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Investigating the concentration within a research community using joint publications and co-authorship via intermediaries

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  • Christian Genest

    (Université Laval)

  • Carl Thibault

    (Institut de la statistique du Québec)

Abstract

Given extensive research collaboration in modern science, both at thenational and international level, one might wonder whether the network ofresearchers within each discipline is now sufficiently meshed that a largeproportion of contributors to peer-reviewed journals in a given field couldeither share joint publications or, more realistically, be connected throughchains of co-authorships. Such is not the case yet in the fields of probabilityand statistics, however, as shown here using a large data base covering 9reknown journals from each of these two areas over the period 1986-1995.

Suggested Citation

  • Christian Genest & Carl Thibault, 2001. "Investigating the concentration within a research community using joint publications and co-authorship via intermediaries," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(2), pages 429-440, June.
    • Handle: RePEc:spr:scient:v:51:y:2001:i:2:d:10.1023_a:1012761903614
    DOI: 10.1023/A:1012761903614
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    Cited by:

    1. Haiyang Lu & Yuqiang Feng, 2009. "A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 499-511, November.
    2. Chin-Chang Tsai & Elizabeth A. Corley & Barry Bozeman, 2016. "Collaboration experiences across scientific disciplines and cohorts," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 505-529, August.
    3. Hildrun Kretschmer & Isidro F. Aguillo, 2004. "Visibility of collaboration on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 405-426, November.
    4. Hildrun Kretschmer, 2004. "Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 409-420, August.
    5. Perianes-Rodríguez, Antonio & Chinchilla-Rodríguez, Zaida & Vargas-Quesada, Benjamín & Olmeda Gómez, Carlos & Moya-Anegón, Félix, 2009. "Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results," Journal of Informetrics, Elsevier, vol. 3(2), pages 91-101.
    6. Rodica Ioana Lung & Noémi Gaskó & Mihai Alexandru Suciu, 2018. "A hypergraph model for representing scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1361-1379, December.

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