CrushSCI reveals real review times for each journal, giving authors transparent guidance for submission. As AI makes publishing increasingly challenging, the platform helps authors improve submission efficiency. Contact us if you need assistance.
Environmental Sciences & Ecology
Environmental Sciences & Ecology
Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
270
days
Caging-group-free photoactivatable fluorophores with far-red emission
Authors
Richard Lincoln; Alexey N. Butkevich; Clara-Marie Gürth; Alena Fischer; Jessica Matthias; Anna R. Emmerich; Maximilian Fidlin; Mariano L. Bossi; Stefan W. HellShow moreShow less
Affiliations
Department of Optical Nanoscopy, Max Planck Institute for Medical Research, Heidelberg, Germany; Abberior Instruments GmbH, Göttingen, Germany; Department of NanoBiophotonics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, GermanyShow moreShow less
110
days
Floatable carbon nitride-plastic composite for paired photocatalysis at the liquid-liquid interface
Authors
Andrea Rogolino; Stuart Linley; Papa Kwakye Kwarteng; Shannon A. Bonke; Carolina Pulignani; Erwin ReisnerShow moreShow less
Affiliations
Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UKShow 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