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Quantifying the impact of scholarly papers based on higher-order weighted citations
Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,596 papers published in Physical Review C, and identify the relationship between citations and geographical distances betw...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875758/ https://www.ncbi.nlm.nih.gov/pubmed/29596426 http://dx.doi.org/10.1371/journal.pone.0193192 |
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author | Bai, Xiaomei Zhang, Fuli Hou, Jie Lee, Ivan Kong, Xiangjie Tolba, Amr Xia, Feng |
author_facet | Bai, Xiaomei Zhang, Fuli Hou, Jie Lee, Ivan Kong, Xiangjie Tolba, Amr Xia, Feng |
author_sort | Bai, Xiaomei |
collection | PubMed |
description | Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,596 papers published in Physical Review C, and identify the relationship between citations and geographical distances between author affiliations. Subsequently, a relative citation weight is applied to assess the impact of a scholarly paper. A higher-order weighted quantum PageRank algorithm is also developed to address the behavior of multiple step citation flow. Capturing the citation dynamics with higher-order dependencies reveals the actual impact of papers, including necessary self-citations that are sometimes excluded in prior studies. Quantum PageRank is utilized in this paper to help differentiating nodes whose PageRank values are identical. |
format | Online Article Text |
id | pubmed-5875758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58757582018-04-13 Quantifying the impact of scholarly papers based on higher-order weighted citations Bai, Xiaomei Zhang, Fuli Hou, Jie Lee, Ivan Kong, Xiangjie Tolba, Amr Xia, Feng PLoS One Research Article Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,596 papers published in Physical Review C, and identify the relationship between citations and geographical distances between author affiliations. Subsequently, a relative citation weight is applied to assess the impact of a scholarly paper. A higher-order weighted quantum PageRank algorithm is also developed to address the behavior of multiple step citation flow. Capturing the citation dynamics with higher-order dependencies reveals the actual impact of papers, including necessary self-citations that are sometimes excluded in prior studies. Quantum PageRank is utilized in this paper to help differentiating nodes whose PageRank values are identical. Public Library of Science 2018-03-29 /pmc/articles/PMC5875758/ /pubmed/29596426 http://dx.doi.org/10.1371/journal.pone.0193192 Text en © 2018 Bai et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bai, Xiaomei Zhang, Fuli Hou, Jie Lee, Ivan Kong, Xiangjie Tolba, Amr Xia, Feng Quantifying the impact of scholarly papers based on higher-order weighted citations |
title | Quantifying the impact of scholarly papers based on higher-order weighted citations |
title_full | Quantifying the impact of scholarly papers based on higher-order weighted citations |
title_fullStr | Quantifying the impact of scholarly papers based on higher-order weighted citations |
title_full_unstemmed | Quantifying the impact of scholarly papers based on higher-order weighted citations |
title_short | Quantifying the impact of scholarly papers based on higher-order weighted citations |
title_sort | quantifying the impact of scholarly papers based on higher-order weighted citations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875758/ https://www.ncbi.nlm.nih.gov/pubmed/29596426 http://dx.doi.org/10.1371/journal.pone.0193192 |
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