On Performance of Peer Review for Academic Journals: Analysis Based on Distributed Parallel System

TL;DR

This paper presents a simulation model based on parallel systems to analyze how submission volume impacts the quality of academic journals under peer review, revealing potential deterioration with excessive submissions.

Contribution

It introduces a novel distributed simulation model to study peer review dynamics and its effects on journal standards.

Findings

Excessive submissions can lead to deterioration of journal quality.

The simulation effectively models submission, review, and acceptance behaviors.

Peer review efficiency may decline with increased submission volume.

Abstract

A simulation model based on parallel systems is established, aiming to explore the relation between the number of submissions and the overall standard of academic journals within a similar discipline under peer review. The model can effectively simulate the submission, review, and acceptance behaviors of academic journals in a distributed manner. According to the simulation experiments, it could possibly happen that the overall standard of academic journals deteriorates due to excessive submissions.