The application of citation-based performance classes to the disciplinary and multidisciplinary assessment in national comparison and institutional research assessment

Wolfgang Glänzel, Bart Thijs, Koenraad Debackere

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

The analysis of the high end of citation distributions represented by its tail provides important supplementary information on the citation profile of the unit under study. In a previous study by Glänzel (Scientometrics 97:13–23, 2013a), a parameter-free solution providing four performance classes has been proposed. Unlike in methods based on pre-set percentiles, this method is not sensitive to ties and ensures needless integration of measures of outstanding and even extreme performance into the standard tools of scientometric performance assessment. The applicability of the proposed method is demonstrated for both subject analysis and the combination of different subjects at the macro and meso level.

Original languageEnglish
Pages (from-to)939-952
Number of pages14
JournalScientometrics
Volume101
Issue number2
DOIs
Publication statusPublished - Oct 9 2014

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Keywords

  • Characteristic scores and scales
  • Citation distributions
  • Comparison
  • Crossnational
  • Institutional assessment
  • Performance classes

ASJC Scopus subject areas

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

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