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Measuring Influence in Science: Standing on the Shoulders of Which Giants?

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Abstract

I study the measurement of the influence of scientists based on bibliographic data. I propose a new measure that accounts for indirect influence and allows to compare scientists across different fields of science. By contrast, common measures of influence that “count citations”, such as the h-index, are unable to satisfy either of these two properties. I use the axiomatic method in two opposite ways: to highlight the two limitations of citation- counting schemes and their independence, and to carefully justify the assumptions made in the construction of the proposed measure.

Suggested Citation

  • Antonin Macé, 2017. "Measuring Influence in Science: Standing on the Shoulders of Which Giants?," AMSE Working Papers 1743, Aix-Marseille School of Economics, France.
    • Handle: RePEc:aim:wpaimx:1743
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    File URL: https://www.amse-aixmarseille.fr/sites/default/files/_dt/2012/wp_2017_-_nr_43.pdf
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    Cited by:

    1. Antonin Mac'e, 2017. "The Limits of Citation Counts," Papers 1711.02695, arXiv.org, revised Sep 2023.

    More about this item

    Keywords

    intellectual influence; networks; comparability across fields; axiomatic method;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines

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