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h-Index: A review focused in its variants, computation and standardization for different scientific fields

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Alonso, S., Cabrerizo, F.J., Herrera-Viedma, E., Herrera, F.·2009·Journal of Informetrics

Abstract

The h-index and some related bibliometric indices have received a lot of attention from the scientific community in the last few years due to some of their good properties (easiness of computation, balance between quantity of publications and their impact and so on). Many different indicators have been developed in order to extend and overcome the drawbacks of the original Hirsch proposal. In this contribution we present a comprehensive review on the h-index and related indicators field. From the initial h-index proposal we study their main advantages, drawbacks and the main applications that we can find in the literature. A description of many of the h-related indices that have been developed along with their main characteristics and some of the works that analyze and compare them are presented. We also review the most up to date standardization studies that allow a fair comparison by means of the h-index among scientists from different research areas and finally, some works that analyze the computation of the h-index and related indices by using different citation databases (ISI Citation Indexes, Google Scholar and Scopus) are introduced.

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Metadata

Authors
Alonso, S., Cabrerizo, F. J., Herrera-Viedma, E., & Herrera, F.
Venue
Journal of Informetrics
Publisher
Elsevier BV
Published
2009-10
Volume
3
Issue
4
Pages
273-289
ISSN
1751-1577 (ISSN-L)
OpenAlex
W2169089330
Cited by
848
References
2
FWCI
43.39
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: h-Index: A review focused in its variants, computation and standardization for different scientific fields. https://app.cochat.ai/papers/10.1016/j.joi.2009.04.001
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Alonso, S., Cabrerizo, F. J., Herrera-Viedma, E., & Herrera, F. (2009). h-Index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics. https://doi.org/10.1016/j.joi.2009.04.001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.