PR-Index: Using the h-Index and PageRank for Determining True Impact

被引:41
作者
Gao, Chao [1 ]
Wang, Zhen [2 ]
Li, Xianghua [1 ]
Zhang, Zili [1 ,3 ]
Zeng, Wei [1 ]
机构
[1] Southwest Univ, Coll Comp & Informat Sci, Chongqing, Peoples R China
[2] Kyushu Univ, Interdisciplinary Grad Sch Engn Sci, Fukuoka 8168580, Japan
[3] Deakin Univ, Sch Informat Technol, Locked Bag 20000, Geelong, Vic 3220, Australia
基金
中国国家自然科学基金;
关键词
BIBLIOGRAPHIC NETWORKS; CITATION NETWORKS; ALGORITHM;
D O I
10.1371/journal.pone.0161755
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Several technical indicators have been proposed to assess the impact of authors and institutions. Here, we combine the h-index and the PageRank algorithm to do away with some of the individual limitations of these two indices. Most importantly, we aim to take into account value differences between citations-evaluating the citation sources by defining the h-index using the PageRank score rather than with citations. The resulting PR-index is then constructed by evaluating source popularity as well as the source publication authority. Extensive tests on available collections data (i.e., Microsoft Academic Search and benchmarks on the SIGKDD innovation award) show that the PR-index provides a more balanced impact measure than many existing indices. Due to its simplicity and similarity to the popular h-index, the PR-index may thus become a welcome addition to the technical indices already in use. Moreover, growth dynamics prior to the SIGKDD innovation award indicate that the PR-index might have notable predictive power.
引用
收藏
页数:13
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