Open AccessMeasuring scholarly impact in heterogeneous networks
Author(s) -
Yan Erjia,
Ding Ying
Publication year - 2010
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14504701033
Subject(s) - rank (graph theory) , citation , computer science , informetrics , information retrieval , citation analysis , bibliometrics , impact factor , data science , library science , mathematics , political science , combinatorics , law
Abstract This study proposes a new informetric indicator P‐Rank for measuring the status of articles, authors, and journals in heterogeneous scholarly networks. P‐Rank differentiates the weight of each citation based on its citing journals, citing authors, and time of publication. Articles from 16 library and information science (LIS) journals are selected as the dataset. We compare the top 10 lists for authors, journals, and articles based on different parameters of P‐Rank.