The application of citation-based performance classes to the disciplinary and multidisciplinary assessment in national comparison and institutional research assessment
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 Glnzel (Scientometrics 97:1323, 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.
performance classes comparison citation distributions characteristic scores and scales crossnational institutional assessment