Identifying excellent researchers: A new approach

Research output: Contribution to JournalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)803-810
Number of pages8
JournalJournal of Informetrics
Volume7
Issue number4
DOIs
Publication statusPublished - 2013

Fingerprint

Population distribution
Kernel Regression
Quantile Regression
Hirsch Index
regression
Percentile
economist
Estimate
Kernel regression
Quantile
Form
Economists
Cohort
Functional form

Keywords

  • A11
  • Economics
  • Hirsch index
  • Quantile kernel regression

Cite this

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Identifying excellent researchers : A new approach. / Tol, Richard S J.

In: Journal of Informetrics, Vol. 7, No. 4, 2013, p. 803-810.

Research output: Contribution to JournalArticleAcademicpeer-review

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