Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Visualizing a discipline: an author co-citation analysis of information science, 1972–1995
Journal of the American Society for Information Science
Journal of the American Society for Information Science
Journal of the American Society for Information Science
Sharing digitized research-related information on the World Wide Web
Journal of the American Society for Information Science
Journal of the American Society for Information Science and Technology
Author cocitation analysis and Pearson's r
Journal of the American Society for Information Science and Technology
Information Processing and Management: an International Journal - Special issue: Infometrics
Towards all-author co-citation analysis
Information Processing and Management: an International Journal - Special issue: Informetrics
The integration of open access journals in the scholarly communication system: Three science fields
Information Processing and Management: an International Journal
Mining citation information from CiteSeer data
Scientometrics
Bibliometric analysis of CiteSeer data for countries
Information Processing and Management: an International Journal
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We present evidence that in some research fields, research published in journals and reported on the Web may collectively represent different evolutionary stages of the field, with journals lagging a few years behind the Web on average, and that a "two-tier" scholarly communication system may therefore be evolving. We conclude that in such fields, (a) for detecting current research fronts, author co-citation analyses (ACA) using articles published on the Web as a data source can outperform traditional ACAs using articles published in journals as data, and that (b) as a result, it is important to use multiple data sources in citation analysis studies of scholarly communication for a complete picture of communication patterns. Our evidence stems from comparing the respective intellectual structures of the XML research field, a subfield of computer science, as revealed from three sets of ACA covering two time periods: (a) from the field's beginnings in 1996 to 2001, and (b) from 2001 to 2006. For the first time period, we analyze research articles both from journals as indexed by the Science Citation Index (SCI) and from the Web as indexed by CiteSeer. We follow up by an ACA of SCI data for the second time period. We find that most trends in the evolution of this field from the first to the second time period that we find when comparing ACA results from the SCI between the two time periods already were apparent in the ACA results from CiteSeer during the first time period.