We define a modified Page Rank algorithm and the PR-score to measure the influence of a single article by using its local co-citation network. We also calculate the reaching probability and RP-score of a paper starting at an arbitrary article of its co-citation network for the same purpose. We highlight the advantages of our methods by applying them on the celebrated paper of Jeno Egerváry that is underrated by the standard indices.
|Number of pages||10|
|Journal||Annales Mathematicae et Informaticae|
|Publication status||Published - Jan 1 2015|
- Co-citation networks
- Ranking algorithms
ASJC Scopus subject areas
- Computer Science(all)