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The convergence of information science and communication: A bibliometric analysis

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  • Christine L. Borgman
  • Ronald E. Rice

Abstract

This study asks whether the disciplines of information science and communication are converging, as indicated by a bibliometric study of all core journals of both disciplines in the Social Sciences Citation Index (SSCI®) for the period 1977 to 1987. Results show very little convergence between these disciplines, at least on the basis of cross‐disciplinary journal citation patterns, although the number of journals involved has increased slightly over time. A few journals are mainly responsible for the cross‐disciplinary citing, and they are primarily information science journals citing communication journals. The results may be of interest to those studying scholarly communication or bibliometrics, to faculty constructing curricula in either of the disciplines, to communication and information science scholars seeking new areas of research, and to collection development librarians in drawing the boundaries of these disciplines. © 1992 John Wiley & Sons, Inc.

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  • Christine L. Borgman & Ronald E. Rice, 1992. "The convergence of information science and communication: A bibliometric analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(6), pages 397-411, July.
    • Handle: RePEc:bla:jamest:v:43:y:1992:i:6:p:397-411
    DOI: 10.1002/(SICI)1097-4571(199207)43:63.0.CO;2-M
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    Cited by:

    1. Hamid R. Jamali & Ghasem Azadi-Ahmadabadi & Saeid Asadi, 2018. "Interdisciplinary relations of converging technologies: Nano–Bio–Info–Cogno (NBIC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1055-1073, August.
    2. Aurora A. C. Teixeira, 2011. "Mapping the (in)visible college(s) in the field of entrepreneurship," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 1-36, October.
    3. Moshe Blidstein & Maayan Zhitomirsky-Geffet, 2022. "Towards a new generic framework for citation network generation and analysis in the humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4275-4297, July.
    4. Stewart, Alex, 2018. "Can family business loosen the grips of accounting, economics, and finance?," Journal of Family Business Strategy, Elsevier, vol. 9(3), pages 153-166.
    5. Pan, Xuelian & Yan, Erjia & Cui, Ming & Hua, Weina, 2018. "Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools," Journal of Informetrics, Elsevier, vol. 12(2), pages 481-493.
    6. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    7. Shiyun Wang & Jin Mao & Yujie Cao & Gang Li, 2022. "Integrated knowledge content in an interdisciplinary field: identification, classification, and application," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6581-6614, November.
    8. 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.
    9. Yongjun Zhu & Erjia Yan, 2015. "Dynamic subfield analysis of disciplines: an examination of the trading impact and knowledge diffusion patterns of computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 335-359, July.
    10. Wang, Shiyun & Mao, Jin & Lu, Kun & Cao, Yujie & Li, Gang, 2021. "Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth," Journal of Informetrics, Elsevier, vol. 15(4).
    11. Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    12. Ying Ding & Gobinda G. Chowdhury & Schubert Foo, 2000. "Journal as Markers of Intellectual Space: Journal Co-Citation Analysis of Information Retrieval Area, 1987–1997," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 55-73, January.
    13. Saeed-Ul Hassan & Iqra Safder & Anam Akram & Faisal Kamiran, 2018. "A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 973-996, August.
    14. Yan, Erjia & Ding, Ying & Cronin, Blaise & Leydesdorff, Loet, 2013. "A bird's-eye view of scientific trading: Dependency relations among fields of science," Journal of Informetrics, Elsevier, vol. 7(2), pages 249-264.

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