Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research

Lin Zhang, Frizo Janssens, Liming Liang and Wolfgang Glänzel ()
Additional contact information
Lin Zhang: K. U. Leuven
Frizo Janssens: K. U. Leuven
Liming Liang: WISE Lab, Dalian University of Technology
Wolfgang Glänzel: K. U. Leuven

Scientometrics, 2010, vol. 82, issue 3, No 19, 687-706

Abstract: Abstract The objective of this study is to use a clustering algorithm based on journal cross-citation to validate and to improve the journal-based subject classification schemes. The cognitive structure based on the clustering is visualized by the journal cross-citation network and three kinds of representative journals in each cluster among the communication network have been detected and analyzed. As an existing reference system the 15-field subject classification by Glänzel and Schubert (Scientometrics 56:55–73, 2003) has been compared with the clustering structure.

Keywords: Journal cross-citation; Cluster analysis; Mapping of science; Subject classification (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (15)

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DOI: 10.1007/s11192-010-0180-1

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