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A study of research evaluation and planning: the University of Ghent

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  • R E de Bruin
  • A Kint
  • M Luwel
  • H F Moed

Abstract

Until recently, little attention was paid in Belgium to the efficiency of the research system. The University of Ghent was the first Belgian university to decide to perform a systematic evaluation of its research performance using bibliometric indicators derived from the Science Citation Index. The results were compared to the world average and to the average impact of the set of journals, in which the Ghent scientists published. Subsequently, these results were discussed with scientists of several evaluated departments to obtain tentative explanations for the bibliometric patterns. The university policy makers can use these results for research planning and the scientists for improving their publication strategy. Copyright , Beech Tree Publishing.

Suggested Citation

  • R E de Bruin & A Kint & M Luwel & H F Moed, 1993. "A study of research evaluation and planning: the University of Ghent," Research Evaluation, Oxford University Press, vol. 3(1), pages 25-41, April.
    • Handle: RePEc:oup:rseval:v:3:y:1993:i:1:p:25-41
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    File URL: http://hdl.handle.net/10.1093/rev/3.1.25
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    Citations

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    Cited by:

    1. R. Srinivasan & Vidyalakshmi Raman & N. Meyyappan & P. Pichappan, 1999. "Assessment of the impact of the journal literature produced by Indian CSIR laboratories using subfield corrected impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(1), pages 81-92, January.
    2. Herranz, Neus & Ruiz-Castillo, Javier, 2012. "Sub-field normalization in the multiplicative case: Average-based citation indicators," Journal of Informetrics, Elsevier, vol. 6(4), pages 543-556.
    3. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S. & van Raan, Anthony F.J., 2011. "Towards a new crown indicator: Some theoretical considerations," Journal of Informetrics, Elsevier, vol. 5(1), pages 37-47.
    4. Marc Luwel, 2000. "A Bibliometric Profile of Flemish Research in Natural, Life and Technical Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 281-302, February.
    5. Noyons, E. C. M. & Luwel, M. & Moed, H. F., 1998. "Assessment of Flemish R&D in the field of information technology: A bibliometric evaluation based on publication and patent data, combined with OECD research input statistics," Research Policy, Elsevier, vol. 27(3), pages 285-300, July.
    6. Lucy Amez, 2012. "Citation measures at the micro level: Influence of publication age, field, and uncitedness," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1459-1465, July.
    7. Paul Donner & Ulrich Schmoch, 2020. "The implicit preference of bibliometrics for basic research," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1411-1419, August.
    8. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2014. "Comparison of the effect of mean-based method and z-score for field normalization of citations at the level of Web of Science subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1679-1693, December.
    9. Xiaojun Hu & Ronald Rousseau, 2009. "A comparative study of the difference in research performance in biomedical fields among selected Western and Asian countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 475-491, November.
    10. Pislyakov, Vladimir, 2022. "On some properties of medians, percentiles, baselines, and thresholds in empirical bibliometric analysis," Journal of Informetrics, Elsevier, vol. 16(4).
    11. Ludo Waltman & Nees Jan Eck & Thed N. Leeuwen & Martijn S. Visser & Anthony F. J. Raan, 2011. "Towards a new crown indicator: an empirical analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 467-481, June.
    12. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).
    13. Zheng Xie & Yanwu Li & Zhemin Li, 2020. "Assessing and predicting the quality of research master’s theses: an application of scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 953-972, August.

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