Paper Review Records
All Paper Review Records
5 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
225
days
Article
Authors
Jan Saynisch-Wagner; Saran Rajendran SariShow moreShow less
Affiliations
1. GFZ Helmholtz Centre for Geosciences (Potsdam, Germany)Show moreShow less
275
days
Article
Authors
Solène Dealbera; Stéphane Raynaud; Carlos Granero Belinchon; Brahim Boussidi; Clément Le Goff; Pierre TandeoShow moreShow less
Affiliations
1. IMT Atlantique (Nantes, France); 2. Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance (Brest, France); 3. Centre National de la Recherche Scientifique (Paris, France); 4. Ifremer (Brest, France)Show moreShow less
167
days
Article
Authors
Haru Kuroki; Kazumune Hashimoto; Yuki Uehara; Yohei Sawada; Duc Le; Masashi MinamideShow moreShow less
Affiliations
1. The University of Osaka (Osaka, Japan)Show moreShow less
148
days
Article
Authors
Andrew R. Axelsen; Terence J. O'Kane; Courtney R. Quinn; Andrew P. BassomShow moreShow less
Affiliations
1. University of Tasmania (Hobart, Australia); 2. CSIRO Environment (Canberra, Australia)Show moreShow less
274
days
Article
Authors
V. Mithlesh Kumar; Anil Yildiz; Julia KowalskiShow moreShow less
Affiliations
1. RWTH Aachen University (Aachen, Germany)Show moreShow less
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.
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
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days