An investigation on mathematical models of the h-index

An investigation on mathematical models of the h-index

Based on two large data samples from ISI databases, the author evaluated the Hirsch model, the Egghe-Rousseau model, and the Glänzel-Schubert model of the h-index. The results support the Glänzel-Schubert model as a better estimation of the h-index at both journal and institution levels. If h c , h...

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Bibliographic Details
Published in:Scientometrics Vol. 81; no. 2; pp. 493 - 498
Main Author: Ye, Fred Y.
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01-11-2009
Subjects:
Bibliometrics
Citation indexes
Computer Science
Hirsch index
Information Storage and Retrieval
Library Science
Mathematical models
Scholarly publishing
Journal Title
Essential Science Indicator
Large Data Sample
Scientific Research Output
Institution Level
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Summary:Based on two large data samples from ISI databases, the author evaluated the Hirsch model, the Egghe-Rousseau model, and the Glänzel-Schubert model of the h-index. The results support the Glänzel-Schubert model as a better estimation of the h-index at both journal and institution levels. If h c , h p and h pc stand for the Hirsch estimation, Egghe-Rousseau estimation, and Glänzel-Schubert estimation, respectively, then an inequality h p < h ∼ h pc < h c holds in most cases.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0138-9130
1588-2861
DOI:10.1007/s11192-008-2169-6