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
Revista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie A-Matematicas
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.
328
days
Applications of compact multipliers to algebrability of \((\ell _{\infty }\setminus c_0)\cup \{0\}\) and \((B(\ell _2)\setminus K(\ell _2))\cup \{ 0\}\)
Authors
W. Franca; Jorge J. GarcésShow moreShow less
Affiliations
1. Departamento de Matemática, ICE - Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil; 2. Departamento de Matemática Aplicada a la Ingeniería Industrial, Universidad Politécnica de Madrid, Madrid, SpainShow moreShow less
742
days
Numerical analysis of residual neural networks for stochastic partial differential equations
Authors
Juan Yang; Qianlu PanShow moreShow less
Affiliations
1. Key Laboratory of Mathematics and Information Networks, Ministry of Education, Beijing, China; 2. School of Mathematical Sciences, Beijing University of Posts and Telecommunications, Beijing, ChinaShow 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