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Identifying excellent researchers: A new approach

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  • Tol, Richard S.J.

Abstract

Quantile kernel regression is a flexible way to estimate the percentile of a scholar's quality stratified by a measurable characteristic, without imposing inappropriate assumption about functional form or population distribution. Quantile kernel regression is here applied to identifying the one-in-a-hundred economist per age cohort according to the Hirsch index.

Suggested Citation

  • Tol, Richard S.J., 2013. "Identifying excellent researchers: A new approach," Journal of Informetrics, Elsevier, vol. 7(4), pages 803-810.
    • Handle: RePEc:eee:infome:v:7:y:2013:i:4:p:803-810
    DOI: 10.1016/j.joi.2013.06.003
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    References listed on IDEAS

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    Cited by:

    1. Rossi, Luciano & Freire, Igor L. & Mena-Chalco, Jesús P., 2017. "Genealogical index: A metric to analyze advisor–advisee relationships," Journal of Informetrics, Elsevier, vol. 11(2), pages 564-582.
    2. Farideh Osare & Mariam Keshvari, 2024. "Evaluation of a Scientific Productivity Model among World Highly Cited Authors: a Study Based on Experts’ Opinions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14452-14485, September.

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    More about this item

    Keywords

    Quantile kernel regression; Hirsch index; Economics;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists

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