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Author-centered bibliometrics through CAMEOs: Characterizations automatically made and edited online

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  • Howard D. White

    (Drexel University)

Abstract

This article describes ways of automatically generating 15 kinds of personal profiles of authors from bibliographic data on their publications in databases. Nicknamed CAMEOs, the profiles can be used for retrieval of documents by human searchers or computerized agents. They can also be used for mapping an author's subject matter (in terms of descriptors, identifiers, and natural language) and studying his or her publishing career. Finally, they can be used to map the intellectual and social networks evident in citations to and from authors and in co-authorships.

Suggested Citation

  • Howard D. White, 2001. "Author-centered bibliometrics through CAMEOs: Characterizations automatically made and edited online," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 607-637, January.
    • Handle: RePEc:spr:scient:v:50:y:2001:i:3:d:10.1023_a:1012738725904
    DOI: 10.1023/A:1012738725904
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    References listed on IDEAS

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    1. Peter Ingwersen & Finn Hjortgaard Christensen, 1997. "Data set isolation for bibliometric online analyses of research publications: Fundamental methodological issues," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(3), pages 205-217, March.
    2. H. P. F. Peters & R. R. Braam & A. F. J. van Raan, 1995. "Cognitive resemblance and citation relations in chemical engineering publications," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 46(1), pages 9-21, January.
    3. Howard D. White, 2001. "Authors as citers over time," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(2), pages 87-108.
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    Cited by:

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    2. Bar-Ilan, Judit & Levene, Mark & Lin, Ayelet, 2007. "Some measures for comparing citation databases," Journal of Informetrics, Elsevier, vol. 1(1), pages 26-34.
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    4. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
    5. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    6. Byungun Yoon & Sungjoo Lee & Gwanghee Lee, 2010. "Development and application of a keyword-based knowledge map for effective R&D planning," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 803-820, December.
    7. Wang, Peiling & Su, Jing, 2021. "Post-publication expert recommendations in faculty opinions (F1000Prime): Recommended articles and citations," Journal of Informetrics, Elsevier, vol. 15(3).
    8. Omar Hernando Avila-Poveda, 2014. "Technical report: the trend of author compound names and its implications for authorship identity identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 833-846, October.

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