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The Annus Mirabilis paper: years of peak productivity in scientific careers

Author

Listed:
  • Gad Yair

    (The Hebrew University of Jerusalem)

  • Keith Goldstein

    (The Hebrew University of Jerusalem)

Abstract

This paper defines the ‘miraculous year’ as the most productive year in academics’ scientific careers. It tests the hypothesis that annual productivity is unevenly distributed with a Lotka-like distribution at both individual and group levels. To gain generalizability, we model distributions of annual publication productivity in three independent mini studies. The studies include Israeli star scientists, highly cited physicists, and economists in an elite American university. The findings show that most scientists enjoy a peak annus mirabilis with a minority having a few such peaks. Academic age at which the annus mirabilis takes place gravitates towards the center of a career, especially amongst older scientists. The results support the hypothesis that scientific careers are punctuated by exceptionally productive years. We discuss how administrative constraints may affect levels of productivity. The paper opens up a new empirical domain for further empirical tests of career productivity and calls for policy discussions around the implications of the idea of the annus mirabilis.

Suggested Citation

  • Gad Yair & Keith Goldstein, 2020. "The Annus Mirabilis paper: years of peak productivity in scientific careers," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 887-902, August.
  • Handle: RePEc:spr:scient:v:124:y:2020:i:2:d:10.1007_s11192-020-03544-z
    DOI: 10.1007/s11192-020-03544-z
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    References listed on IDEAS

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    1. Benjamin F. Jones, 2010. "Age and Great Invention," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 1-14, February.
    2. Joshua Angrist & Pierre Azoulay & Glenn Ellison & Ryan Hill & Susan Feng Lu, 2017. "Economic Research Evolves: Fields and Styles," American Economic Review, American Economic Association, vol. 107(5), pages 293-297, May.
    3. Monica Gaughan & Branco Ponomariov, 2008. "Faculty publication productivity, collaboration, and grants velocity: using curricula vitae to compare center-affiliated and unaffiliated scientists," Research Evaluation, Oxford University Press, vol. 17(2), pages 103-110, June.
    4. Beaudry, Catherine & Allaoui, Sedki, 2012. "Impact of public and private research funding on scientific production: The case of nanotechnology," Research Policy, Elsevier, vol. 41(9), pages 1589-1606.
    5. Carayol, Nicolas & Matt, Mireille, 2006. "Individual and collective determinants of academic scientists' productivity," Information Economics and Policy, Elsevier, vol. 18(1), pages 55-72, March.
    6. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    7. Gad Yair & Nofar Gueta & Nitza Davidovitch, 2017. "The law of limited excellence: publication productivity of Israel Prize laureates in the life and exact sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 299-311, October.
    8. Defazio, Daniela & Lockett, Andy & Wright, Mike, 2009. "Funding incentives, collaborative dynamics and scientific productivity: Evidence from the EU framework program," Research Policy, Elsevier, vol. 38(2), pages 293-305, March.
    9. repec:nas:journl:v:115:y:2018:p:4887-4890 is not listed on IDEAS
    10. Andrea Bonaccorsi & Luca Secondi, 2017. "The determinants of research performance in European universities: a large scale multilevel analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1147-1178, September.
    11. Abramo, Giovanni & D’Angelo, Andrea Ciriaco & Murgia, Gianluca, 2017. "The relationship among research productivity, research collaboration, and their determinants," Journal of Informetrics, Elsevier, vol. 11(4), pages 1016-1030.
    12. J. Corey Miller & Keith H. Coble & Jayson L. Lusk, 2013. "Evaluating top faculty researchers and the incentives that motivate them," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 519-533, December.
    13. Marek Kwiek, 2018. "High research productivity in vertically undifferentiated higher education systems: Who are the top performers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 415-462, April.
    14. Fan Jiang & Niancai Liu, 2018. "The hierarchical status of international academic awards in social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2091-2115, December.
    15. Juntao Zheng & Niancai Liu, 2015. "Mapping of important international academic awards," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 763-791, September.
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