Do Hirsch-type indices behave the same in assessing single publications? An empirical study of 29 bibliometric indicators

Zhenbin Yan, Qiang Wu () and Xingchen Li
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Zhenbin Yan: University of Science and Technology of China
Qiang Wu: University of Science and Technology of China
Xingchen Li: University of Science and Technology of China

Scientometrics, 2016, vol. 109, issue 3, No 20, 1815-1833

Abstract: Abstract The h-index, introduced by Hirsch in 2005, was used by Schubert in 2009 to assess single publications. In 2011, Bornmann, Schier, Marx, and Daniel confirmed that the h-index is effective when assessing papers in chemistry. Quite a few Hirsch-type indices originate from the h-index. Can these Hirsch-type indices also be effectively used for assessing single publications? Will they behave the same or differently? In this study, the research objects were 26 kinds of Hirsch-type indices (including the original h-index) and three traditional methods, a total of 29 indicators. Based on the original definitions of these indicators and our new explanations of generations (i.e. mixed, pure, and non-pure generations of citations), we defined/redefined 29 paper-level metrics, calculated their values to assess publications, considered the correlations between those indices and the h-index or Wu’s w-index, and did factor analysis to contrast effectiveness. It was found that a few Hirsch-type indices (i.e. the f-index, rational h-index, real h-index, j-index, hg-index, Woeginger’s w-index, and tapered h-index) are highly correlated with the h-index but not close to Wu’s w-index, while some other indices (i.e. the a-index, h(5,2)-index, q2-index, r-index, maxprod, e-index, p-index, and weighted h-index) have relatively low correlations with the h-index but are close to Wu’s w-index. The normalized h-index and ph-ratio are obviously different from the other indices, and in most cases, their correlation coefficients with the h-index or Wu’s w-index are statistically non-significant (p > .05) or negative significant (p

Keywords: Hirsch-type indices; Single publication H-index; Paper-level metrics; Reference networks; Citation analysis (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11192-016-2147-3

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