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Axiomatic measures of intellectual influence

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  • Palacios-Huerta, Ignacio
  • Volij, Oscar

Abstract

Measuring influence allows the study of such issues as the impact and reputation of scientists and scientific publications, the dynamics of innovation, and the construction of ranking algorithms for search engines in the world wide web. Ranking methods that measure influence are typically based on the information contained in the network of communications between different entities (scholarly publications, patents, web pages). This paper presents within the same framework recent developments that use the axiomatic approach to derive ranking methods. Two related but essentially different ranking problems are studied: journal ranking problems and scholar ranking problems. The paper concludes with open theoretical and empirical questions for future research.

Suggested Citation

  • Palacios-Huerta, Ignacio & Volij, Oscar, 2014. "Axiomatic measures of intellectual influence," International Journal of Industrial Organization, Elsevier, vol. 34(C), pages 85-90.
    • Handle: RePEc:eee:indorg:v:34:y:2014:i:c:p:85-90
    DOI: 10.1016/j.ijindorg.2014.02.011
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    References listed on IDEAS

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    1. ,, 2014. "A ranking method based on handicaps," Theoretical Economics, Econometric Society, vol. 9(3), September.
    2. Ignacio Palacios-Huerta & Oscar Volij, 2004. "The Measurement of Intellectual Influence," Econometrica, Econometric Society, vol. 72(3), pages 963-977, May.
    3. Glenn Ellison, 2013. "How Does the Market Use Citation Data? The Hirsch Index in Economics," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 63-90, July.
    4. Woeginger, Gerhard J., 2008. "An axiomatic characterization of the Hirsch-index," Mathematical Social Sciences, Elsevier, vol. 56(2), pages 224-232, September.
    5. Chambers, Christopher P. & Miller, Alan D., 2014. "Scholarly influence," Journal of Economic Theory, Elsevier, vol. 151(C), pages 571-583.
    6. Stigler, George J & Stigler, Stephen M & Friedland, Claire, 1995. "The Journals of Economics," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 331-359, April.
    7. Thierry Marchant, 2009. "An axiomatic characterization of the ranking based on the h-index and some other bibliometric rankings of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 325-342, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Azar, Ofer H., 2019. "The influence of psychological game theory," Journal of Economic Behavior & Organization, Elsevier, vol. 167(C), pages 445-453.
    2. J. Atsu Amegashie, 2020. "Citations And Incentives In Academic Contests," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1233-1244, July.
    3. Sylvain Béal & Sylvain Ferrières & Eric Rémila & Phillippe Solal, 2016. "An axiomatization of the iterated h-index and applications to sport rankings," Working Papers 2016-11, CRESE.
    4. Mikko Packalen & Jay Bhattacharya, 2017. "Neophilia ranking of scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 43-64, January.
    5. Karol Flores-Szwagrzak & Rafael Treibich, 2020. "Teamwork and Individual Productivity," Management Science, INFORMS, vol. 66(6), pages 2523-2544, June.
    6. Johannes König & David I. Stern & Richard S.J. Tol, 2022. "Confidence Intervals for Recursive Journal Impact Factors," Tinbergen Institute Discussion Papers 22-038/III, Tinbergen Institute.
    7. Ham, John C. & Wright, Julian & Ye, Ziqiu, 2023. "Documenting and Explaining the Dramatic Rise of the New Society Journals in Economics," IZA Discussion Papers 16337, Institute of Labor Economics (IZA).
    8. Haley, M. Ryan & McGee, M. Kevin, 2020. "Jointly valuing journal visibility and author citation count: An axiomatic approach," Journal of Informetrics, Elsevier, vol. 14(1).
    9. L'aszl'o Csat'o, 2019. "Journal ranking should depend on the level of aggregation," Papers 1904.06300, arXiv.org, revised Sep 2019.
    10. Flores-Szwagrzak, Karol & Treibich, Rafael, 2015. "Co-authorship and the Measurement of Individual Productivity," Discussion Papers on Economics 17/2015, University of Southern Denmark, Department of Economics.
    11. Csató, László, 2019. "Journal ranking should depend on the level of aggregation," Journal of Informetrics, Elsevier, vol. 13(4).
    12. Lasso de la Vega, Casilda & Volij, Oscar, 2018. "Ranking scholars: A measure representation," Journal of Informetrics, Elsevier, vol. 12(2), pages 510-517.

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    More about this item

    Keywords

    Intellectual influence; Rankings; Axiomatic approach;
    All these keywords.

    JEL classification:

    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other

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