期刊
JOURNAL OF INFORMETRICS
卷 2, 期 3, 页码 229-239出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.joi.2008.05.004
关键词
author co-citation analysis; bibliometrics; information science; Scopus; citation analysis
Although it is generally understood that different citation counting methods can produce quite different author rankings, and although optimal author co-citation counting methods have been identified theoretically, studies that compare author co-citation counting methods in author co-citation analysis (ACA) studies are still rare. The present study applies strict all-author-based ACA to the Information Science (IS) field, in that all authors of all cited references in a classic IS dataset are counted, and in that even the diagonal values of the co-citation matrix are computed in their theoretically optimal form. Using Scopus instead of SSCI as the data source, we find that results from a theoretically optimal all-author ACA appear to be excellent in practice, too, although in a field like IS where co-authorship levels are relatively low, its advantages over classic first-author ACA appear considerably smaller than in the more highly collaborative ones targeted before. Nevertheless, we do find some differences between the two approaches, in that first-author ACA appears to favor theorists who presumably tend to work alone, while all-author ACA appears to paint a somewhat more recent picture of the field, and to pick out some collaborative author clusters. (C) 2008 Elsevier Ltd. All rights reserved.
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