A Bibliometric Index Based on Collaboration Distances

this abstraction, we present a new index, the c-index, in which the evaluated objects are the citations received (by a paper, an author, a research group, a journal, etc.), the quality of a citation is the collaboration distance between the authors of the cited and the citing papers when the citation appears, and the sentencing line takes a slope between 0 and . To mitigate the small world effect we suggest taking 1/4. As a result, the new index counts only those citations which are significant enough, where significance is proportional to the collaboration distance between the cited and the citing authors. While an h-index x means that there are x papers with at least x citations each and the rest of papers with at most x citations, a c-index x means that there are x citations (regardless of the papers to which these citations refer) at collaboration distance at least x and the rest of citations at collaboration distance at most x. If we want to differentiate between recurrent co...

• Type: Journal
• Year: 2010
• Where: MDAI
• Authors: Maria Bras-Amorós, Josep Domingo-Ferrer, Vicenç Torra
• Keywords: Artificial Intelligence, Collaboration Distance, MDAI 2010, Small World Effect, Springer-Verlag Berlin Heidelberg