An Empirical Approach to Compare the Performance of Heterogeneous Academic Fields
In this paper we propose a Ã¬scaling-basedÃ® empirical approach to assess the scientific performance of heterogeneous academic disciplines. It relies on the idea that if we take into account for their two main sources of heterogeneity, the bibliometric distributions of different academic fields can be superimposed and collapse to a unique master curve by a single scaling parameter. By using data on the scientific production of around 2,500 scholars of the university of Rome Ã¬La SapienzaÃ® from the Web of Science (WoS) over 2004Ã±2008 we i) demonstrate the existence of a master curve; ii) determine the scaling factors which are the cornerstone to compare different academic fields; and iii) show that the master bibliometric distribution follows a Log-normal law.
|Date of creation:||Mar 2012|
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