, Volume 57, Issue 1, pp 7–25 | Cite as

Journal co-citation analysis of semiconductor literature

  • Ming-yueh Tsay
  • Hong Xu
  • Chia-wen Wu


The purpose of this study is to map semiconductor literature using journal co-citation analysis. The journal sample was gathered from the INSPEC database from 1978 to 1997. In the co-citation analysis, the data compiled were counts of the number of times two journal titles were jointly cited in later publications. It is assumed that the more two journals are cited together, the closer the relationship between them. The journal set used was the 30 most productive journals in the field of semiconductors. Counts of co-citations to the set of semiconductor journals were retrieved from SciSearch database, accessed through Dialog. Cluster analysis and multi-dimensional scaling were employed to create two-dimensional maps of journal relationships in the cross-citation networks. The following results were obtained through this co-citation study: The 30 journals fall fairly clearly into three clusters. The major cluster of journals, containing 17 titles, is in the subject of physics. The second cluster, consisting of 9 journals, includes journals primarily on material science. The remaining cluster represents research areas in the discipline of electrical and electronic engineering. All co-cited journals share similar co-citation profiles, reflected in high positive Pearson correlation. Two hundred and ninety-six pairs (68%) correlate at greater than 0.70. This shows that there is strong relationship between semiconductor journals. Five individual journals in five paired sets with co-citation frequency over 100,000 times include Physical Review B, Condensed Matter; Physical Review Letters; Applied Physics Letters; Journal of Applied Physics; and Solid State Communications.


Journal Citation Report Physical Review Letter Social Science Citation Index Apply Physic Letter Core Journal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    J. ALGER, Can RANK be used to generate a reliable author list for co-citation studies?, College & Research Libraries, 57 (6) (1996) 567–574.Google Scholar
  2. 2.
    K. W. MCCAIN, Mapping economics through the journal literature: an experiment in JCA, Journal of the American Society for Information Science, 42 (4) (1991) 290–296.CrossRefGoogle Scholar
  3. 3.
    K. W. MCCAIN, Core journal networks and co-citation maps: new bibliometric tools for serials research and management, Library Quarterly, 61 (3) (1991) 311–336.CrossRefGoogle Scholar
  4. 4.
    H. D. WHITE, K. W. MCCAIN, Bibliometrics, Annual Review of Information Science and Technology, 24 (1989) 119–185.Google Scholar
  5. 5.
    R. E. RICE, C. L. BORGMAN, L. CHRISTINE, D. BEDNARSKI, P. J. HART, Journal-to journal citation data: issues of validity and reliability, Scientometrics, 15 (3–4) (1988) 257–282.Google Scholar
  6. 6.
    K. W. MCCAIN, Neural networks research in context: a longitudinal JCA of an emerging interdisciplinary field, Scientometrics, 41 (3) (1998) 389–410.CrossRefGoogle Scholar
  7. 7.
    M. Y. TSAY, S. J. JOU, S. S. MA, A bibliometric study of semiconductor literature, 1978–1997, Scientometrics, 49 (3) (2000) 527–545.CrossRefGoogle Scholar

Copyright information

© Kluwer Academic Publishers/Akadémiai Kiadó 2003

Authors and Affiliations

  1. 1.Department of Information and Library ScienceTamkang University TamsuiTaiwan, Republic of China
  2. 2.School of Information SciencesPittsburgh UniversitPittsburghUSA
  3. 3.Branch LibraryTaipei Municipal LibraryTaipei (Taiwan

Personalised recommendations