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

Lin Zhang, Frizo Janssens, Liming Liang, W. Glänzel

Research output: Contribution to journalArticle

20 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)687-706
Number of pages20
JournalScientometrics
Volume82
Issue number3
DOIs
Publication statusPublished - 2010

Fingerprint

cognitive structure
Clustering algorithms
Telecommunication networks
communication

Keywords

  • Cluster analysis
  • Journal cross-citation
  • Mapping of science
  • Subject classification

ASJC Scopus subject areas

  • Computer Science Applications
  • Social Sciences(all)
  • Library and Information Sciences
  • Law

Cite this

Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research. / Zhang, Lin; Janssens, Frizo; Liang, Liming; Glänzel, W.

In: Scientometrics, Vol. 82, No. 3, 2010, p. 687-706.

Research output: Contribution to journalArticle

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