All author cocitation analysis and first author cocitation analysis: A comparative empirical investigation

Sean Eom ()

Journal of Informetrics, 2008, vol. 2, issue 1, 53-64

Abstract: The majority of author cocitation analysis (ACA) have relied on the Institute for Scientific Information (ISI) citation databases. ISI convention allows only the retrieval of papers that cite works of which the author is first or sole author. Non-primary authors (authors whose name appear in second or later position) will not be counted when assembling a cocitation frequency matrix. Therefore, this has been a methodological issue in ACA study. This paper empirically examines the impact of the ISI convention on the results of ACA. Previous research has addressed and shed light on some parts of methodological issues, but failed to address issues such as to what extent the use of different approach has resulted in different outcomes in terms of actual intellectual structure of a given academic discipline. Using our data and cociation matrix generation systems, we compare the differences in the process and outcomes of using different cocitation matrices. Our study concludes that all author based ACA is better than first author based ACA to capture all influential researchers in a field. It also identifies more research subspecialties. Finally, all Author based ACA and first author based ACA produce little differences in stress values of MDS outputs.

Keywords: Author cocitation analysis; All author ACA; First author ACA (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:2:y:2008:i:1:p:53-64

DOI: 10.1016/j.joi.2007.09.001

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