One component of research assessment has been, and will continue to be
, the explicit (or implicit) ranking of journals. Despite the obvious
limitations, citations data are generally used to generate rankings as
they provide one of the few quantifiable aspects of a journal's perfo
rmance. Previous ranking schemes based on multiple performance measure
s constructed from citations data, such as the 'Diamond Core', can be
criticised for their use of 'arbitrary' weighting schemes to generate
their final rankings. This paper addresses this problem by applying ra
nking techniques, namely, Data Envelopment Analysis and Integer Progra
mming, which systematically allow for multiple performance measures.