Scientific Impact of Central and Eastern European Higher Education Lecturers

Sajter, Domagoj

doi:10.2478/ngoe-2021-0014

Abstract

The purpose of this paper is to obtain and analyse data on the higher education lecturers at the 16 largest, state-owned faculties of economics in seven central and eastern European countries (Bosnia and Herzegovina, Croatia, Kosovo, Montenegro, North Macedonia, Serbia, and Slovenia), about their scientific impact and reach. An analysis of their research areas and scientometrics (citations, h-indices) was performed, and aggregate rankings are presented. Data was collected from Google Scholar, Web of Science and Scopus by using proprietary specialized web crawlers (“bots”). The differences among countries and faculties are significant, and institutions should observe good practices from Slovenia, as its faculties are ranked highest. The insights are important for evaluating scientific progress, mobility, and cooperation, rewarding and promotion requirements, accreditations, project and institution funding, and higher education lecturers’ promotion.

References

AAUP. (2015). American Association of University Professors: Policy Documents and Reports (11th ed.). Johns Hopkins University Press Books. Retrieved from https://jhupbooks.press.jhu.edu/title/policy-documents-and-reports
Search in Google Scholar Back to article
Blau, P. M. (1996). The Organization of Academic Work (2nd edition). Routledge. Retrieved from http://journals.sagepub.com/doi/10.1177/0270467696016001112
Search in Google Scholar Back to article
Boyer, E. L. (1997). Scholarship Reconsidered: Priorities of the Professoriate (1st edition). Jossey-Bass.
Search in Google Scholar Back to article
Candan, G. (2020). Efficiency and performance analysis of economics research using hesitant fuzzy AHP and OCRA methods. Scientometrics. https://doi.org/10.1007/s11192-020-03584-510.1007/s11192-020-03584-5
Search in Google Scholar Back to article
Google LLC. (2020, June 16). Google Scholar Metrics Help. https://scholar.google.hr/intl/en/scholar/metrics.html#coverage
Search in Google Scholar Back to article
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572. Retrieved from https://doi.org/10.1073/pnas.050765510210.1073/pnas.0507655102
Search in Google Scholar Back to article
Horvat, V. (2004). Brain drain. Threat to successful transition in South East Europe. Southeast European Politics, 5(1), 76–93.
Search in Google Scholar Back to article
Hu, G., Wang, L., Ni, R., & Liu, W. (2020). Which h-index? An exploration within the Web of Science. Scientometrics, 123(3), 1225–1233. https://doi.org/10.1007/s11192-020-03425-510.1007/s11192-020-03425-5
Search in Google Scholar Back to article
Jurajda, Š., Kozubek, S., Münich, D., & Škoda, S. (2017). Scientific publication performance in post-communist countries: Still lagging far behind. Scientometrics, 112(1), 315–328. https://doi.org/10.1007/s11192-017-2389-810.1007/s11192-017-2389-8
Search in Google Scholar Back to article
Kocher, M. G., Luptacik, M., & Sutter, M. (2006). Measuring productivity of research in economics: A cross-country study using DEA. Socio-Economic Planning Sciences, 40(4), 314–332. https://doi.org/10.1016/j.seps.2005.04.00110.1016/j.seps.2005.04.001
Search in Google Scholar Back to article
Schierup, C.-U. (1995). Former Yugoslavia: Long waves of international migration. In R. Cohen (Ed.), The Cambridge Survey of World Migration (1st ed., pp. 285–288). Cambridge University Press. https://doi.org/10.1017/CBO978051159828910.1017/CBO9780511598289
Search in Google Scholar Back to article
Scopus. (2020a). How Scopus Works. Scopus. Retrieved from https://www.elsevier.com/solutions/scopus/how-scopus-works/content
Search in Google Scholar Back to article
Scopus. (2020b, June 16). How can I use an h-graph? Retrieved from https://service.elsevier.com/app/answers/detail/a_id/11214/c/10546/supporthub/scopus/
Search in Google Scholar Back to article
Straubhaar, T. (2000). International mobility of the highly skilled: Brain gain, brain drain or brain exchange (Working Paper No. 88). HWWA Discussion Paper. Retrieved from https://www.econstor.eu/handle/10419/19463
Search in Google Scholar Back to article
UNESCO. (2020). Science, Technology and Innovation. UNESCO Institute for Statistics. Retrieved from http://data.uis.unesco.org/Index.aspx?DataSetCode=SCN_DS
Search in Google Scholar Back to article
Vogel, R. (2012). The Visible Colleges of Management and Organization Studies: A Bibliometric Analysis of Academic Journals. Organization Studies, 33(8), 1015–1043. https://doi.org/10.1177/017084061244802810.1177/0170840612448028
Search in Google Scholar Back to article
Waltman, L. (2016). A review of the literature on citation impact indicators. Journal of Informetrics, 10(2), 365–391. https://doi.org/10.1016/j.joi.2016.02.00710.1016/j.joi.2016.02.007
Search in Google Scholar Back to article
Web of Science. (2020a). Web of Science Core Collection. Web of Science Core Collection. Retrieved from https://clarivate.com/webofsciencegroup/solutions/web-of-science-core-collection/
Search in Google Scholar Back to article
Web of Science. (2020b, June 16). Web of Science: H-index information. Retrieved from https://support.clarivate.com/ScientificandAcademicResearch/s/article/Web-of-Science-h-index-information?language=en_US
Search in Google Scholar Back to article
Wolszczak-Derlacz, J., & Parteka, A. (2011). Efficiency of European public higher education institutions: A two-stage multicountry approach. Scientometrics, 89(3), 887. https://doi.org/10.1007/s11192-011-0484-910.1007/s11192-011-0484-9
Search in Google Scholar Back to article

Scientific Impact of Central and Eastern European Higher Education Lecturers

Abstract

Paradigm

My account