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Cited by 451

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

The e-Index, Complementing the h-Index for Excess Citations

Open access
Zhang, Chun-Ting·2009·PLoS ONE

Abstract

BACKGROUND: The h-index has already been used by major citation databases to evaluate the academic performance of individual scientists. Although effective and simple, the h-index suffers from some drawbacks that limit its use in accurately and fairly comparing the scientific output of different researchers. These drawbacks include information loss and low resolution: the former refers to the fact that in addition to h(2) citations for papers in the h-core, excess citations are completely ignored, whereas the latter means that it is common for a group of researchers to have an identical h-index. METHODOLOGY/PRINCIPAL FINDINGS: To solve these problems, I here propose the e-index, where e(2) represents the ignored excess citations, in addition to the h(2) citations for h-core papers. Citation information can be completely depicted by using the h-index together with the e-index, which are independent of each other. Some other h-type indices, such as a and R, are h-dependent, have information redundancy with h, and therefore, when used together with h, mask the real differences in excess citations of different researchers. CONCLUSIONS/SIGNIFICANCE: Although simple, the e-index is a necessary h-index complement, especially for evaluating highly cited scientists or for precisely comparing the scientific output of a group of scientists having an identical h-index.

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Metadata

Authors
Zhang, C.-T.
Venue
PLoS ONE
Published
2009-05-05
Volume
4
Issue
5
Pages
e5429
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2108695571
Cited by
451
References
18
FWCI
29.45
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: The e-Index, Complementing the h-Index for Excess Citations. https://app.cochat.ai/papers/10.1371/journal.pone.0005429
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Zhang, C.-T. (2009). The e-Index, Complementing the h-Index for Excess Citations. PLoS ONE. https://doi.org/10.1371/journal.pone.0005429

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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.