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

作者:

Highlights:

• We examined publication bias due to authors’ reputation.

• The dataset included 8 years of submissions to 4 computer science journals.

• Authors’ reputation was inferred looking at their position in the publication network.

• More reputed authors were less likely to be rejected with negative reviews.

• Journal-specificities were important but never completely reversed this outcome.

摘要

•We examined publication bias due to authors’ reputation.•The dataset included 8 years of submissions to 4 computer science journals.•Authors’ reputation was inferred looking at their position in the publication network.•More reputed authors were less likely to be rejected with negative reviews.•Journal-specificities were important but never completely reversed this outcome.

论文关键词:Editorial bias,Network effects,Author reputation,Peer review,Bayesian network

论文评审过程:Received 8 September 2017, Revised 13 November 2017, Accepted 2 December 2017, Available online 12 December 2017, Version of Record 12 December 2017.

论文官网地址:https://doi.org/10.1016/j.joi.2017.12.002