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Scientometric analysis of relative performance in a key university in Romania

Author

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  • Radu Silaghi-Dumitrescu

    (Babes-Bolyai University)

  • Augusta Sabau

    (Babes-Bolyai University)

Abstract

A scientometric analysis of the Babeş-Bolyai University in Romania is provided, highlighting the strong and the weak points with respect to a range of leading international universities and referencing to some extent to nation-wide data from several countries. Taken into account are such items as total number of publications, analyses per subject area or per research field, number of citations, types of publications, Hirsch indexes, and books. Internationally, chemistry, physics, mathematics, computer science, religion, area studies, geology, paleontology, and public administration are identified as the most active areas. Nationally, a number of additional strong points are identified, such as psychology, history, and environmental sciences. The percentage of researchers with reasonably high activity (e.g., at least ~ one publication per year as indexed in major databases) is relatively low (~10 %), and the percentage with reasonably high international competitiveness (based on citation counts, number of publications, books indexed in international libraries) is at only ~2 %. The decisive factor controlling an exponential increase in publications since ~2000–2004 appears to have been a conservatively managed exponential increase of the national GDP and implicitly of the research budgets.

Suggested Citation

  • Radu Silaghi-Dumitrescu & Augusta Sabau, 2014. "Scientometric analysis of relative performance in a key university in Romania," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 463-474, May.
    • Handle: RePEc:spr:scient:v:99:y:2014:i:2:d:10.1007_s11192-014-1232-8
    DOI: 10.1007/s11192-014-1232-8
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    References listed on IDEAS

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    7. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
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