Journal article

Credit allocation for research institutes

  • Wang, J.-P. Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai, PRC
  • Guo, Q. Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai, PRC
  • Yang, K. Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai, PRC
  • Han, J.-T. Data Science and Cloud Service Centre, Shanghai University of Finance and Economics, Shanghai, PRC
  • Liu, Jian-Guo Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai, PRC - Data Science and Cloud Service Centre, Shanghai University of Finance and Economics, Shanghai, PRC - Department of Physics, University of Fribourg, Switzerland
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    2017
Published in:
  • EPL (Europhysics Letters). - 2017, vol. 118, no. 4, p. 48001
English It is a challenging work to assess research performance of multiple institutes. Considering that it is unfair to average the credit to the institutes which is in the different order from a paper, in this paper, we present a credit allocation method (CAM) with a weighted order coefficient for multiple institutes. The results for the APS dataset with 18987 institutes show that top-ranked institutes obtained by the CAM method correspond to well-known universities or research labs with high reputation in physics. Moreover, we evaluate the performance of the CAM method when citation links are added or rewired randomly quantified by the Kendall's Tau and Jaccard index. The experimental results indicate that the CAM method has better performance in robustness compared with the total number of citations ( TC ) method and Shen's method. Finally, we give the first 20 Chinese universities in physics obtained by the CAM method. However, this method is valid for any other branch of sciences, not just for physics. The proposed method also provides universities and policy makers an effective tool to quantify and balance the academic performance of university.
Faculty
Faculté des sciences et de médecine
Department
Département de Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/306100
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