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Scientific collaboration in Russian universities before and after the excellence initiative Project 5-100

Author

Listed:
  • Nataliya Matveeva

    (National Research University Higher School of Economics)

  • Anuška Ferligoj

    (National Research University Higher School of Economics
    University of Ljubljana)

Abstract

Changes in patterns of collaboration between Russian universities after the commencement of the Russian university excellence initiative (Project 5-100) are studied in this paper. While this project aimed to make leading Russian universities more globally competitive and improve their research productivity, it also happened to increase their cooperation. An analysis of affiliations and the co-authorship networks was conducted to explore scientific collaborations between and within the participating universities. Such analysis facilitates the investigation of the number of collaborations with other organizations, both domestic and international cooperation, and disciplinary differences. By analyzing the co-authorship networks, the position of universities in the academic network and the structure of collaborations among the participants were examined. A sample of 30 Russian universities, including participants in Project 5-100 and a control group of institutions with similar characteristics, was used. After joining the project, the participating universities increased both their cooperation with each other as well as with foreign universities and research institutions of the Russian Academy of Sciences, especially in the high-quality segment. At the same time, the collaboration patterns of non-participating universities did not change significantly. The centrality of Project 5-100 universities in the global academic network has increased, along with their visibility and coupling in the national network. The historical division between university and academic sectors has diminished, while the participating universities have started to play a more important role in knowledge production within the country.

Suggested Citation

  • Nataliya Matveeva & Anuška Ferligoj, 2020. "Scientific collaboration in Russian universities before and after the excellence initiative Project 5-100," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2383-2407, September.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03602-6
    DOI: 10.1007/s11192-020-03602-6
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    References listed on IDEAS

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    1. Philip G. Altbach & Jamil Salmi, 2011. "The Road to Academic Excellence : The Making of World-Class Research Universities [El camino hacia la excelencia académica : la constitución de universidades de investigación de rango mundial]," World Bank Publications - Books, The World Bank Group, number 2357, December.
    2. Leonardo Costa Ribeiro & Márcia Siqueira Rapini & Leandro Alves Silva & Eduardo Motta Albuquerque, 2018. "Growth patterns of the network of international collaboration in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 159-179, January.
    3. Branco Ponomariov & Craig Boardman, 2016. "What is co-authorship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1939-1963, December.
    4. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    5. Tommaso Agasisti & Ekaterina Shibanova & Daria Platonova & Mikhail Lisyutkin, 2018. "The Russian Excellence Initiative For Higher Education: An Econometric Evaluation Of Short-Term Results," HSE Working papers WP BRP 201/EC/2018, National Research University Higher School of Economics.
    6. Oleg Poldin & Nataliya Matveeva & Ivan Sterligov & Mariya Yudkevich, 2017. "Publication Activities of Russian Universities: The Effects of Project 5-100," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 5-100.
    7. Marjan Cugmas & Dawn DeLay & Aleš Žiberna & Anuška Ferligoj, 2020. "Symmetric core-cohesive blockmodel in preschool children’s interaction networks," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-19, January.
    8. Hajdeja Iglič & Patrick Doreian & Luka Kronegger & Anuška Ferligoj, 2017. "With whom do researchers collaborate and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 153-174, July.
    9. Vladimir Pislyakov & Elena Shukshina, 2014. "Measuring excellence in Russia: Highly cited papers, leading institutions, patterns of national and international collaboration," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(11), pages 2321-2330, November.
    10. Nataliya Matveeva & Ivan Sterligov & Maria Yudkevich, 2019. "The Russian University Excellence Initiative: Is It Really Excellence That Is Promoted?," HSE Working papers WP BRP 49/EDU/2019, National Research University Higher School of Economics.
    11. Luka Kronegger & Franc Mali & Anuška Ferligoj & Patrick Doreian, 2012. "Collaboration structures in Slovenian scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 631-647, February.
    12. Andrey E. Guskov & Denis V. Kosyakov & Irina V. Selivanova, 2018. "Boosting research productivity in top Russian universities: the circumstances of breakthrough," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1053-1080, November.
    13. Ping Ni & Xinying An, 2018. "Relationship between international collaboration papers and their citations from an economic perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 863-877, August.
    14. Zhang, Lin & Glänzel, Wolfgang, 2012. "Proceeding papers in journals versus the “regular” journal publications," Journal of Informetrics, Elsevier, vol. 6(1), pages 88-96.
    15. Vincent Larivière & Yves Gingras & Cassidy R. Sugimoto & Andrew Tsou, 2015. "Team size matters: Collaboration and scientific impact since 1900," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1323-1332, July.
    16. Michaël Bikard & Fiona Murray & Joshua S. Gans, 2015. "Exploring Trade-offs in the Organization of Scientific Work: Collaboration and Scientific Reward," Management Science, INFORMS, vol. 61(7), pages 1473-1495, July.
    17. George A. Barnett & Han Woo Park & Ke Jiang & Chuan Tang & Isidro F. Aguillo, 2014. "A multi-level network analysis of web-citations among the world’s universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 5-26, April.
    18. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.
    19. Zhang, Han & Patton, Donald & Kenney, Martin, 2013. "Building global-class universities: Assessing the impact of the 985 Project," Research Policy, Elsevier, vol. 42(3), pages 765-775.
    20. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
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    Cited by:

    1. Nataliya Matveeva & Ivan Sterligov & Andrey Lovakov, 2022. "International scientific collaboration of post-Soviet countries: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1583-1607, March.
    2. Hanna Hottenrott & Michael E. Rose & Cornelia Lawson, 2021. "The rise of multiple institutional affiliations in academia," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(8), pages 1039-1058, August.
    3. Hanna Hottenrott & Cornelia Lawson, 2022. "What is behind multiple institutional affiliations in academia?," Science and Public Policy, Oxford University Press, vol. 49(3), pages 382-402.
    4. Fan, Lingxu & Guo, Lei & Wang, Xinhua & Xu, Liancheng & Liu, Fangai, 2022. "Does the author’s collaboration mode lead to papers’ different citation impacts? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 16(4).

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    More about this item

    Keywords

    Social network analysis; Scientific collaboration; University excellence initiative; Co-authorship network; Blockmodeling; University; Russia;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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