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The Matthew effect defined and tested for the 100 most prolific economists

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  • Richard S.J. Tol

Abstract

The Matthew effect has that recognition is bestowed on researchers of already high repute. If recognition is measured by citations, this means that often‐cited papers or authors are cited more often. I use the statistical theory of the growth of firms to test whether the fame of papers and authors indeed exhibits increasing returns to scale, and confirm this hypothesis for the 100 most prolific economists.

Suggested Citation

  • Richard S.J. Tol, 2009. "The Matthew effect defined and tested for the 100 most prolific economists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 420-426, February.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:2:p:420-426
    DOI: 10.1002/asi.20968
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    Citations

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    Cited by:

    1. Daniel Birkmaier & Klaus Wohlrabe, 2014. "Der Matthäus-Effekt in der Ökonomie," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(17), pages 38-42, September.
    2. Molly E Contini & Jeffrey R Spence, 2023. "And the award goes to…the Matthew Effect: Examining external status as a predictor of productivity and opportunity," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-25, October.
    3. Wolfram Elsner, 2013. "State and future of the ‘citadel’ and of the heterodoxies in economics: challenges and dangers, convergences and cooperation," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 10(3), pages 286—298-2, December.
    4. Tie, Ying & Wang, Zheng, 2022. "Publish or perish? A tale of academic publications in Chinese universities," China Economic Review, Elsevier, vol. 73(C).
    5. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Empirical demonstration of the Matthew effect in scientific research careers," Journal of Informetrics, Elsevier, vol. 17(4).
    6. Lawson, Nicholas, 2023. "What citation tests really tell us about bias in academic publishing," European Economic Review, Elsevier, vol. 158(C).
    7. Petr Praus, 2024. "Analysis of journal rankings confirms that more cited articles contain more references," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 7153-7160, November.
    8. Birkmaier, Daniel & Wohlrabe, Klaus, 2014. "The Matthew effect in economics reconsidered," Journal of Informetrics, Elsevier, vol. 8(4), pages 880-889.
    9. Jacek Bogocz & Andrzej Bak & Jaroslaw Polanski, 2014. "No free lunches in nature? An analysis of the regional distribution of the affiliations of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 547-568, October.
    10. Manuel Acosta & Daniel Coronado & Esther Ferrándiz & M. Dolores León & Pedro J. Moreno, 2017. "The geography of university scientific production in Europe: an exploration in the field of Food Science and Technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 215-240, July.
    11. Tol, Richard S.J., 2013. "The Matthew effect for cohorts of economists," Journal of Informetrics, Elsevier, vol. 7(2), pages 522-527.
    12. Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
    13. Leila Tahmooresnejad & Catherine Beaudry & Andrea Schiffauerova, 2015. "The role of public funding in nanotechnology scientific production: Where Canada stands in comparison to the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 753-787, January.
    14. Wolfram Elsner & Frederic S. Lee, 2010. "Editors' Introduction," American Journal of Economics and Sociology, Wiley Blackwell, vol. 69(5), pages 1333-1344, November.
    15. Pritchard, Annette & Morgan, Nigel, 2017. "Tourism’s lost leaders: Analysing gender and performance," Annals of Tourism Research, Elsevier, vol. 63(C), pages 34-47.
    16. Migheli, Matteo & Zotti, Roberto, 2020. "The strange case of the Matthew effect and beauty contests: Research evaluation and specialisation in Italian universities," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    17. Leo Egghe & Raf Guns & Ronald Rousseau, 2013. "Measuring co-authors’ contribution to an article’s visibility," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 55-67, April.
    18. Brooks, Chris & Schopohl, Lisa, 2018. "Topics and trends in finance research: What is published, who publishes it and what gets cited?," The British Accounting Review, Elsevier, vol. 50(6), pages 615-637.
    19. Dritan Osmani, "undated". "A note on optimal transfer schemes, stable coalition for environmental protection and joint maximization assumption," Working Papers FNU-176, Research unit Sustainability and Global Change, Hamburg University.
    20. Wang, Jian, 2014. "Unpacking the Matthew effect in citations," Journal of Informetrics, Elsevier, vol. 8(2), pages 329-339.
    21. Mishra, SK, 2010. "Empirical probability distribution of journal impact factor and over-the-samples stability in its estimated parameters," MPRA Paper 20919, University Library of Munich, Germany.

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    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General

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