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
14 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
311
days
Stand-level modelling and mapping of a pine-dependent indicator fungus across Sweden: effects of stand structure and climate
Authors
Nils Ambec; Laura Chevaux; Shengmin Zhang; Cristian S. Montalvo-Mancheno; Tord SnällShow moreShow less
Affiliations
SLU Swedish Species Information Centre, Swedish University of Agricultural Sciences, Uppsala, Sweden; School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China; The Forestry Research Institute of Sweden (Skogforsk), SE-75183, Uppsala, SwedenShow moreShow less
126
days
Why sycamore and beech fall short: assessing the compensatory potential of alternative hosts for ash-associated saproxylic fungi
Authors
Edward J.F. Woolley; Sarah R. Christofides; Lynne BoddyShow moreShow less
Affiliations
School of Biosciences, Cardiff University, Cardiff, CF10 3AX, United KingdomShow 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