Various journal-ranking algorithms have been proposed, most of them based on citation counts. This article introduces a new approach based on the reciprocal direct influence of all pairs of a list of journals. The proposed method is assessed against an opinion-based ranking published in 2005 for 25 operations research and management science (OR/MS) journals, and seven existing approaches based on citation counts. The results show a strong correlation with the opinion-based ranking.
Fabien Cornillier, Vincent Charles, Measuring the attractiveness of academic journals: A direct influence aggregation model, Operations Research Letters, Volume 43, Issue 2, March 2015, Pages 172-176, ISSN 0167-6377, http://dx.doi.org/10.1016/j.orl.2015.01.007.