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Strength and weakness of national science systems: A bibliometric analysis through cooperation patterns

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  • Thed N. Leeuwen

    (Leiden University)

Abstract

In this study we have focused on long term developments of various types of scientific publishing, and the field-normalized impact generated by these various types. The types of scientific output distinguished are output resulting from international cooperation, national cooperation, and single address publications, in which no apparent cooperation is found. A fourth type is distinguished by focusing on first authorship, within the international cooperation output. Changes in especially the share of a country’s output from first-authored international cooperation and the share of single address publications can be regarded as indicators of strength and/or weakness of a science system.

Suggested Citation

  • Thed N. Leeuwen, 2009. "Strength and weakness of national science systems: A bibliometric analysis through cooperation patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 389-408, May.
    • Handle: RePEc:spr:scient:v:79:y:2009:i:2:d:10.1007_s11192-009-0426-y
    DOI: 10.1007/s11192-009-0426-y
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    References listed on IDEAS

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    1. Linda Butler, 2002. "A list of published papers is no measure of value," Nature, Nature, vol. 419(6910), pages 877-877, October.
    2. Michel Zitt & Elise Bassecoulard & Yoshiko Okubo, 2000. "Shadows of the Past in International Cooperation: Collaboration Profiles of the Top Five Producers of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 627-657, March.
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    Cited by:

    1. Valeria Aman, 2016. "How collaboration impacts citation flows within the German science system," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2195-2216, December.
    2. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    3. Yutao Sun & Seamus Grimes, 2016. "The emerging dynamic structure of national innovation studies: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 17-40, January.
    4. Holger Graf & Martin Kalthaus, 2022. "Global Knowledge Embeddedness," Jena Economics Research Papers 2022-004, Friedrich-Schiller-University Jena.
    5. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    6. María Bordons & Borja González-Albo & Javier Aparicio & Luz Moreno, 2015. "The influence of R&D intensity of countries on the impact of international collaborative research: evidence from Spain," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1385-1400, February.
    7. Maria Cláudia Cabrini Grácio & Ely Francina Tannuri Oliveira & Zaida Chinchilla-Rodríguez & Henk F. Moed, 2020. "Does corresponding authorship influence scientific impact in collaboration: Brazilian institutions as a case of study," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1349-1369, November.
    8. Zaida Chinchilla-Rodríguez & Cassidy R Sugimoto & Vincent Larivière, 2019. "Follow the leader: On the relationship between leadership and scholarly impact in international collaborations," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-18, June.
    9. 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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