudovkin & Eugene Garfield, 2012. "Rank normalization of impact factors will resolve Vanclay’s dilemma with TRIF," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 409-412, August.
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    18. Jerome K. Vanclay, 2012. "Impact factor: outdated artefact or stepping-stone to journal certification?," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 211-238, August.
    19. Juan Miguel Campanario, 2011. "Empirical study of journal impact factors obtained using the classical two-year citation window versus a five-year citation window," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 189-204, April.
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    Cited by:

    1. Fiorenzo Franceschini & Domenico Maisano & Luca Mastrogiacomo, 2015. "Errors in DOI indexing by bibliometric databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2181-2186, March.
    2. Verónica Amarante & Martín Brun & Cecilia Rossel, 2020. "Poverty and inequality in Latin America’s research agenda: A bibliometric review," Development Policy Review, Overseas Development Institute, vol. 38(4), pages 465-482, July.
    3. Stuart Brody, 2013. "Impact factor: Imperfect but not yet replaceable," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 255-257, July.

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