Abstract: This paper is devoted to studying the interrelations between most widely used scientometric indicators (in particular, Hirsch’s h-, Egghe’s g- and Zhang’s e- indexes) for several more or less realistic citation-paper rank distributions. The analysis is provided for both continuous and discrete representations and is illustrated further on with examples for simultaneous time evolution (during a scientific career) of these indicators, computed by using real life scientometric data. The aim of the study is to illuminate specific properties of the indicators, the pros and cons of their use in various situations (citation-paper rank distributions) and (hopefully) to contribute for a fair and better scientific assessment.

Keywords: citation-paper rank distributions, scientometric indicators, h-index, g-index, e-index, approximate relations, data analysis

ACM Classification Keywords: H. Information Systems, H.2. Database Management, H.2.8. Database applications, subject: Scientific databases; I. Computing methodologies, I.6 Simulation and Modeling, I.6.4. Model Validation and Analysis

Link:

CITATION-PAPER RANK DISTRIBUTIONS AND ASSOCIATED SCIENTOMETRIC INDICATORS – A SURVEY

Vladimir Atanassov, Ekaterina Detcheva

http://www.foibg.com/ijima/vol02/ijima02-01-p05.pdf