A multiple-link, mutually reinforced journal-ranking model to measure the prestige of journals
Abstract
Important journals usually guide the research and development directions in academic circles. Therefore, it is necessary to find the important journals among a number of academic journals. This study presents a model named the multiple-link, mutually reinforced journal-ranking (MLMRJR) model based on the PageRank and the Hyperlink-Induced Topics Search algorithms that considers not only the quantity and quality of citations in intra-networks,...
Paper Details
Title
A multiple-link, mutually reinforced journal-ranking model to measure the prestige of journals
Published Date
Feb 2, 2017
Journal
Volume
111
Issue
1
Pages
521 - 542
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