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From Risk Measures to Research Measures

  • Marco Frittelli
  • Ilaria Peri
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    In order to evaluate the quality of the scientific research, we introduce a new family of scientific performance measures, called Scientific Research Measures (SRM). Our proposal originates from the more recent developments in the theory of risk measures and is an attempt to resolve the many problems of the existing bibliometric indices. The SRM that we introduce are based on the whole scientist's citation record and are: coherent, as they share the same structural properties; flexible to fit peculiarities of different areas and seniorities; granular, as they allow a more precise comparison between scientists, and inclusive, as they comprehend several popular indices. Another key feature of our SRM is that they are planned to be calibrated to the particular scientific community. We also propose a dual formulation of this problem and explain its relevance in this context.

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    File URL: http://arxiv.org/pdf/1205.1012
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    Paper provided by arXiv.org in its series Papers with number 1205.1012.

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    Date of creation: May 2012
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    Handle: RePEc:arx:papers:1205.1012
    Contact details of provider: Web page: http://arxiv.org/

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    1. Guns, Raf & Rousseau, Ronald, 2009. "Real and rational variants of the h-index and the g-index," Journal of Informetrics, Elsevier, vol. 3(1), pages 64-71.
    2. Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Luigi Montrucchio, 2008. "Risk Measures: Rationality and Diversification," Carlo Alberto Notebooks 100, Collegio Carlo Alberto.
    3. Frances Ruane & Richard S.J. Tol, 2007. "Refined (Successive) H-Indices: An Application To Economics In The Republic Of Ireland," Working Papers FNU-130, Research unit Sustainability and Global Change, Hamburg University, revised Mar 2007.
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