Literature DB >> 32513724

Three dimensions of scientific impact.

Grzegorz Siudem1, Barbara Żogała-Siudem2, Anna Cena3, Marek Gagolewski2,3,4.   

Abstract

The growing popularity of bibliometric indexes (whose most famous example is the h index by J. E. Hirsch [J. E. Hirsch, Proc. Natl. Acad. Sci. U.S.A. 102, 16569-16572 (2005)]) is opposed by those claiming that one's scientific impact cannot be reduced to a single number. Some even believe that our complex reality fails to submit to any quantitative description. We argue that neither of the two controversial extremes is true. By assuming that some citations are distributed according to the rich get richer rule (success breeds success, preferential attachment) while some others are assigned totally at random (all in all, a paper needs a bibliography), we have crafted a model that accurately summarizes citation records with merely three easily interpretable parameters: productivity, total impact, and how lucky an author has been so far.

Keywords:  bibliometric indexes; rich get richer; science of science; scientometrics

Year:  2020        PMID: 32513724      PMCID: PMC7322031          DOI: 10.1073/pnas.2001064117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  23 in total

1.  An index to quantify an individual's scientific research output.

Authors:  J E Hirsch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-07       Impact factor: 11.205

2.  Unified model for network dynamics exhibiting nonextensive statistics.

Authors:  Stefan Thurner; Fragiskos Kyriakopoulos; Constantino Tsallis
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2007-09-17

3.  Scale-free networks: a decade and beyond.

Authors:  Albert-László Barabási
Journal:  Science       Date:  2009-07-24       Impact factor: 47.728

4.  Modeling scientific-citation patterns and other triangle-rich acyclic networks.

Authors:  Zhi-Xi Wu; Petter Holme
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-09-14

5.  Growing complex network of citations of scientific papers: Modeling and measurements.

Authors:  Michael Golosovsky; Sorin Solomon
Journal:  Phys Rev E       Date:  2017-01-30       Impact factor: 2.529

6.  Network science: Luck or reason.

Authors:  Albert-László Barabási
Journal:  Nature       Date:  2012-09-12       Impact factor: 49.962

7.  Reputation and impact in academic careers.

Authors:  Alexander Michael Petersen; Santo Fortunato; Raj K Pan; Kimmo Kaski; Orion Penner; Armando Rungi; Massimo Riccaboni; H Eugene Stanley; Fabio Pammolli
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-06       Impact factor: 11.205

8.  The Matthew effect in science. The reward and communication systems of science are considered.

Authors:  R K Merton
Journal:  Science       Date:  1968-01-05       Impact factor: 47.728

9.  Modeling the citation network by network cosmology.

Authors:  Zheng Xie; Zhenzheng Ouyang; Pengyuan Zhang; Dongyun Yi; Dexing Kong
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

10.  The Distribution of the Asymptotic Number of Citations to Sets of Publications by a Researcher or from an Academic Department Are Consistent with a Discrete Lognormal Model.

Authors:  João A G Moreira; Xiao Han T Zeng; Luís A Nunes Amaral
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

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  1 in total

1.  Research Output and International Cooperation Among Countries During the COVID-19 Pandemic: Scientometric Analysis.

Authors:  Nadja Grammes; Dominic Millenaar; Felix Mahfoud; Andreas Keller; Tobias Fehlmann; Fabian Kern; Michael Böhm
Journal:  J Med Internet Res       Date:  2020-12-11       Impact factor: 5.428

  1 in total

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