Author:

Keywords:

Science & Technology, Technology, Information Science & Library Science, CHARACTERISTIC SCORES, SCALES

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 (2012), 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 this method is demonstrated for both subject analysis at the large scale and the combination of different subjects.