@misc{10481/21993,
year = {2012},
month = {10},
url = {http://hdl.handle.net/10481/21993},
abstract = {This paper presents a new method for comparing universities based on information theoretic measures. The research output of each academic institution is represented statistically by an impact-factor histogram. To this aim, for each academic institution we compute the probability of occurrence of a publication with impact factor in different intervals. Assuming the probabilities associated with a pair of academic institutions our objective is to measure the Information Gain between them. To do so, we develop an axiomatic characterization of relative information for predicting institution-institution dissimilarity. We use the Spanish university system as our scenario to test the proposed methodology for benchmarking three universities with the rest as a case study. For each case we use different scientific fields such as Information and Communication Technologies, Medicine & Pharmacy, and Economics & Business as we believe comparisons must take into account their disciplinary context. Finally we validate the Information Gain values obtained for each case with previous studies.},
keywords = {Information gain},
keywords = {Institution-institution similarity},
keywords = {Impact factor},
keywords = {Information theoretic measure},
keywords = {Information conservation constraint},
keywords = {Benchmarking research output},
keywords = {Universities},
keywords = {Bibliometric indicators},
keywords = {Research evaluation},
keywords = {Research Policy},
keywords = {Higher Education},
keywords = {Spain},
title = {Benchmarking research performance at the University. Level with information theoretic measures},
author = {García, J. A. and Rodríguez Sánchez, Rosa María and Fernández Valdivia, Joaquín and Robinson García, Nicolás and Torres Salinas, Daniel},
}