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Schreiber, M.: Revisiting the g-index : the average number of citations in the g-core (2009)
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- Abstract
- The g-index is discussed in terms of the average number of citations of the publications in the g-core, showing that it combines features of the h-index and the A-index in one number. For a visualization, data of 8 famous physicists are presented and analyzed. In comparison with the h-index, the g-index increases between 67% and 144%, on average by a factor of 2.
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Schreiber, M.: Do we need the g-index? (2013)
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- Abstract
- Using a very small sample of 8 data sets it was recently shown by De Visscher (2011) that the g-index is very close to the square root of the total number of citations. It was argued that there is no bibliometrically meaningful difference. Using another somewhat larger empirical sample of 26 data sets I show that the difference may be larger and I argue in favor of the g-index.
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Schreiber, M.: Fractionalized counting of publications for the g-Index (2009)
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- Abstract
- L. Egghe ([2008]) studied the h-index (Hirsch index) and the g-index, counting the authorship of cited articles in a fractional way. But his definition of the gF-index for the case that the article count is fractionalized yielded values that were close to or even larger than the original g-index. Here I propose an alternative definition by which the g-index is modified in such a way that the resulting gm-index is always smaller than the original g-index. Based on the interpretation of the g-index as the highest number of articles of a scientist that received on average g or more citations, in the specification of the new gm-index the articles are counted fractionally not only for the rank but also for the average.
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- g-index
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Schreiber, M.: Uncertainties and ambiguities in percentiles and how to avoid them (2013)
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- Date
- 22. 3.2013 19:52:05
-
Schreiber, M.: ¬An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index (2008)
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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.
-
Pörzgen, R.; Schreiber, M.: ¬Die Informationsvermittlungsstelle : Planung, Einrichtung, Betrieb (1993)
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Schreiber, M.: Inconsistencies in the highly cited publications indicator (2013)
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Schreiber, M.: Restricting the h-index to a citation time window : a case study of a timed Hirsch index (2014)
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Schreiber, M.: ¬A case study of the modified Hirsch index hm accounting for multiple coauthors (2009)
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Schreiber, M.: Empirical evidence for the relevance of fractional scoring in the calculation of percentile rank scores (2013)
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Schreiber, M.: ¬A variant of the h-index to measure recent performance (2015)
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Waltman, L.; Schreiber, M.: On the calculation of percentile-based bibliometric indicators (2013)
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Schreiber, M.: Inconsistencies of recently proposed citation impact indicators and how to avoid them (2012)
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Schreiber, M.: Das Web ist eine Wolke (2009)
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