The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Applications of Page Ranking in P Systems
Membrane Computing
PageRank for ranking authors in co-citation networks
Journal of the American Society for Information Science and Technology
Ten good reasons to use the EigenfactorTM metrics
Information Processing and Management: an International Journal
Weighted citation: An indicator of an article's prestige
Journal of the American Society for Information Science and Technology
Discovering author impact: A PageRank perspective
Information Processing and Management: an International Journal
Citation graph based ranking in Invenio
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Measuring scholarly impact in heterogeneous networks
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
f-Value: measuring an article's scientific impact
Scientometrics
An evolutionary PageRank approach for journal ranking with expert judgements
Journal of Information Science
An approach to identify influential building blocks and linkages in an information resource network
Decision Support Systems
Journal of the American Society for Information Science and Technology
A tree-network model for mining short message services seed users and its empirical analysis
Knowledge-Based Systems
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The paper attempts to provide an alternative method for measuring the importance of scientific papers based on the Google's PageRank. The method is a meaningful extension of the common integer counting of citations and is then experimented for bringing PageRank to the citation analysis in a large citation network. It offers a more integrated picture of the publications' influence in a specific field. We firstly calculate the PageRanks of scientific papers. The distributional characteristics and comparison with the traditionally used number of citations are then analyzed in detail. Furthermore, the PageRank is implemented in the evaluation of research influence for several countries in the field of Biochemistry and Molecular Biology during the time period of 2000-2005. Finally, some advantages of bringing PageRank to the citation analysis are concluded.