Self-citation corrections for the Hirsch index

By Michael Schreiber. 2007

179 citations recorded by the source corpus.

I propose to sharpen the index h, suggested by Hirsch as a useful index to characterize the scientific output of a researcher, by excluding the self-citations. Performing a self-experiment and also discussing in detail two anonymous data sets, it is shown that self-citations can significantly reduce the h index in contrast to Hirsch's expectations. This result is confirmed by an analysis of 13 further data sets.

Subfields: Economics and Econometrics, History and Philosophy of Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ff425daba6684e68e8d9ac539bf3d5d91fb877d2

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In Economics and Econometrics

In History and Philosophy of Science

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Citations in the corpus

Reflections on recent developments of the h-index and h-type indices (2008, background): “The relation between the h-index and self-citations has been studied by Schreiber[10].”
To share the fame in a fair way, hm modifies h for multi-authored manuscripts (2008, background): “Other modifications of theh-index have been proposed, for example, the exclusion of selfcitations [10, 11].”
h-Index: A review focused in its variants, computation and standardization for different scientific fields (2009, background): “On the contrary, Schreiber (2007a) has studied the h-index for 26 non-prominent physicists.”
A review of the literature on citation impact indicators (2015, background): “Schreiber (2007) argues that Hirsch (2005) underestimates the sensitivity of the h-index to author self-citations.”
Impact of license choice on Open Source Software development activity (2009, background): “Apparently, no prior work exists on dealing with coterminal citations; the closest relevant works include techniques to filter self-citations or weigh multi-author self-citations ( Schreiber, 2007; Schubert, Glanzel, & Thijs, 2006) and an early scheme to count cardinalities of citing authors (Lehrl”