The influence of random removal of sources and items on the h-index

Authors:
L. Egghe
Affiliations:
Universiteit Hasselt (UHasselt), Agoralaan, Belgium 3590 and Universiteit Antwerpen (UA), IBW, Antwerpen, Belgium 2000
Venue:
Scientometrics
Year:
2011

Citing 4
Cited 0

The influence of transformations on the h-index and the g-index

Journal of the American Society for Information Science and Technology
Influence of adding or deleting items and sources on the h-index

Journal of the American Society for Information Science and Technology
Mathematical derivation of the scale-dependence of the h-index and other h-type indices

Scientometrics
The Hirsch index and related impact measures

Annual Review of Information Science and Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

If we have two information production processes with the same h-index, random removal of items causes one system to have a higher h-index than the other system while random removal of sources causes the opposite effect. In a Lotkaian framework we prove formulae for the h-index in case of random removal of items and in case of random removal of sources. In conclusion, we warn for the use of the h-index in case of incomplete data sets.