Peer-review in the Internet age

TL;DR

This paper discusses enhancing the peer-review process in the digital age by proposing an automated model that suggests related papers using citation network analysis to improve review efficiency.

Contribution

It introduces a practical automated approach leveraging citation network properties to assist referees in identifying relevant literature during peer review.

Findings

Proposes a citation network-based model for recommending related papers

Highlights potential for improved review efficiency through automation

Addresses challenges posed by increasing publication volume

Abstract

The importance of peer-review in the scientific process can not be overestimated. Yet, due to increasing pressures of research and exponentially growing number of publications the task faced by the referees becomes ever more difficult. We discuss here a few possible improvements that would enable more efficient review of the scientific literature, using the growing Internet connectivity. In particular, a practical automated model for providing the referees with references to papers that might have strong relationship with the work under review, based on general network properties of citations is proposed.