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The i100-index, i1000-index and i10,000-index: expansion and fortification of the Google Scholar h-index for finer-scale citation descriptions and researcher classification

Author

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  • Jaime A. Teixeira da Silva

    (Independent researcher)

Abstract

The Hirsch or h-index continues to be one of the most popular author-based metrics, despite some of its flaws and limitations. In some cases, citations to some academics’ work are increasing at a phenomenal pace, and in some exceptional cases such as Highly Cited Researchers (HCRs), whether alive or deceased, citation counts to their work have reached tens or hundreds of thousands, with h-indexes in the hundreds. Although the h-index currently has one additional derivative index, the i10-index, which is a measure of the number of publications with 10 or more citations, the i10-index is clearly not a sufficient differentiating factor for academics with very high citation counts such as HCRs. In this letter, an expansion of this metric is proposed to include an i100-index, an i1000-index, and an i10,000-index, which indicate the number of publications with 100, 1000, or 10,000 or more citations, respectively. These three new, expanded and/or modified metrics that are based on the h-index may assist in more effectively differentiating the top echelon of HCRs or leaders in a specific field of study. The i100-, i1000-, and i10,000-indexes for 10 HCRs (Michel Foucault, Ronald C. Kessler, Graham Colditz, Sigmund Freud, JoAnn E. Manson, Shizuo Akira, Pierre Bourdieu, Robert Langer, Eric Lander, and Bert Vogelstein) were calculated. Limitations to these three new proposed h-index-based indexes are noted.

Suggested Citation

  • Jaime A. Teixeira da Silva, 2021. "The i100-index, i1000-index and i10,000-index: expansion and fortification of the Google Scholar h-index for finer-scale citation descriptions and researcher classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3667-3672, April.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:4:d:10.1007_s11192-020-03831-9
    DOI: 10.1007/s11192-020-03831-9
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    References listed on IDEAS

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    1. John P. A. Ioannidis & Richard Klavans & Kevin W. Boyack, 2018. "Thousands of scientists publish a paper every five days," Nature, Nature, vol. 561(7722), pages 167-169, September.
    2. Guangyuan Hu & Lei Wang & Rong Ni & Weishu Liu, 2020. "Which h-index? An exploration within the Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1225-1233, June.
    3. Jaime A. Teixeira da Silva, 2018. "The Google Scholar h-index: useful but burdensome metric," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 631-635, October.
    4. Judit Dobránszki & Jaime A. Teixeira da Silva, 2019. "Corrective factors for author- and journal-based metrics impacted by citations to accommodate for retractions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 387-398, October.
    5. Young-Ho Eom & Santo Fortunato, 2011. "Characterizing and Modeling Citation Dynamics," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-7, September.
    6. J. E. Hirsch, 2019. "hα: An index to quantify an individual’s scientific leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 673-686, February.
    7. Ulrich Schmoch, 2020. "Mean values of skewed distributions in the bibliometric assessment of research units," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 925-935, November.
    8. Adam Dinsmore & Liz Allen & Kevin Dolby, 2014. "Alternative Perspectives on Impact: The Potential of ALMs and Altmetrics to Inform Funders about Research Impact," PLOS Biology, Public Library of Science, vol. 12(11), pages 1-4, November.
    9. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    10. Lutz Bornmann & Loet Leydesdorff, 2018. "Count highly-cited papers instead of papers with h citations: use normalized citation counts and compare “like with like”!," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1119-1123, May.
    11. Jaime A. Teixeira da Silva & Judit Dobránszki, 2018. "Multiple versions of the h-index: cautionary use for formal academic purposes," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1107-1113, May.
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