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Hidden connections: Network effects on editorial decisions in four computer science journals.

Bravo, Giangiacomo ; Farjam, Mike LU ; Moreno, Francisco Grimaldo ; Birukou, Aliaksandr and Squazzoni, Flaminio (2018) In Journal of Informetrics 12(1). p.101-112
Abstract
This paper aims to examine the influence of authors’ reputation on editorial bias in scholarly journals. By looking at eight years of editorial decisions in four computer science journals, including 7179 observations on 2913 submissions, we reconstructed author/referee-submission networks. For each submission, we looked at reviewer scores and estimated the reputation of submission authors by means of their network degree. By training a Bayesian network, we estimated the potential effect of scientist reputation on editorial decisions. Results showed that more reputed authors were less likely to be rejected by editors when they submitted papers receiving negative reviews. Although these four journals were comparable for scope and areas, we... (More)
This paper aims to examine the influence of authors’ reputation on editorial bias in scholarly journals. By looking at eight years of editorial decisions in four computer science journals, including 7179 observations on 2913 submissions, we reconstructed author/referee-submission networks. For each submission, we looked at reviewer scores and estimated the reputation of submission authors by means of their network degree. By training a Bayesian network, we estimated the potential effect of scientist reputation on editorial decisions. Results showed that more reputed authors were less likely to be rejected by editors when they submitted papers receiving negative reviews. Although these four journals were comparable for scope and areas, we found certain journal specificities in their editorial process. Our findings suggest ways to examine the editorial process in relatively similar journals without recurring to in-depth individual data, which are rarely available from scholarly journals. (Less)
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author
; ; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Editorial bias, Network effects, Author reputation, Peer review, Bayesian network
in
Journal of Informetrics
volume
12
issue
1
pages
12 pages
publisher
Elsevier
external identifiers
  • scopus:85037810919
ISSN
1875-5879
DOI
10.1016/j.joi.2017.12.002
language
English
LU publication?
no
id
c4c3c149-8da8-4904-b3d8-473a44eae580
date added to LUP
2021-01-20 16:46:54
date last changed
2023-11-20 23:07:21
@article{c4c3c149-8da8-4904-b3d8-473a44eae580,
  abstract     = {{This paper aims to examine the influence of authors’ reputation on editorial bias in scholarly journals. By looking at eight years of editorial decisions in four computer science journals, including 7179 observations on 2913 submissions, we reconstructed author/referee-submission networks. For each submission, we looked at reviewer scores and estimated the reputation of submission authors by means of their network degree. By training a Bayesian network, we estimated the potential effect of scientist reputation on editorial decisions. Results showed that more reputed authors were less likely to be rejected by editors when they submitted papers receiving negative reviews. Although these four journals were comparable for scope and areas, we found certain journal specificities in their editorial process. Our findings suggest ways to examine the editorial process in relatively similar journals without recurring to in-depth individual data, which are rarely available from scholarly journals.}},
  author       = {{Bravo, Giangiacomo and Farjam, Mike and Moreno, Francisco Grimaldo and Birukou, Aliaksandr and Squazzoni, Flaminio}},
  issn         = {{1875-5879}},
  keywords     = {{Editorial bias; Network effects; Author reputation; Peer review; Bayesian network}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{101--112}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Informetrics}},
  title        = {{Hidden connections: Network effects on editorial decisions in four computer science journals.}},
  url          = {{http://dx.doi.org/10.1016/j.joi.2017.12.002}},
  doi          = {{10.1016/j.joi.2017.12.002}},
  volume       = {{12}},
  year         = {{2018}},
}