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Leaders among the leaders in Economics: a network analysis of the Nobel Prize laureates

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  • José Alberto Molina
  • David Iñiguez
  • Gonzalo Ruiz
  • Alfonso Tarancón

Abstract

We analyse the production and networks of Nobel laureates in Economics, employing the Normalized Impact Factor (NIF) of their publications in the Journal of Citation Report (Economics), to identify the academic leaders among those laureates awarded between 1969 and 2016. Our results indicate that direct collaborations among laureates are, in general, rare, but when we add all the co-authors of the laureates, there appears a very large component containing 70% of the nodes, so that more than two thirds of the laureates can be connected through only two steps. Deaton, Tirole, Arrow, and Stiglitz are identified as leaders according to the total production of their respective networks.

Suggested Citation

  • José Alberto Molina & David Iñiguez & Gonzalo Ruiz & Alfonso Tarancón, 2021. "Leaders among the leaders in Economics: a network analysis of the Nobel Prize laureates," Applied Economics Letters, Taylor & Francis Journals, vol. 28(7), pages 584-589, April.
    • Handle: RePEc:taf:apeclt:v:28:y:2021:i:7:p:584-589
    DOI: 10.1080/13504851.2020.1764478
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    Cited by:

    1. José Alberto Molina & David Iñiguez & Gonzalo Ruiz & Alfonso Tarancón, 2025. "Networks in Household and Population Socifal Sciences: Encouraging the Need for More Collaborations," Journal of Family and Economic Issues, Springer, vol. 46(4), pages 1041-1053, December.
    2. Chih-Hsing Liu & Jun-You Lin, 2024. "Collaboration-based scientific productivity: evidence from Nobel laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3735-3768, July.
    3. Tol, Richard S.J., 2023. "Nobel begets Nobel in economics," Journal of Informetrics, Elsevier, vol. 17(4).
    4. Xie, Xin & Mao, Jin & Li, Jiang, 2025. "How does Nobel prize awarding shift the research topics of Nobelists’ coauthors and non-coauthors?," Journal of Informetrics, Elsevier, vol. 19(1).
    5. Gutierrez-Lythgoe, Antonio, 2023. "Redes y autoempleo: Evidencia con datos de Facebook [Networks and self-employment: Evidence from Facebook data]," MPRA Paper 116656, University Library of Munich, Germany.
    6. 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.
    7. Richard S. J. Tol, 2024. "The Nobel family," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1329-1346, March.

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