Quantifying the quality of peer reviewers through Zipf's law
Marcel Ausloos, Olgica Nedic, Agata Fronczak, and Piotr Fronczak

TL;DR
This study analyzes peer review reports using Zipf's law and entropy measures to quantify reviewer quality, revealing deviations from typical text patterns and proposing metrics for assessing review and reviewer quality.
Contribution
It introduces a novel approach applying Zipf's law and entropy to evaluate peer review report quality, providing new quantitative metrics for reviewer assessment.
Findings
Peer review reports significantly deviate from standard Zipf's law.
Entropy-based measures can distinguish between better and worse reviews.
Proposed metrics enable comparison of reviewer quality across journals.
Abstract
This paper introduces a statistical and other analysis of peer reviewers in order to approach their "quality" through some quantification measure, thereby leading to some quality metrics. Peer reviewer reports for the Journal of the Serbian Chemical Society are examined. The text of each report has first to be adapted to word counting software in order to avoid jargon inducing confusion when searching for the word frequency: e.g. C must be distinguished, depending if it means Carbon or Celsius, etc. Thus, every report has to be carefully "rewritten". Thereafter, the quantity, variety and distribution of words are examined in each report and compared to the whole set. Two separate months, according when reports came in, are distinguished to observe any possible hidden spurious effects. Coherence is found. An empirical distribution is searched for through a Zipf-Pareto rank-size law. It…
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