Research Article
An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index
Article first published online: 14 MAY 2008
DOI: 10.1002/asi.20856
© 2008 ASIS&T
Issue

Journal of the American Society for Information Science and Technology
Volume 59, Issue 9, pages 1513–1522, July 2008
Additional Information
How to Cite
Schreiber, M. (2008), An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index. J. Am. Soc. Inf. Sci., 59: 1513–1522. doi: 10.1002/asi.20856
Publication History
- Issue published online: 9 JUN 2008
- Article first published online: 14 MAY 2008
- Manuscript Accepted: 8 FEB 2008
- Manuscript Revised: 1 FEB 2008
- Manuscript Received: 18 DEC 2007
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Abstract
J.E. Hirsch (2005) introduced the h-index to quantify an individual's scientific research output by the largest number h of a scientist's papers that received at least h citations. To take into account the highly skewed frequency distribution of citations, L. Egghe (2006a) proposed the g-index as an improvement of the h-index. I have worked out 26 practical cases of physicists from the Institute of Physics at Chemnitz University of Technology, and compare the h and g values in this study. It is demonstrated that the g-index discriminates better between different citation patterns. This also can be achieved by evaluating B.H. Jin's (2006) A-index, which reflects the average number of citations in the h-core, and interpreting it in conjunction with the h-index. h and A can be combined into the R-index to measure the h-core's citation intensity. I also have determined the A and R values for the 26 datasets. For a better comparison, I utilize interpolated indices. The correlations between the various indices as well as with the total number of papers and the highest citation counts are discussed. The largest Pearson correlation coefficient is found between g and R. Although the correlation between g and h is relatively strong, the arrangement of the datasets is significantly different depending on whether they are put into order according to the values of either h or g.

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