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Are you in top 1% (1‰)?

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  • Marek Kosmulski

    (Lublin University of Technology)

Abstract

A new simple bibliometric indicator is based on the number of highly cited papers (as defined by WoS®). It can be used to assess individuals, journals and universities. Unlike most other citation-based-indicators it equalizes the chances of young scientists (vs. their more experienced colleagues) and of scientists working in less-popular disciplines. The ranking of scientists based on the new indicator is not correlated with the rankings based upon the number of citations or on the Hirsch-index.

Suggested Citation

  • Marek Kosmulski, 2018. "Are you in top 1% (1‰)?," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 557-565, February.
    • Handle: RePEc:spr:scient:v:114:y:2018:i:2:d:10.1007_s11192-017-2526-4
    DOI: 10.1007/s11192-017-2526-4
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    References listed on IDEAS

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    1. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    2. Vladimir Pislyakov & Elena Shukshina, 2014. "Measuring excellence in Russia: Highly cited papers, leading institutions, patterns of national and international collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2321-2330, November.
    3. Nobuko Miyairi & Han-Wen Chang, 2012. "Bibliometric characteristics of highly cited papers from Taiwan, 2000–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 197-205, July.
    4. Domingo Docampo & Lawrence Cram, 2017. "Academic performance and institutional resources: a cross-country analysis of research universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 739-764, February.
    5. Kosmulski, Marek, 2011. "Successful papers: A new idea in evaluation of scientific output," Journal of Informetrics, Elsevier, vol. 5(3), pages 481-485.
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    Cited by:

    1. Nadia Simoes & Nuno Crespo, 2020. "A flexible approach for measuring author-level publishing performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 331-355, January.
    2. Marek Kosmulski, 2020. "Nobel laureates are not hot," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 487-495, April.
    3. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.

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