A multidimensional extension to Hirsch's h-index
A multidimensional extension to Hirsch's h-index
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DOI：
10.1007/s11192-009-2290-1
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发表时间：
2009-12-01
期刊：
影响因子：
3.9
通讯作者：
Garcia-Perez, Miguel A.
中科院分区：
文献类型：
--
作者：
Garcia-Perez, Miguel A.
h指数正在成为职业评估的参考工具，一些机关和机构在决定晋升、分配和资金时开始考虑h指数。在h指数往往较低的领域，具有不同研究成果的个人最终可能会获得相同的h。本文提出了一个多维扩展的h指数，其中传统的h只是第一个组成部分。多维索引的其他组成部分是通过计算前一个组成部分中未考虑的论文子集的h指数来获得的。对西班牙行为科学方法系204名教员的多维指数的计算表明，具有相同h的个体确实可以通过其在其余成分中的值来区分，并且多维指数的第二和第三成分与替代文献计量指标的相关性强度与第一成分的相关性强度相似（即，原h）。
The h-index is becoming a reference tool for career assessment and it is starting to be considered by some agencies and institutions in promotion, allocation, and funding decisions. In areas where h indices tend to be low, individuals with different research accomplishments may end up with the same h. This paper proposes a multidimensional extension of the h index in which the conventional h is only the first component. Additional components of the multidimensional index are obtained by computing the h-index for the subset of papers not considered in the immediately preceding component. Computation of the multidimensional index for 204 faculty members in Departments of Methodology of the Behavioral Sciences in Spain shows that individuals with the same h can indeed be distinguished by their values in the remaining components, and that the strength of the correlation of the second and third components of the multidimensional index with alternative bibliometric indicators is similar to that of the first component (i.e., the original h).