High-end performance or outlier? Evaluating the tail of scientometric distributions

Research output: Contribution to journalArticle

15 Citations (Scopus)


The present paper attempts to shed light on outstanding research performance using the example of citation distributions. In order to answer the question of how the analysis of outstanding performance, in general, and highly cited papers, in particular, could be integrated into standard techniques of evaluative scientometrics. Two general methods are proposed: One solution aims at quantifying the performance represented by the tail of citation distributions independently of the "mainstream", the second one, a parameter-free solution, provides performance classes for any level. Advantages and shortcoming of both methods are discussed.

Original languageEnglish
Pages (from-to)13-23
Number of pages11
Issue number1
Publication statusPublished - Oct 2013


  • Characteristic scores and scales
  • Extreme values
  • QQ plot
  • Scientometric distributions

ASJC Scopus subject areas

  • Social Sciences(all)
  • Computer Science Applications
  • Library and Information Sciences

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