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Nobel laureates are not hot

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  • Marek Kosmulski

    (Lublin University of Technology)

Abstract

The achievements of all 97 Nobel laureates in Chemistry, Economy, Medicine, and Physics of the period 2010–2019 are compared with achievements of top non-Nobel scientists in terms of standard bibliometric indicators (number of publications, number of citations, Hirsch index), of the numbers of highly cited papers and of hot papers (as defined by WoS®), and of c, a composite score (Ioannidis et al. in PLoS Biol 14:e1002501, 2016). Ninety recent Nobel laureates were in top 100,000 scientists in terms of c, and 45 recent Nobel laureates were in top 6000 scientists in terms of c. Only 32 recent Nobel laureates were in top 6000 scientists in terms of ch (Hirsch-type index with self-citations excluded), 32 recent Nobel laureates were in top 6000 scientists in terms of the number of citations (self-citations excluded), 17 recent Nobel laureates were among the 6000 Highly Cited Researchers (WoS®), 4 recent Nobel laureates were in top 6000 scientists in terms of the number of hot papers, and 2 recent Nobel laureates were in top 6000 scientists in terms of the number of highly cited papers.

Suggested Citation

  • Marek Kosmulski, 2020. "Nobel laureates are not hot," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 487-495, April.
    • Handle: RePEc:spr:scient:v:123:y:2020:i:1:d:10.1007_s11192-020-03378-9
    DOI: 10.1007/s11192-020-03378-9
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    References listed on IDEAS

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    1. Sangwal, Keshra, 2015. "On the growth dynamics of citations of articles by some Nobel Prize winners," Journal of Informetrics, Elsevier, vol. 9(3), pages 466-476.
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    6. Schreiber, M. & Malesios, C.C. & Psarakis, S., 2012. "Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 347-358.
    7. Marek Kosmulski, 2018. "Are you in top 1% (1‰)?," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 557-565, February.
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    Cited by:

    1. Julián D. Cortés & Daniel A. Andrade, 2022. "Winners and runners-up alike?—a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    2. Iván Aranzales & Ho Fai Chan & Benno Torgler, 2023. "Finally! How time lapse in Nobel Prize reception affects emotionality in the Nobel Prize banquet speeches," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4089-4115, July.
    3. Jianhua Hou & Bili Zheng & Yang Zhang & Chaomei Chen, 2021. "How do Price medalists’ scholarly impact change before and after their awards?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5945-5981, July.
    4. Tol, Richard S.J., 2023. "Nobel begets Nobel in economics," Journal of Informetrics, Elsevier, vol. 17(4).
    5. Gordana Budimir & Sophia Rahimeh & Sameh Tamimi & Primož Južnič, 2021. "Comparison of self-citation patterns in WoS and Scopus databases based on national scientific production in Slovenia (1996–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2249-2267, March.
    6. Lauranne Chaignon & Domingo Docampo & Daniel Egret, 2023. "In search of a scientific elite: highly cited researchers (HCR) in France," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5801-5827, October.
    7. Jingda Ding & Yifan Chen & Chao Liu, 2023. "Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5247-5275, September.

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