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Exploratory Factor Analysis on H-Index and its Derivative Indexes Based on Big Data
Received date: 2013-02-18
Revised date: 2013-04-20
Online published: 2013-05-20
Since Jorge E. Hirsch proposed the h index in 2005, this indictor has been focused on by academia because of its characteristic of simple calculation and wide application. Many researchers made a lot of work to revise it, and proposed many types of derivative h indexes. In order to find out clearly the homology relationship among these indictors, this article selected 114 643 articles of ESI Agricultural Science from SCIE database during 2008 to 2011, to analyze their correlation by Exploratory Factor Analysis. The results showed that: in the case of big data, A Index and m Index are closely related to the quality of articles; g Index, hw Index and R Index are better to evaluate higher production and higher citation authors; hw Index and χ Index are better for higher production and lower citation authors; π Index, χ Index, m Index, A Index, hw Index, e Index are better for lower production and higher citation authors.
Key words： H-Index; derivative h indexes; personnel evaluation; factor analysis
Yan Sulan , Peng Qiuru , Zhang Chaoqun , Yang Bo . Exploratory Factor Analysis on H-Index and its Derivative Indexes Based on Big Data[J]. Library and Information Service, 2013 , 57(10) : 110 -115 . DOI: 10.7536/j.issn.0252-3116.2013.10.017
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