Paper Review Records
All Paper Review Records
19 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
102
days
Design and finite element analysis of polymeric scaffolds for additive manufacturing in bone tissue engineering
Authors
M. I. Martínez-Valencia; C. Hernández-Navarro; J. A. Vázquez-López; F. J. Cervantes-Vallejo; J. Muñoz-Saldaña; J. L. Díaz-León; J. Y. Ramos-MartínezShow moreShow less
Affiliations
1. Faculty of Engineering, International Business and Entrepreneurship Academy, Universidad de Celaya, Celaya, Mexico; 2. Research and Planning Council, Instituto Municipal de Investigación, Planeación y Estadística de Celaya, Celaya, Mexico; 3. Division of Postgraduate Studies and Research, Tecnológico Nacional de México en Roque, Celaya, Mexico; 4. Department of Industrial Engineering, Tecnológico Nacional de México en Celaya, Celaya, Mexico; 5. Department of Equipment Design and Development, Tecnológico Nacional de México CRODE Celaya, Celaya, Mexico; 6. Department of Mechatronics Engineering, Tecnológico Nacional de México en Celaya, Celaya, Guanajuato, Mexico; 7. National Thermal Projection Laboratory (CENAPROT), CINVESTAV-Querétaro, Queretaro, Mexico; 8. Department of Metalworking Engineering, Tecnológico Nacional de México en Querétaro, Queretaro, MexicoShow 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