
TL;DR
The paper discusses the robustness of the h-index, highlighting its resilience to citation errors and its advantages over other metrics like impact factors for evaluating individuals and journals.
Contribution
It provides an analysis of the h-index's robustness and advocates for its use over impact factors due to its reliability and verifiability.
Findings
h-index remains stable despite citation errors
h-index is easier to verify than impact factors
robustness applies to both individuals and journals
Abstract
The h-index (Hirsch, 2005) is robust, remaining relatively unaffected by errors in the long tails of the citations-rank distribution, such as typographic errors that short-change frequently-cited papers and create bogus additional records. This robustness, and the ease with which h-indices can be verified, support the use of a Hirsch-type index over alternatives such as the journal impact factor. These merits of the h-index apply to both individuals and to journals.
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