Abstract
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 methods based on citation counts. The results show a strong correlation with the opinion-based ranking.
| Original language | Spanish |
|---|---|
| Pages (from-to) | 172-176 |
| Number of pages | 5 |
| Journal | Operations Research Letters |
| Volume | 43 |
| State | Published - 1 Jan 2015 |