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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. 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.
    2. Demange, Gabrielle, 2014. "A ranking method based on handicaps," Theoretical Economics, Econometric Society, vol. 9(3), September.
    3. Chambers, Christopher P. & Miller, Alan D., 2014. "Scholarly influence," Journal of Economic Theory, Elsevier, vol. 151(C), pages 571-583.
    4. Ignacio Palacios-Huerta & Oscar Volij, 2004. "The Measurement of Intellectual Influence," Econometrica, Econometric Society, vol. 72(3), pages 963-977, May.
    5. 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.
    6. Woeginger, Gerhard J., 2008. "An axiomatic characterization of the Hirsch-index," Mathematical Social Sciences, Elsevier, vol. 56(2), pages 224-232, September.
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    Citations

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    Cited by:

    1. Mikko Packalen & Jay Bhattacharya, 2015. "Neophilia Ranking of Scientific Journals," NBER Working Papers 21579, National Bureau of Economic Research, Inc.
    2. Flores-Szwagrzak, Karol & Treibich, Rafael, 2015. "Co-authorship and the Measurement of Individual Productivity," Discussion Papers of Business and Economics 17/2015, University of Southern Denmark, Department of Business and Economics.
    3. Mikko Packalen & Jay Bhattacharya, 2017. "Neophilia ranking of scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 43-64, January.
    4. Sylvain Béal & Sylvain Ferrières & Eric Rémila & Philippe Solal, 2016. "An axiomatization of the iterated h-index and applications to sport rankings," Working Papers hal-01394818, HAL.

    More about this item

    Keywords

    Intellectual influence; Rankings; Axiomatic approach;

    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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