CrushSCI.com
344Average days
344Median days
344Fastest days
344Longest days
332025 publications

Paper Review Records

All Paper Review Records

1 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

344 days

Detecting and Mitigating Fraudulent Participation: Lessons Learned from a Mixed Methods Study

Authors
Michelle Lamont; Ligyana Korki de Candido; Delane Linkiewich; Sina Negarandeh; Bruce Dick; Jennifer N. Stinson; Abbie Jordan; Verena Kantere; Rachel Kelly; Paula ForgeronShow moreShow less
Affiliations
1. School of Nursing, Faculty of Health Sciences, 6363University of Ottawa, Ottawa, ON, Canada; 2. Department of Psychology, 3653University of Guelph, Guelph, ON, Canada; 3. School of Electrical Engineering and Computer Science, Faculty of Engineering, 6363University of Ottawa, Ottawa, ON, Canada; 4. Departments of Anesthesiology and Pain Medicine, 3158University of Alberta, Edmonton, AB, Canada; 5. Child Health Evaluative Sciences, Research Institute, 7979The Hospital for Sick Children, Toronto, ON, USA; 6. Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, USA; 7. Department of Psychology and Centre for Pain Research, 1555University of Bath, Claverton Down, Bath, UKShow moreShow less
Official full-text evidence DOI Publisher page

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.

We will reply within 30 minutes.

CrushSCI online

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

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

Contact CrushSCI

Contact CrushSCI

Leave your email address to discuss academic polishing, structural refinement, or one-to-one guidance.

We will reply within 30 minutes.

Selected service: Academic Consulting Service

Leave your email address

Or email us directly at [email protected]

Enter your email address so we can reply. Your details will remain private.