Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
349
days
Factor multivariate stochastic volatility models of high dimension
Authors
Benjamin Poignard; Manabu AsaiShow moreShow less
Affiliations
1. Faculty of Science and Technology, Keio University and Riken-AIP; 2. Faculty of Economics and Business Administration, Soka UniversityShow moreShow less
324
days
Dimension reduction and testing of functional inequalities conditional on estimated functions
Authors
Andres Aradillas-LopezShow moreShow less
Affiliations
1. Department of Economics, Pennsylvania State UniversityShow moreShow less
234
days
Identification by non-Gaussianity in structural smooth transition vector autoregressive models
Authors
Savi VirolainenShow moreShow less
Affiliations
1. Faculty of Social Sciences, University of HelsinkiShow moreShow less
489
days
Difference-in-differences with as few as two cross-sectional units – A new perspective to the democracy – growth debate
Authors
Gilles Boevi Koumou; Emmanuel Selorm TsyawoShow moreShow less
Affiliations
1. Chaire Desjardins en Finance Responsable, École de Gestion, Université de Sherbrooke; 2. Department of Economics, Finance and Legal Studies, Culverhouse College of Business, University of AlabamaShow 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