Versatile weighting strategies for a citation-based research evaluation model

Del Corso, Gianna M. and Romani, Francesco (2009) Versatile weighting strategies for a citation-based research evaluation model. Technical Report del Dipartimento di Informatica . Università di Pisa, Pisa, IT.

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Abstract

In this paper, we first give a quick review of the most used numerical indicators for evaluating research, and then we present an integrated model for ranking scientific publications together with authors and journals. Our model relies on certain adiacency matrices obtained from the relations of citation, authorship and publication. These matrices are first normalized to obtain stochastic matrices and then are combined together by means of weights to form a suitable irreducible stochastic matrix whose dominant eigenvector provides the ranking. We discuss various strategies for choosing the weights and we show on large synthetic datasets how the choice of a weighting criteria rather than another can change the behavior of our ranking algorithm.

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