Determining quality dimensions for peer review reports using a Delphi approach

Abstract The quality of peer review reports is essential to the integrity and effectiveness of scholarly communication. Yet review reports are often criticized for being vague, biased, or unconstructive, which limits their usefulness for both authors and editors. Existing frameworks for assessing review quality remain fragmented and are rarely validated through expert consensus. This study aims to define and validate a comprehensive set of quality dimensions for peer review reports, encompassing comments addressed to both authors and editors. We employed a two-phase design combining a thematic analysis of the literature with a Delphi study involving 43 scientific editors, primarily from journals in Computer Science and Engineering. Consensus was reached after two Delphi rounds, resulting in 62 validated statements organized into eight quality dimensions: Helpfulness, Specificity, Fairness, Thoroughness, Courteousness, Readability, Consistency, and Relevance. These findings provide an empirically grounded framework to inform the development of clearer standards for peer review practice.

Authors

Publication Details

Journal
Scientometrics
Published
2026-03-23
DOI
https://doi.org/10.1007/s11192-026-05603-3
Primary Topic
Academic Publishing and Open Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining quality dimensions for peer review reports using a Delphi approach

Amanda Sizo, Adriano Del Pino Lino, Luís Paulo Reis, Álvaro Rocha
Scientometrics
Academic Publishing and Open Access
article

Determining quality dimensions for peer review reports using a Delphi approach

Amanda Sizo, Adriano Del Pino Lino, Luís Paulo Reis, Álvaro Rocha
article en

Abstract

Abstract The quality of peer review reports is essential to the integrity and effectiveness of scholarly communication. Yet review reports are often criticized for being vague, biased, or unconstructive, which limits their usefulness for both authors and editors. Existing frameworks for assessing review quality remain fragmented and are rarely validated through expert consensus. This study aims to define and validate a comprehensive set of quality dimensions for peer review reports, encompassing comments addressed to both authors and editors. We employed a two-phase design combining a thematic analysis of the literature with a Delphi study involving 43 scientific editors, primarily from journals in Computer Science and Engineering. Consensus was reached after two Delphi rounds, resulting in 62 validated statements organized into eight quality dimensions: Helpfulness, Specificity, Fairness, Thoroughness, Courteousness, Readability, Consistency, and Relevance. These findings provide an empirically grounded framework to inform the development of clearer standards for peer review practice.

Scientometrics
Quality Education
Openalex Percentile: Top 10%
Academic Publishing and Open Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.