Literature DB >> 23944525

Coauthorship and citation patterns in the Physical Review.

Travis Martin1, Brian Ball, Brian Karrer, M E J Newman.   

Abstract

A large number of published studies have examined the properties of either networks of citation among scientific papers or networks of coauthorship among scientists. Here we study an extensive data set covering more than a century of physics papers published in the Physical Review, which allows us to construct both citation and coauthorship networks for the same set of papers. We analyze these networks to gain insight into temporal changes in citation and collaboration over the long time period of the data, as well as correlations and interactions between the two. Among other things, we investigate the change over time in the number of publishing authors, the number of papers they publish, and the number of others with whom they collaborate, changes in the typical number of citations made and received, the extent to which individuals tend to cite themselves or their collaborators more than others, the extent to which they cite themselves or their collaborators more quickly after publication, and the extent to which they tend to return the favor of a citation from another scientist.

Year:  2013        PMID: 23944525     DOI: 10.1103/PhysRevE.88.012814

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  9 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-10       Impact factor: 11.205

2.  How humans learn and represent networks.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-24       Impact factor: 11.205

3.  Shorter distances between papers over time are due to more cross-field references and increased citation rate to higher-impact papers.

Authors:  Attila Varga
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-14       Impact factor: 11.205

4.  Predicting research trends with semantic and neural networks with an application in quantum physics.

Authors:  Mario Krenn; Anton Zeilinger
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-14       Impact factor: 11.205

5.  A Unified Framework for Complex Networks with Degree Trichotomy Based on Markov Chains.

Authors:  David Shui Wing Hui; Yi-Chao Chen; Gong Zhang; Weijie Wu; Guanrong Chen; John C S Lui; Yingtao Li
Journal:  Sci Rep       Date:  2017-06-16       Impact factor: 4.379

6.  JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs.

Authors:  Lisette Espín-Noboa; Florian Lemmerich; Markus Strohmaier; Philipp Singer
Journal:  Appl Netw Sci       Date:  2017-06-24

7.  New framework for automated article selection applied to a literature review of Enhanced Biological Phosphorus Removal.

Authors:  Minh Nguyen Quang; Tim Rogers; Jan Hofman; Ana B Lanham
Journal:  PLoS One       Date:  2019-05-09       Impact factor: 3.240

Review 8.  Global collaborative networks on meta-analyses of randomized trials published in high impact factor medical journals: a social network analysis.

Authors:  Ferrán Catalá-López; Adolfo Alonso-Arroyo; Brian Hutton; Rafael Aleixandre-Benavent; David Moher
Journal:  BMC Med       Date:  2014-01-29       Impact factor: 8.775

9.  Dynamics of investor spanning trees around dot-com bubble.

Authors:  Sindhuja Ranganathan; Mikko Kivelä; Juho Kanniainen
Journal:  PLoS One       Date:  2018-06-13       Impact factor: 3.240

  9 in total

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