Identifying excellent researchers: A new approach

Richard S J Tol*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


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.

Original languageEnglish
Pages (from-to)803-810
Number of pages8
JournalJournal of Informetrics
Issue number4
Publication statusPublished - 2013


  • A11
  • Economics
  • Hirsch index
  • Quantile kernel regression


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