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.
173
days
Scaling the Rank-Size Rule: A Holistic Approach
Authors
James W. Fonseca; David W. S. WongShow moreShow less
Affiliations
1. Ohio University Zanesville; 2. George Mason UniversityShow moreShow less
150
days
Evaluation of a Digital Geography Textbook by Secondary School Students in Slovakia through the Expectation Confirmation Model
Authors
Michaela Žoncová; Tibor Madleňák; Martina Škodová; Michaela MihokováShow moreShow less
Affiliations
1. Matej Bel UniversityShow moreShow less
175
days
Financial Centers and Service Hinterlands: An Analysis of Financial Centers in Mainland China
Authors
Cheng FangShow moreShow less
Affiliations
1. Durham University; 2. Vrije Universiteit BrusselShow moreShow less
242
days
Integrating Artificial Intelligence with Manual Coding of Qualitative Data: Opportunities and Challenges
Authors
Arunima Dasgupta; Debarchana Ghosh; Asli McCullers; Beverly R. Williams; Eddie M. Clark; Mario Schootman; Crystal L. Park; Xin He; Cheryl L. KnottShow moreShow less
Affiliations
1. University of Connecticut; 2. University of Maryland; 3. University of Alabama at Birmingham; 4. Saint Louis University; 5. University of Arkansas for Medical SciencesShow 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