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Does the higher citation of collaborative research differ from region to region? A case study of Economics

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  • Jonathan M. Levitt

    (Loughborough University
    University of Wolverhampton)

  • Mike Thelwall

    (University of Wolverhampton)

Abstract

Many studies have found that collaborative research is, in general, more highly cited than non-collaborative research. This paper describes an investigation into the extent to which the association between high citation and collaboration for Economics articles published in 2000 varies from region to region and depends on the choice of indicator of citation level. Using data from the Social Science Citation Index (SSCI) for 18 countries, 17 American states and four indicators of citation level the citation levels of the collaborative articles are compared with the citation levels of the non-collaborative articles. The main findings are that: (a) for every country and every indicator the mean citation level of the collaborative articles was at least as high as that for the non-collaborative articles, but for five US states and for at least one other indicator the citation level of collaborative articles was lower than that of non-collaborative articles, and (b) the extent to which collaborative articles were more highly cited varied considerably from country to country, from state to state, and from indicator to indicator. This indicates the importance of using multiple indicators when investigating citation advantage since the choice of indicator can change the results.

Suggested Citation

  • Jonathan M. Levitt & Mike Thelwall, 2010. "Does the higher citation of collaborative research differ from region to region? A case study of Economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 171-183, October.
    • Handle: RePEc:spr:scient:v:85:y:2010:i:1:d:10.1007_s11192-010-0197-5
    DOI: 10.1007/s11192-010-0197-5
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    Cited by:

    1. Jonathan M. Levitt & Mike Thelwall, 2016. "Long term productivity and collaboration in information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1103-1117, September.
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    4. Richard S. J. Tol, 2011. "Credit where credit’s due: accounting for co-authorship in citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 291-299, October.
    5. Fu, Xiaolan & Fu, Xiaoqing (Maggie) & Ghauri, Pervez & Hou, Jun, 2022. "International collaboration and innovation: Evidence from a leading Chinese multinational enterprise," Journal of World Business, Elsevier, vol. 57(4).
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    7. Jonathan M. Levitt, 2015. "What is the optimal number of researchers for social science research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 213-225, January.
    8. Karpov, Alexander, 2014. "Equal weights coauthorship sharing and the Shapley value are equivalent," Journal of Informetrics, Elsevier, vol. 8(1), pages 71-76.
    9. Yezhu Wang & Yundong Xie & Dong Wang & Lu Guo & Rongting Zhou, 2022. "Do cover papers get better citations and usage counts? An analysis of 42 journals in cell biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3793-3813, July.
    10. Thelwall, Mike & Sud, Pardeep, 2014. "No citation advantage for monograph-based collaborations?," Journal of Informetrics, Elsevier, vol. 8(1), pages 276-283.
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    12. Maria Benavent-Pérez & Juan Gorraiz & Christian Gumpenberger & Félix Moya-Anegón, 2012. "The different flavors of research collaboration: a case study of their influence on university excellence in four world regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 41-58, October.
    13. Radhamany Sooryamoorthy, 2017. "Do types of collaboration change citation? A scientometric analysis of social science publications in South Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 379-400, April.
    14. Thelwall, Mike & Sud, Pardeep, 2016. "National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator," Journal of Informetrics, Elsevier, vol. 10(1), pages 48-61.
    15. Guillermo Armando Ronda-Pupo & J. Sylvan Katz, 2018. "The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 919-932, March.
    16. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2016. "Excellence networks in science: A Web-based application based on Bayesian multilevel logistic regression (BMLR) for the identification of institutions collaborating successfully," Journal of Informetrics, Elsevier, vol. 10(1), pages 312-327.
    17. Ali Gazni & Cassidy R. Sugimoto & Fereshteh Didegah, 2012. "Mapping world scientific collaboration: Authors, institutions, and countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 323-335, February.
    18. Ali Gazni & Vincent Larivière & Fereshteh Didegah, 2016. "The effect of collaborators on institutions’ scientific impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1209-1230, November.
    19. Claudia N. Gonzalez Brambila & Renata Herrerias, 2024. "Assessing the impact of collaborative authorship in Business Economics in Latin America," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4623-4660, July.
    20. Stojan Pečlin & Primož Južnič & Rok Blagus & Mojca Čižek Sajko & Janez Stare, 2012. "Effects of international collaboration and status of journal on impact of papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 937-948, December.

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