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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. 51(3), pages 607-637, July.
    • Handle: RePEc:spr:scient:v:51:y:2001:i:3:d:10.1023_a:1019607522125
    DOI: 10.1023/A:1019607522125
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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. Skupin, André, 2009. "Discrete and continuous conceptualizations of science: Implications for knowledge domain visualization," Journal of Informetrics, Elsevier, vol. 3(3), pages 233-245.
    3. Wang, Peiling & Su, Jing, 2021. "Post-publication expert recommendations in faculty opinions (F1000Prime): Recommended articles and citations," Journal of Informetrics, Elsevier, vol. 15(3).
    4. Félix Moya-Anegón & Benjamín Vargas-Quesada & Victor Herrero-Solana & Zaida Chinchilla-Rodríguez & Elena Corera-Álvarez & Francisco J. Munoz-Fernández, 2004. "A new technique for building maps of large scientific domains based on the cocitation of classes and categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 129-145, September.
    5. 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.
    6. Howard D. White, 2004. "Reward, persuasion, and the Sokal Hoax: A study in citation identities," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 93-120, May.
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    8. Bar-Ilan, Judit & Levene, Mark & Lin, Ayelet, 2007. "Some measures for comparing citation databases," Journal of Informetrics, Elsevier, vol. 1(1), pages 26-34.
    9. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

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