CrushSCI.com
270Average days
243.5Median days
148Fastest days
481Longest days
3392025 publications

Paper Review Records

All Paper Review Records

10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

416 days

Article

Authors
Yong-Fei Zhang; Mitchell Bushuk; Michael Winton; William Gregory; Bill Hurlin; Liwei Jia; Feiyu LuShow moreShow less
Affiliations
1. Princeton University (Princeton, United States of America)Show moreShow less
Source PDF DOI Publisher page
481 days

Article

Authors
Christopher Ulloa; Ayon García; Anouk BeniestShow moreShow less
Affiliations
1. University of Atacama (Copiapó, Chile)Show moreShow less
Source PDF DOI Publisher page
148 days

Article

Authors
Louis Védrine; Marius Brun; Mathis Bozon; Benoit Laurent; Pascal HagenmullerShow moreShow less
Affiliations
1. Centre National de Recherches Météorologiques (Toulouse, France); 2. Météo-France (Toulouse, France); 3. Université de Toulouse (Toulouse, France); 4. Université Grenoble Alpes (Saint-Martin-d'Hères, France)Show moreShow less
Source PDF DOI Publisher page
288 days

Article

Authors
Jiao Chen; Rebecca A. Hodge; Stewart S. R. Jamieson; Chris R. StokesShow moreShow less
Affiliations
1. Durham University (Durham, United Kingdom)Show moreShow less
Source PDF DOI Publisher page

Expert Matching · Case Demo

Turn Your Submission Goalsinto a Verifiable Journal Plan

Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.

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CrushSCI online

Client

I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?

CrushSCI

Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.

Suggested title
Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

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