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Comparison of the results of bibliographic coupling and analytic subject indexing

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  • M. M. Kessler

Abstract

A detailed comparison of how 334 papers in Vol. 112 of Physical Review form related groups according to two criteria of relatedness. The criteria are: (1) the Analytic Subject Index as used by the editors of the Physical Review; and (2) the method of Bibliographic Coupling. The similarities and differences between the groups thus formed are illustrated and discussed.

Suggested Citation

  • M. M. Kessler, 1965. "Comparison of the results of bibliographic coupling and analytic subject indexing," American Documentation, Wiley Blackwell, vol. 16(3), pages 223-233, July.
    • Handle: RePEc:bla:amedoc:v:16:y:1965:i:3:p:223-233
    DOI: 10.1002/asi.5090160309
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    Cited by:

    1. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    2. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Lola García-Santiago & Felix Moya-Anegón, 2009. "Using co-outlinks to mine heterogeneous networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 681-702, June.
    4. Carla Mara Hilário & Maria Cláudia Cabrini Grácio & Daniel Martínez-Ávila & Dietmar Wolfram, 2023. "Authorship order as an indicator of similarity between article discourse and author citation identity in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5389-5410, October.
    5. Samia Jamshed & Nauman Majeed, 2022. "Framing evolution and knowledge domain visualization of business ethics research (1975–2019): a large-scale scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4269-4294, December.
    6. Chaoqun Ni & Cassidy R. Sugimoto & Blaise Cronin, 2013. "Visualizing and comparing four facets of scholarly communication: producers, artifacts, concepts, and gatekeepers," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1161-1173, March.
    7. Sjögårde, Peter & Ahlgren, Per, 2018. "Granularity of algorithmically constructed publication-level classifications of research publications: Identification of topics," Journal of Informetrics, Elsevier, vol. 12(1), pages 133-152.
    8. Luis Felipe Cândido & Jose Carlos Lazaro & Adriano Olivier de Freitas e Silva & José de Paula Barros Neto, 2023. "Sustainability Transitions in the Construction Sector: A Bibliometric Review," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    9. Dahesh, Mehran Badin & Tabarsa, Gholamali & Zandieh, Mostafa & Hamidizadeh, Mohammadreza, 2020. "Reviewing the intellectual structure and evolution of the innovation systems approach: A social network analysis," Technology in Society, Elsevier, vol. 63(C).
    10. Ahlgren, Per & Colliander, Cristian, 2009. "Document–document similarity approaches and science mapping: Experimental comparison of five approaches," Journal of Informetrics, Elsevier, vol. 3(1), pages 49-63.
    11. Sitaram Devarakonda & Dmitriy Korobskiy & Tandy Warnow & George Chacko, 2020. "Viewing computer science through citation analysis: Salton and Bergmark Redux," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 271-287, October.
    12. Szu-Chia Lo, 2008. "Patent coupling analysis of primary organizations in genetic engineering research," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 143-151, January.
    13. Jarneving, Bo, 2007. "Complete graphs and bibliographic coupling: A test of the applicability of bibliographic coupling for the identification of cognitive cores on the field level," Journal of Informetrics, Elsevier, vol. 1(4), pages 338-356.
    14. Per Ahlgren & Bo Jarneving, 2008. "Bibliographic coupling, common abstract stems and clustering: A comparison of two document-document similarity approaches in the context of science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 273-290, August.

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