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Lotka's law reconsidered: The evolution of publication and citation distributions in scientific fields

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  • Nicole J. Saam

    (Universität München)

  • L. Reiter

    (Universität Wien)

Abstract

This paper reports early steps in research that seeks to clarify how publications of scientists interact dynamically with citations and reputation in shaping the evolution of scientific fields. We assume that Lotka's modified law holds for scientific fields. A primary approach to model publication productivity was published by Yablonsky. In contrast to Yablonsky's unfinished mathematical approach, our simulation approach is not predominantly driven by insight into the formal generation mechanisms of certain processes but more theory driven. It considers the evolution of publication and citation distributions over the histories of scientific fields using both simulated and real historical data.

Suggested Citation

  • Nicole J. Saam & L. Reiter, 1999. "Lotka's law reconsidered: The evolution of publication and citation distributions in scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(2), pages 135-155, February.
    • Handle: RePEc:spr:scient:v:44:y:1999:i:2:d:10.1007_bf02457376
    DOI: 10.1007/BF02457376
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    Cited by:

    1. Rok Blagus & Brane L. Leskošek & Janez Stare, 2015. "Comparison of bibliometric measures for assessing relative importance of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1743-1762, December.
    2. Marcel Clermont & Johanna Krolak & Dirk Tunger, 2021. "Does the citation period have any effect on the informative value of selected citation indicators in research evaluations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1019-1047, February.
    3. Matthias Meyer, 2011. "Bibliometrics, Stylized Facts and the Way Ahead: How to Build Good Social Simulation Models of Science?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-4.
    4. Boris Forthmann & Mark Leveling & Yixiao Dong & Denis Dumas, 2020. "Investigating the quantity–quality relationship in scientific creativity: an empirical examination of expected residual variance and the tilted funnel hypothesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2497-2518, September.
    5. Francisco Grimaldo & Mario Paolucci & Jordi Sabater-Mir, 2018. "Reputation or peer review? The role of outliers," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1421-1438, September.
    6. Christian Schneijderberg & Nicolai Götze & Lars Müller, 2022. "A study of 25 years of publication outputs in the German academic profession," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 1-28, January.

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