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The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution
BACKGROUND: Although being a simple and effective index that has been widely used to evaluate academic output of scientists, the h-index suffers from drawbacks. One critical disadvantage is that only h-squared citations can be inferred from the h-index, which completely ignores excess and h-tail cit...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614896/ https://www.ncbi.nlm.nih.gov/pubmed/23565174 http://dx.doi.org/10.1371/journal.pone.0059912 |
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author | Zhang, Chun-Ting |
author_facet | Zhang, Chun-Ting |
author_sort | Zhang, Chun-Ting |
collection | PubMed |
description | BACKGROUND: Although being a simple and effective index that has been widely used to evaluate academic output of scientists, the h-index suffers from drawbacks. One critical disadvantage is that only h-squared citations can be inferred from the h-index, which completely ignores excess and h-tail citations, leading to unfair and inaccurate evaluations in many cases. METHODOLOGY /PRINCIPAL FINDINGS: To solve this problem, I propose the h’-index, in which h-squared, excess and h-tail citations are all considered. Based on the citation data of the 100 most prolific economists, comparing to h-index, the h’-index shows better correlation with indices of total-citation number and citations per publication, which, although relatively reliable and widely used, do not carry the information of the citation distribution. In contrast, the h’-index possesses the ability to discriminate the shapes of citation distributions, thus leading to more accurate evaluation. CONCLUSIONS /SIGNIFICANCE: The h’-index improves the h-index, as well as indices of total-citation number and citations per publication, by possessing the ability to discriminate shapes of citation distribution, thus making the h’-index a better single-number index for evaluating scientific output in a way that is fairer and more reasonable. |
format | Online Article Text |
id | pubmed-3614896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36148962013-04-05 The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution Zhang, Chun-Ting PLoS One Research Article BACKGROUND: Although being a simple and effective index that has been widely used to evaluate academic output of scientists, the h-index suffers from drawbacks. One critical disadvantage is that only h-squared citations can be inferred from the h-index, which completely ignores excess and h-tail citations, leading to unfair and inaccurate evaluations in many cases. METHODOLOGY /PRINCIPAL FINDINGS: To solve this problem, I propose the h’-index, in which h-squared, excess and h-tail citations are all considered. Based on the citation data of the 100 most prolific economists, comparing to h-index, the h’-index shows better correlation with indices of total-citation number and citations per publication, which, although relatively reliable and widely used, do not carry the information of the citation distribution. In contrast, the h’-index possesses the ability to discriminate the shapes of citation distributions, thus leading to more accurate evaluation. CONCLUSIONS /SIGNIFICANCE: The h’-index improves the h-index, as well as indices of total-citation number and citations per publication, by possessing the ability to discriminate shapes of citation distribution, thus making the h’-index a better single-number index for evaluating scientific output in a way that is fairer and more reasonable. Public Library of Science 2013-04-02 /pmc/articles/PMC3614896/ /pubmed/23565174 http://dx.doi.org/10.1371/journal.pone.0059912 Text en © 2013 Chun-Ting Zhang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhang, Chun-Ting The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution |
title | The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution |
title_full | The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution |
title_fullStr | The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution |
title_full_unstemmed | The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution |
title_short | The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution |
title_sort | h’-index, effectively improving the h-index based on the citation distribution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614896/ https://www.ncbi.nlm.nih.gov/pubmed/23565174 http://dx.doi.org/10.1371/journal.pone.0059912 |
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