, Volume 112, Issue 1, pp 315–328 | Cite as

Scientific publication performance in post-communist countries: still lagging far behind

  • Štěpán Jurajda
  • Stanislav Kozubek
  • Daniel MünichEmail author
  • Samuel Škoda


We present a bibliometric comparison of publication performance in 226 scientific disciplines in the Web of Science (WoS) for six post-communist EU member states relative to six EU-15 countries of a comparable size. We compare not only overall country-level publication counts, but also high quality publication output where publication quality is inferred from the journal Article Influence Scores. As of 2010–2014, post-communist countries are still lagging far behind their EU counterparts, with the exception of a few scientific disciplines mainly in Slovenia. Moreover, research in post-communist countries tends to focus relatively more on quantity rather than quality. The relative publication performance of post-communist countries in the WoS is strongest in natural sciences and engineering. Future research is needed to reveal the underlying causes of these performance differences, which may include funding and productivity gaps, the historical legacy of the communist ideology, and Web of Science coverage differences.


Bibliometrics National comparison Scientometric indicators Article Influence Score Web of Science Post-communist Europe 

Mathematics Subject Classification


JEL Classification

I23 I29 



This study was completed with the support of the Czech Academy of Sciences, as part of its Strategy AV21. The authors wish to thank J. Kovařík for his help in obtaining information from the WoS, and two anonymous referees for valuable suggestions.


  1. Abbott, A., & Schiermeier, Q. (2014). Central Europe up close. Nature, 515(7525), 22–25.CrossRefGoogle Scholar
  2. Abramo, G., & D’Angelo, C. A. (2014a). Assessing national strengths and weaknesses in research fields. Journal of Informetrics, 8(3), 766–775.CrossRefGoogle Scholar
  3. Abramo, G., & D’Angelo, C. A. (2014b). How do you define and measure research productivity? Scientometrics, 101(2), 1129–1144.CrossRefGoogle Scholar
  4. Abramo, G., D’Angelo, C. A., & Di Costa, F. (2008). Assessment of sectoral aggregation distortion in research productivity measurements. Research Evaluation, 17(2), 111–121.CrossRefGoogle Scholar
  5. Abramo, G., D’Angelo, C. A., & Viel, F. (2011). The field-standardized average impact of national research systems compared to world average: the case of Italy. Scientometrics, 88(2), 599–615.CrossRefGoogle Scholar
  6. Bentley, P. J. (2015). Cross-country differences in publishing productivity of academics in research universities. Scientometrics, 102(1), 865–883.CrossRefGoogle Scholar
  7. Bornmann, L., & Leydesdorff, L. (2013). Macro-indicators of citation impacts of six prolific countries: InCites data and the statistical significance of trends. PLoS ONE. doi: 10.1371/journal.pone.0056768.Google Scholar
  8. Bornmann, L., Leydesdorff, L., & Wang, J. (2014). How to improve the prediction based on citation impact percentiles for years shortly after the publication date? Journal of Informetrics, 8(1), 175–180.CrossRefGoogle Scholar
  9. Boyle, G. (2008). Pay peanuts and get monkeys? Evidence from academia. The B.E. Journal of Economic Analysis & Policy, 8(1), 1–24.CrossRefGoogle Scholar
  10. Cimini, G., Gabrielli, A., & Labini, F. S. (2014). The scientific competitiveness of nations. PLoS ONE, 9(12), e113470. doi: 10.1371/journal.pone.0113470.CrossRefGoogle Scholar
  11. Fiala, D., & Willett, P. (2015). Computer science in Eastern Europe 1989–2014: A bibliometric study. Aslib Journal of Information Management, 67(5), 526–541.CrossRefGoogle Scholar
  12. Garfield, E. (1979). Is citation analysis a legitimate evaluation tool? Scientometrics, 1(4), 359–375.CrossRefGoogle Scholar
  13. Gorraiz, J., Reimann, R., & Gumpenberger, C. (2012). Key factors and considerations in the assessment of international collaboration: A case study for Austria and six countries. Scientometrics, 91(2), 417–433.CrossRefGoogle Scholar
  14. Jonkers, K., & Zacharewicz, T. (2016). Research performance based funding systems: A comparative assessment (No. JRC101043). Institute for Prospective Technological Studies, Joint Research Centre.Google Scholar
  15. King, D. A. (2004). The scientific impact of nations. Nature, 430(6997), 311–316.CrossRefGoogle Scholar
  16. Kozak, M., Bornmann, L., & Leydesdorff, L. (2015). How have the Eastern European countries of the former Warsaw Pact developed since 1990? A bibliometric study. Scientometrics, 102(2), 1101–1117.CrossRefGoogle Scholar
  17. Kozlowski, J., Radosevic, S., & Ircha, D. (1999). History matters: The inherited disciplinary structure of the post-communist science in countries of central and Eastern Europe and its restructuring. Scientometrics, 45(1), 137–166.CrossRefGoogle Scholar
  18. Makkonen, T., & Mitze, T. (2016). Scientific collaboration between ‘old’and ‘new’member states: Did joining the European Union make a difference? Scientometrics, 106(3), 1193–1215.CrossRefGoogle Scholar
  19. May, R. M. (1997). The scientific wealth of nations. Science, 275(5301), 793–796.CrossRefGoogle Scholar
  20. Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1–19.CrossRefzbMATHGoogle Scholar
  21. Moed, H. F., Burger, W. J. M., Frankfort, J. G., & Van Raan, A. F. (1985). The use of bibliometric data for the measurement of university research performance. Research Policy, 14(3), 131–149.CrossRefGoogle Scholar
  22. Must, Ü. (2006). “New” countries in Europe-Research, development and innovation strategies vs bibliometric data. Scientometrics, 66(2), 241–248.CrossRefGoogle Scholar
  23. Pajić, D. (2015). Globalization of the social sciences in Eastern Europe: Genuine breakthrough or a slippery slope of the research evaluation practice? Scientometrics, 102(3), 2131–2150.CrossRefGoogle Scholar
  24. Radosevic, S., & Yoruk, E. (2014). Are there global shifts in the world science base? Analysing the catching up and falling behind of world regions. Scientometrics, 101(3), 1897–1924.CrossRefGoogle Scholar
  25. Shleifer, A., & Treisman, D. (2014). Normal countries: The East 25 years after communism. Foreign Affairs, 93(6), 92–103.Google Scholar
  26. Smith, M. J., Weinberger, C., Bruna, E. M., & Allesina, S. (2014). The scientific impact of nations: Journal placement and citation performance. PLoS ONE, 9(10), e109195.CrossRefGoogle Scholar
  27. Vanecek, J. (2008). Bibliometric analysis of the Czech research publications from 1994 to 2005. Scientometrics, 77, 345–360.CrossRefGoogle Scholar
  28. Vanecek, J. (2014). The effect of performance-based research funding on output of R&D results in the Czech Republic. Scientometrics, 98(1), 657–681.CrossRefGoogle Scholar
  29. Vinkler, P. (2008). Correlation between the structure of scientific research, scientometric indicators and GDP in EU and non-EU countries. Scientometrics, 74(2), 237–254.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2017

Authors and Affiliations

  • Štěpán Jurajda
    • 1
  • Stanislav Kozubek
    • 2
  • Daniel Münich
    • 1
    Email author
  • Samuel Škoda
    • 1
  1. 1.CERGE-EI, a joint workplace of Charles University and the Economics Institute of the Czech Academy of SciencesPragueCzech Republic
  2. 2.Institute of Biophysics of the Czech Academy of SciencesBrnoCzech Republic

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