Skip to main content
Log in

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

  • Published:
Scientometrics Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Abramo, G., D’Angelo, C. A., & Di Costa, F. (2009). Research collaboration and productivity: Is there correlation? Higher Education,57(2), 155–171. https://doi.org/10.1007/s10734-008-9139-z.

    Article  Google Scholar 

  • Agasisti, T., Shibanova, E., Platonova, D., & Lisyutkin, M. (2018). The Russian excellence initiative for higher education: An econometric evaluation of short-term results. Higher School of Economics Research Paper No. WP BRP, 201.

  • Aksnes, D. W., & Sivertsen, G. (2019). A criteria-based assessment of the coverage of scopus and web of science. Journal of Data and Information Science,4(1), 1–21.

    Article  Google Scholar 

  • Altbach, P. G., & Salmi, J. (Eds.). (2011). The road to academic excellence: The making of world-class research universities. Washington: The World Bank.

    Google Scholar 

  • Artamonova, Yu. D. & Demchuk, A. (2012). Razvitie akademicheskoy mobilnosti v vuzakh Rossii i FGOS [The development of academic mobility in russian HEIs and the new FGOS]. Vysshee obrazovanie v Rossii [Higher Education in Russia], 12, 86–95. (In Russ.)

  • Barnett, G. A., Park, H. W., Jiang, K., Tang, C., & Aguillo, I. F. (2014). A multi-level network analysis of web-citations among the world’s universities. Scientometrics,99(1), 5–26.

    Article  Google Scholar 

  • Batagelj, V., Ferligoj, A., & Doreian, P. (1992). Direct and indirect methods for structural equivalence. Social Networks, 14(1-2), 63–90.

    Article  Google Scholar 

  • Bikard, M., Murray, F., & Gans, J. S. (2015). Exploring trade-offs in the organization of scientific work: Collaboration and scientific reward. Management Science,61(7), 1473–1495.

    Article  Google Scholar 

  • Corneil, D. G., Dragan, F. F., & Köhler, E. (2003). On the power of BFS to determine a graph’s diameter. Networks: An International Journal,42(4), 209–222.

    Article  MathSciNet  MATH  Google Scholar 

  • Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems,1695(5), 1–9.

    Google Scholar 

  • Cugmas, M., DeLay, D., Žiberna, A., & Ferligoj, A. (2020). Symmetric core-cohesive blockmodel in preschool children’s interaction networks. PLoS ONE,15(1), e0226801.

    Article  Google Scholar 

  • Doreian, P., Batagelj, V., & Ferligoj, A. (2005). Generalized blockmodeling (Vol. 25). Cambridge: Cambridge University Press.

    MATH  Google Scholar 

  • Elango, B., Rajendran, P., & Bornmann, L. (2017). A scientometric analysis of international collaboration and growth of literature at the macro level. Malaysian Journal of Library & Information Science,20(2), 41–50.

    Google Scholar 

  • Ferligoj, A., Kronegger, L., Mali, F., Snijders, T. A., & Doreian, P. (2015). Scientific collaboration dynamics in a national scientific system. Scientometrics,104(3), 985–1012.

    Article  Google Scholar 

  • Guskov, A. E. (2018). Boosting research productivity in top Russian universities: The circumstances of breakthrough. Scientometrics. https://doi.org/10.1007/s11192-018-2890-8.

    Article  Google Scholar 

  • Iglič, H., Doreian, P., Kronegger, L., & Ferligoj, A. (2017). With whom do researchers collaborate and why? Scientometrics,112(1), 153–174.

    Article  Google Scholar 

  • Ivanov, V. V., Markusova, V. A., & Mindeli, L. E. (2016). Government investments and the publishing activity of higher educational institutions: Bibliometric analysis. Herald of the Russian Academy of Sciences,86(4), 314–321. https://doi.org/10.1134/S1019331616040031.

    Article  Google Scholar 

  • Kronegger, L., Mali, F., Ferligoj, A., & Doreian, P. (2012). Collaboration structures in Slovenian scientific communities. Scientometrics,90(2), 631–647.

    Article  Google Scholar 

  • Larivière, V., Gingras, Y., Sugimoto, C. R., & Tsou, A. (2015). Team size matters: Collaboration and scientific impact since 1900. Journal of the Association for Information Science and Technology,66(7), 1323–1332.

    Article  Google Scholar 

  • Leahey, E. (2016). From sole investigator to team scientist: Trends in the practice and study of research collaboration. Annual Review of Sociology,42, 81–100.

    Article  Google Scholar 

  • Lorrain, F., & White, H. C. (1971). Structural equivalence of individuals in social networks. The Journal of Mathematical Sociology,1(1), 49–80.

    Article  Google Scholar 

  • Matveeva, N., Sterligov, I., & Yudkevich, M. (2019). The Russian University Excellence Initiative: Is It Really Excellence that Is Promoted? Higher School of Economics Research Paper No. WP BRP, 49.

  • Mazov, N. A., & Gureev, V. N. (2017). Review bibliometric analysis of the flow of publications by Novosibirsk State University in collaboration with the RAS Siberian branch. Herald of the Russian Academy of Sciences,87(5), 445–453. https://doi.org/10.1134/S1019331617050057.

    Article  Google Scholar 

  • Möller, T., Schmidt, M., & Hornbostel, S. (2016). Assessing the effects of the German excellence initiative with bibliometric methods. Scientometrics,109(3), 2217–2239. https://doi.org/10.1007/s11192-016-2090-3.

    Article  Google Scholar 

  • Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of web of science and scopus: A comparative analysis. Scientometrics,106(1), 213–228.

    Article  Google Scholar 

  • Newman, M. E., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E,69(2), 026113.

    Article  Google Scholar 

  • Ni, P., & An, X. (2018). Relationship between international collaboration papers and their citations from an economic perspective. Scientometrics,116(2), 863–877.

    Article  Google Scholar 

  • Pislyakov, V., & Shukshina, E. (2014). Measuring excellence in Russia: Highly cited papers, leading institutions, patterns of national and international collaboration. Journal of the Association for Information Science and Technology,65(11), 2321–2330. https://doi.org/10.1002/asi.23093.

    Article  Google Scholar 

  • Poldin, O., Matveeva, N., Sterligov, I., & Yudkevich, M. (2017). Publication activities of Russian Universities: The effects of Project 5–100. Educational Studies Moscow,2(2017), 59.

    Google Scholar 

  • Ponomariov, B., & Boardman, C. (2016). What is co-authorship? Scientometrics,109(3), 1939–1963.

    Article  Google Scholar 

  • R Core Team. (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved from https://www.R-project.org/.

  • Rawlings, C. M., & McFarland, D. A. (2011). Influence flows in the academy: Using affiliation networks to assess peer effects among researchers. Social Science Research,40(3), 1001–1017.

    Article  Google Scholar 

  • Ribeiro, L. C., Rapini, M. S., Silva, L. A., & Albuquerque, E. M. (2018). Growth patterns of the network of international collaboration in science. Scientometrics,114(1), 159–179.

    Article  Google Scholar 

  • Ryazantsev, S. V., Rostovskaya, T. K., Skorobgatova, V. I., & Bezverbny, V. A. (2019). International academic mobility in Russia: Trends, types, state stimulation. Economy of Region,15(2), 420–435.

    Article  Google Scholar 

  • Shin, J. C. (2009). Building world-class research university: The brain Korea 21 project. Higher Education,58(5), 669–688.

    Article  Google Scholar 

  • Sonnenwald, D. H. (2007). Scientific collaboration. Annual Review of Information Science and Technology,41, 643–681. https://doi.org/10.1002/aris.2007.1440410121.

    Article  Google Scholar 

  • Turko, T., Bakhturin, G., Bagan, V., Poloskov, S., & Gudym, D. (2016). Influence of the program “5–top 100” on the publication activity of Russian universities. Scientometrics,109(2), 769–782.

    Article  Google Scholar 

  • Wagner, C. S., Park, H. W., & Leydesdorff, L. (2015). The continuing growth of global cooperation networks in research: A conundrum for national governments. PLoS ONE,10(7), e0131816.

    Article  Google Scholar 

  • Yonezawa, A., & Shimmi, Y. (2015). Internationalization: challenges for top universities and government policies in Japan. Higher Education,70(2), 173–186.

    Article  Google Scholar 

  • Zhang, H., Patton, D., & Kenney, M. (2013). Building global-class universities: Assessing the impact of the 985 Project. Research Policy,42(3), 765–775.

    Article  Google Scholar 

  • Zhang, L., & Glänzel, W. (2012). Proceeding papers in journals versus the “regular” journal publications. Journal of Informetrics,6(1), 88–96.

    Article  Google Scholar 

Download references

Acknowledgements

The authors appreciate the support of Vladimir Batagelj and Maria Yudkevich for their advice and comments. The article was prepared within the framework of the HSE University Basic Research Program and funded by the Russian Academic Excellence Project 5-100. The work of Anuška Ferligoj was partly supported by Slovenian Research Agency research program P5-0168.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nataliya Matveeva.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 231 kb)

Appendix

Appendix

See Figs. 9, 10 and Tables 5 and 6.

Fig. 9
figure 9

Total number of publications written in co-authorship by research area—with Russian organizations—with foreign organizations—with the RAS

Fig. 10
figure 10

Blockmodel structure of the 30 Russian universities between 2010 and 2016

Table 5 Comparative indicators of the treatment and control group universities
Table 6 Composition of the clusters from core to periphery in 2010 and 2016

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Matveeva, N., Ferligoj, A. Scientific collaboration in Russian universities before and after the excellence initiative Project 5-100. Scientometrics 124, 2383–2407 (2020). https://doi.org/10.1007/s11192-020-03602-6

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-020-03602-6

Keywords

Mathematics Subject Classification

JEL Classification

Navigation