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Development of science and education in the Western Balkan countries: competitiveness with the EU

Author

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  • Živan Živković

    (University of Belgrade)

  • Marija Panić

    (University of Belgrade)

Abstract

The paper presents the results achieved in the development of education and science in the Western Balkans (WB) countries, through a comparative analysis of the PISA test results, the universities ranking on the ARWU list, and the citation of researchers (educating students in these countries) in particular fields of science. An analysis of the results achieved by scientific workers from the WB countries was also made, by the number of papers in journals on the SCIe, SSCI, A&HCI and SJR lists in the period 1996–2018, as well as the places of researchers in the citation of researchers from all over the world according to the Stanford model for the period 1996–2018. A development model for WB countries has been proposed, whereby they can acquire measurable competencies as a starting point for equal negotiations for their entry into the EU and gain a respectable position in the world.

Suggested Citation

  • Živan Živković & Marija Panić, 2020. "Development of science and education in the Western Balkan countries: competitiveness with the EU," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2319-2339, September.
  • Handle: RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03554-x
    DOI: 10.1007/s11192-020-03554-x
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    1. A Cecile J W Janssens & Michael Goodman & Kimberly R Powell & Marta Gwinn, 2017. "A critical evaluation of the algorithm behind the Relative Citation Ratio (RCR)," PLOS Biology, Public Library of Science, vol. 15(10), pages 1-5, October.
    2. Daraio, Cinzia & Bonaccorsi, Andrea & Simar, Léopold, 2015. "Rankings and university performance: A conditional multidimensional approach," European Journal of Operational Research, Elsevier, vol. 244(3), pages 918-930.
    3. Carlos Lavalle & Victor Luis de Nicolas, 2017. "Peru and its new challenge in higher education: Towards a research university," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-12, August.
    4. Domingo Docampo, 2013. "Reproducibility of the Shanghai academic ranking of world universities results," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 567-587, February.
    5. Jaroslav Fiala & Jiří J. Mareš & Jaroslav Šesták, 2017. "Reflections on how to evaluate the professional value of scientific papers and their corresponding citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 697-709, July.
    6. B Ian Hutchins & Xin Yuan & James M Anderson & George M Santangelo, 2016. "Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-25, September.
    7. Diana Hicks & Paul Wouters & Ludo Waltman & Sarah de Rijcke & Ismael Rafols, 2015. "Bibliometrics: The Leiden Manifesto for research metrics," Nature, Nature, vol. 520(7548), pages 429-431, April.
    8. Marco Maciel-Monteon & Jorge Limon-Romero & Carlos Gastelum-Acosta & Yolanda Baez-Lopez & Diego Tlapa & Manuel Iván Rodríguez Borbón, 2020. "Improvement project in higher education institutions: A BPEP-based model," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-19, January.
    9. Ann E. Austin, 2002. "Preparing the Next Generation of Faculty," The Journal of Higher Education, Taylor & Francis Journals, vol. 73(1), pages 94-122, January.
    10. Saarela, Mirka & Kärkkäinen, Tommi & Lahtonen, Tommi & Rossi, Tuomo, 2016. "Expert-based versus citation-based ranking of scholarly and scientific publication channels," Journal of Informetrics, Elsevier, vol. 10(3), pages 693-718.
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    3. Alfirević Nikša & Pavičić Jurica & Rendulić Darko, 2023. "A Bibliometric Analysis of Public Business School Scientific Productivity and Impact in South-East Europe (2017-2021)," South East European Journal of Economics and Business, Sciendo, vol. 18(1), pages 27-45, June.

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