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.
105
days
Evaluating the saturated paste extraction method for determining PFAS solid–liquid partitioning coefficients (Kd) in low-organic-carbon sand aquifers
Authors
Oscar Liljeström; Dan Berggren Kleja; Malin Ellbrant; Michael Pettersson; Anja Enell; Lutz AhrensShow moreShow less
Affiliations
Swedish University of Agricultural Sciences (SLU), Department of Aquatic Sciences and Assessment, P. O. Box 7050, SE-750 07, Uppsala, Sweden; Swedish Geotechnical Institute (SGI), Olaus Magnus Väg 35, SE-581 93, Linköping, Sweden; Department of Soil and Environment, Swedish University of Agricultural Sciences (SLU), P.O. Box 7014, SE-750 07, Uppsala, SwedenShow moreShow less
58
days
Prenatal fluoride exposure and child IQ: Is tea a key source of fluoride?
Authors
Durdana Khan; Meaghan Hall; Keira Ayoub; Richard Hornung; David Flora; Bruce Lanphear; Christine TillShow moreShow less
Affiliations
Faculty of Health, York University, Toronto, Ontario, Canada; York University, Toronto, Ontario, Canada; Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, CanadaShow 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