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
25 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
128
days
Enriching historical biologging datasets on seabirds using deep neural networks: A transformer‐based approach to infer energy expenditure proxy from GPS and environmental data
Authors
Noémie Muquet; Adrien Brunel; Christophe Barbraud; Leandro Bugoni; Karine Delord; Guilherme Tavares Nunes; Jean‐Daniel Zucker; Sophie LancoShow moreShow less
Affiliations
1. MARBEC (Univ. Montpellier, Ifremer, CNRS, IRD) Sète France; 2. UMMISCO, Mathematical and Computational Modeling of Complex Systems Paris France; 3. Centre d'Etudes Biologiques de Chizé UMR7372 Centre National de la Recherche Scientifique (CNRS), La Rochelle Université Villiers en Bois France; 4. Laboratório de Aves Aquáticas e Tartarugas Marinhas (LAATM) Universidade Federal do Rio Grande (FURG) Rio Grande Rio Grande do Sul Brazil; 5. Centro de Estudos Costeiros, Limnológicos e Marinhos (CECLIMAR) Universidade Federal do Rio Grande do Sul (UFRGS) Imbé Brazil; 6. Nutrition and Obesities: Systemic Approaches (NutriOmique) Sorbonne University Inserm Paris FranceShow 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