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

作者信息

Gao Chao, Wang Zhen, Li Xianghua, Zhang Zili, Zeng Wei

机构信息

College of Computer and Information Science, Southwest University, Chongqing, China.

Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka, 816-8580, Japan.

出版信息

PLoS One. 2016 Sep 14;11(9):e0161755. doi: 10.1371/journal.pone.0161755. eCollection 2016.


DOI:10.1371/journal.pone.0161755
PMID:27627767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5023123/
Abstract

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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/735ee8c96bb4/pone.0161755.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/36cf3779f1ba/pone.0161755.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/ed8c41a6f475/pone.0161755.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/427413d4ab54/pone.0161755.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/735ee8c96bb4/pone.0161755.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/36cf3779f1ba/pone.0161755.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/ed8c41a6f475/pone.0161755.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/427413d4ab54/pone.0161755.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c97/5023123/735ee8c96bb4/pone.0161755.g004.jpg

相似文献

[1]
PR-Index: Using the h-Index and PageRank for Determining True Impact.

PLoS One. 2016-9-14

[2]
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[3]
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[8]
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[9]
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[10]
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[1]
Scientometrics and academia.

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[2]
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Medicine (Baltimore). 2022-9-23

[3]
Evaluating the impact of citations of articles based on knowledge flow patterns hidden in the citations.

PLoS One. 2019-11-21

[4]
Comprehensive Researcher Achievement Model (CRAM): a framework for measuring researcher achievement, impact and influence derived from a systematic literature review of metrics and models.

BMJ Open. 2019-3-30

[5]
A novel bibliometric index with a simple geometric interpretation.

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[6]
Researcher and Author Impact Metrics: Variety, Value, and Context.

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本文引用的文献

[1]
The h'-index, effectively improving the h-index based on the citation distribution.

PLoS One. 2013-4-2

[2]
Detecting h-index manipulation through self-citation analysis.

Scientometrics. 2011-4

[3]
The e-index, complementing the h-index for excess citations.

PLoS One. 2009

[4]
Promise and pitfalls of extending Google's PageRank algorithm to citation networks.

J Neurosci. 2008-10-29

[5]
An index to quantify an individual's scientific research output.

Proc Natl Acad Sci U S A. 2005-11-15

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