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Clustering of scientific journals

Author

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  • Mark P. Carpenter
  • Francis Narin

Abstract

A cluster analysis procedure is described in which 288 journals in the disciplines of physics, chemistry and molecular biology are grouped into clusters. Most of the clusters are easily identified as subdisciplinary subject areas. The data source was the cross citing amongst the journals derived from the Journal Citation Index (JCI), a file derived in turn from the Science Citation Index (SCI)®. The JCI consists of journal by journal tabulation of citings to and from each journal processed in the SCI. Two‐step citation maps linking the clusters are presented for each discipline. Within the disciplines the clusters of journals form fully transitive hierarchies with very few relational conflicts.

Suggested Citation

  • Mark P. Carpenter & Francis Narin, 1973. "Clustering of scientific journals," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(6), pages 425-436, November.
    • Handle: RePEc:bla:jamest:v:24:y:1973:i:6:p:425-436
    DOI: 10.1002/asi.4630240604
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    Cited by:

    1. Wang, Qi & Waltman, Ludo, 2016. "Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(2), pages 347-364.
    2. Lin Zhang & Frizo Janssens & Liming Liang & Wolfgang Glänzel, 2010. "Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 687-706, March.
    3. E. Bassecoulard & M. Zitt, 1999. "Indicators in a research institute: A multi-level classification of scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 323-345, March.
    4. C.M. Calero Medina & T.N. Leeuwen, 2012. "Seed journal citation network maps: A method based on network theory," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1226-1234, June.
    5. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    6. Leydesdorff, Loet & Gauthier, Elaine, 1996. "The evaluation of national performance in selected priority areas using scientometric methods," Research Policy, Elsevier, vol. 25(3), pages 431-450, May.
    7. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    8. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    9. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    10. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    11. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    12. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    13. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    14. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    15. Caroline S. Wagner & Loet Leydesdorff, 2003. "Seismology as a dynamic, distributed area of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 91-114, September.
    16. Lawrence D. Brown & John C. Gardner & Miklos A. Vasarhelyi, 1989. "Attributes of articles impacting contemporary accounting literature," Contemporary Accounting Research, John Wiley & Sons, vol. 5(2), pages 793-815, March.
    17. András Schubert, 2010. "A reference-based Hirschian similarity measure for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 133-147, July.
    18. Loet Leydesdorff, 2004. "Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 159-180, June.
    19. Gabriele Sampagnaro, 2023. "Keyword occurrences and journal specialization," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5629-5645, October.

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