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Mapping the highly collaborative Stem Cell research field: Adding last-author-based analysis to the author co-citation analysis family

Dangzhi Zhao and Andreas Strotmann

(Submission #284)


In this paper we compare author cocitation analysis (ACA) results for the highly collaborative stem cell (SC) research field 2004-2009 using three types of ACA: all-author, first-author, and last-author. The latter of these, introduced here for the first time, is found to be an excellent compromise between first- and all-author ACAs in that (a) Scopus directly supports it and (b) its results are close to those of an (optimal) all-author ACA in fields where last authors are traditionally those who supervise the research published in a paper. We confirm predictions from previous studies that all-author ACA results have better model fits than single-author ACA ones, but cannot confirm the hypothesis that significantly higher levels of collaboration in a field lead to significantly greater differences between first- and all-author ACA results.


Program Track:  Track 4 - Information and Knowledge Management
Submission Type:  Research Paper

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