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.
49
days
Machines Learn Better with Better Data Ontology: Lessons from Philosophy of Induction and Machine Learning Practice
Authors
Dan LiShow moreShow less
Affiliations
1. Philosophy Department, Baruch College, City University of New York, New York, USAShow moreShow less
201
days
Explainable AI and Causal Understanding: Counterfactual Approaches Considered
Authors
Sam BaronShow moreShow less
Affiliations
1. Dianoia Institute of Philosophy, Australian Catholic University, East Melbourne, AustraliaShow moreShow less
158
days
The Puzzling Resilience of Multiple Realization
Authors
Thomas W. Polger; Lawrence A. ShapiroShow moreShow less
Affiliations
1. University of Cincinnati, Cincinnati, USA; 2. University of Wisconsin, Madison, USAShow moreShow less
440
days
Developing Artificial Human-Like Arithmetical Intelligence (and Why)
Authors
Markus PantsarShow moreShow less
Affiliations
1. Human Technology Center, RWTH Aachen University, Aachen, GermanyShow 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