A Support for Classifying Scientific Papers in a University Department

Measuring the productivity of the research community is a challenging and relevant issue at the national and institutional levels.To this aim several lists which classify scientific journals have been provided by both public and private companies according to specific motivations.The existence of a multiplicity of lists from one hand, the always increasing number of journals and the variegate publishing strategies of the single researchers from the other one, pose the problem of the definition and assessment of the set of scientific journals that maximally cover the potential heterogeneous research domains.This work proposes a procedure for merging the classifications provided by competing lists of journal from different institutions, solving indeterminacies and missing attributions.