IDEAS home Printed from https://ideas.repec.org/a/oup/rseval/v19y2010i1p55-65.html
   My bibliography  Save this article

A structural analysis of collaboration between European research institutes

Author

Listed:
  • Bart Thijs
  • Wolfgang Glänzel

Abstract

Collaboration in science has been the subject of many studies. In this study we focus on the influence of the research profile of an institute on its collaborative behaviour and pattern. The classification model developed by the authors provides a helpful tool to identify the specialisms of a research institution and to create groups of similar institutions that enable study of the relationship between science fields and collaborative behaviour. First we show the effect of research profile on the shares of different types of collaboration. Next, citation indicators are used to investigate the changes on impact and publication strategy over the different types of collaboration. Finally we try to find for each group the research profile of the most preferred partners. Copyright , Beech Tree Publishing.

Suggested Citation

  • Bart Thijs & Wolfgang Glänzel, 2010. "A structural analysis of collaboration between European research institutes," Research Evaluation, Oxford University Press, vol. 19(1), pages 55-65, March.
  • Handle: RePEc:oup:rseval:v:19:y:2010:i:1:p:55-65
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.3152/095820210X492486
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang Li & Huajiao Li & Nairong Liu & Xueyong Liu, 2018. "Important institutions of interinstitutional scientific collaboration networks in materials science," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 85-103, October.
    2. Guo Chen & Lu Xiao & Chang-ping Hu & Xue-qin Zhao, 2015. "Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 707-724, May.
    3. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    4. Bryn Lander, 2015. "Proximity at a distance: the role of institutional and geographical proximities in Vancouver’s infection and immunity research collaborations," Industry and Innovation, Taylor & Francis Journals, vol. 22(7), pages 575-596, October.
    5. María Bordons & Javier Aparicio & Rodrigo Costas, 2013. "Heterogeneity of collaboration and its relationship with research impact in a biomedical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 443-466, August.
    6. Patrick Kenekayoro & Kevan Buckley & Mike Thelwall, 2015. "Clustering research group website homepages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2023-2039, March.
    7. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Murgia, Gianluca, 2013. "The collaboration behaviors of scientists in Italy: A field level analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 442-454.
    8. 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.
    9. 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.
    10. 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.
    11. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.
    12. Candelaria Barrios & Esther Flores & M. Ángeles Martínez & Marta Ruiz-Martínez, 2019. "Is there convergence in international research collaboration? An exploration at the country level in the basic and applied science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 631-659, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:rseval:v:19:y:2010:i:1:p:55-65. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/rev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.