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.
Mathematics
Mathematics
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Review Cycle Records
Stochastics and Partial Differential Equations-Analysis and Computations
Paper Review Records
All Paper Review Records
15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
584
days
Random models for singular SPDEs
Authors
I. Bailleul; Y. BrunedShow moreShow less
Affiliations
1. CNRS, LMBA - UMR 6205, Univ Brest, Brest, France; 2. CNRS, IECL, Universite de Lorraine, Nancy, FranceShow moreShow less
340
days
Probabilistic approach to averaging for a type of multivalued Dirichlet-Neumann problems
Authors
Huijie QiaoShow moreShow less
Affiliations
1. School of Mathematics, Southeast University, Nanjing, ChinaShow moreShow less
530
days
Pathwise uniqueness in infinite dimension under weak structure condition
Authors
Davide Addona; Davide A. BignaminiShow moreShow less
Affiliations
1. Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università degli studi di Parma, PARMA, Italy; 2. Dipartimento di Scienza e Alta Tecnologia (DISAT), Università degli Studi dell’Insubria, COMO, ItalyShow 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