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Patterns of author cocitation in information policy: Evidence of social, collaborative and cognitive structure

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  • I. Rowlands

    (City University)

Abstract

This paper presents the findings of an author cocitation study in the field of information policy. Cocitation frequencies for 21 leading authors over the period 1972–1997 were obtained from the multidisciplinary databaseSocial Sciences Citation Index. The raw cocitation counts were transformed into a matrix of Pearson correlation profiles and subsequently visualised using multidimensional scaling techniques. An initial interpretation of the structure of the field of information policy was attempted, drawing on a range of non-bibliometric evidence. The results of a customised postal questionnaire to the data subjects themselves supports the present writer's allocation of the authors into thematic clusters. These results suggest that the social, collaborative and intellectual structure of information policy scholarship are highly convergent.

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  • I. Rowlands, 1999. "Patterns of author cocitation in information policy: Evidence of social, collaborative and cognitive structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 533-546, March.
    • Handle: RePEc:spr:scient:v:44:y:1999:i:3:d:10.1007_bf02458494
    DOI: 10.1007/BF02458494
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    References listed on IDEAS

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    1. Howard D. White, 1981. "Cocited author retrieval online: An experiment with the social indicators literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(1), pages 16-21, January.
    2. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
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    Cited by:

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    2. Diana Reader & David Watkins, 2006. "The Social and Collaborative Nature of Entrepreneurship Scholarship: A Co–Citation and Perceptual Analysis," Entrepreneurship Theory and Practice, , vol. 30(3), pages 417-441, May.
    3. Raphaël Maucuer & Alexandre Renaud & Sébastien Ronteau & Laurent Muzellec, 2022. "What can we learn from marketers? A bibliometric analysis of the marketing literature on business model research," Post-Print hal-03718522, HAL.
    4. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    5. Di Stefano, Giada & Gambardella, Alfonso & Verona, Gianmario, 2012. "Technology push and demand pull perspectives in innovation studies: Current findings and future research directions," Research Policy, Elsevier, vol. 41(8), pages 1283-1295.
    6. Pamela E. Sandstrom, 2001. "Scholarly communication as a socioecological system," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 573-605, January.
    7. Wang, Feifei & Dong, Jiaxin & Lu, Wanzhao & Xu, Shuo, 2023. "Collaboration prediction based on multilayer all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 17(1).
    8. Maria Di Guardo & Kathryn Harrigan, 2012. "Mapping research on strategic alliances and innovation: a co-citation analysis," The Journal of Technology Transfer, Springer, vol. 37(6), pages 789-811, December.
    9. Huang Wei & Chen Yong, 2012. "SNA of educational economics cooperation network in China: a scinetometrics study from 1980 to 2009," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 3(1), pages 48-62.
    10. Acedo, Francisco José & Casillas, José Carlos, 2005. "Current paradigms in the international management field: An author co-citation analysis," International Business Review, Elsevier, vol. 14(5), pages 619-639, October.
    11. Béatrice Milard & Yoann Pitarch, 2023. "Egocentric cocitation networks and scientific papers destinies," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 415-433, April.
    12. Patriarca, Riccardo & Ramos, Marilia & Paltrinieri, Nicola & Massaiu, Salvatore & Costantino, Francesco & Di Gravio, Giulio & Boring, Ronald Laurids, 2020. "Human reliability analysis: Exploring the intellectual structure of a research field," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    13. Jianrong Yao & Xiangliang Guo & Lu Wang & Hui Jiang, 2022. "Understanding Green Consumption: A Literature Review Based on Factor Analysis and Bibliometric Method," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    14. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.

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