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.
3
days
Sharing Histories at the Intersection of Computer Science and Anthropology
Authors
Kendall House; John Ziker; Jerry Fails; Michael Wendell; Jessi BoyerShow moreShow less
Affiliations
1. Boise State UniversityShow moreShow less
244
days
Class, Critique, and Containment: Arcs of Historical Change in Australian Engineering Ethics Codes
Authors
Mallory JamesShow moreShow less
Affiliations
1. Institute for European Ethnology and Cultural Analysis, Ludwig Maximilian University of MunichShow moreShow less
367
days
Decolonizing Engineering Education: Tensions, Contexts, and Commitments Across Four National Settings
Authors
Stephanie Masta; Jillian Seniuk Cicek; Bruce Kloot; Tom GoldfinchShow moreShow less
Affiliations
1. Purdue University Department of Curriculum and Instruction; 2. University of Manitoba; 3. Department of Mechanical Engineering University of Cape Town; 4. Engineering, University of Sydney – Camperdown and Darlington Campus Burkitt-Ford LibraryShow moreShow less
250
days
Sociotechnical curricular approaches for a culture of engagement in engineering: students navigating power and equity
Authors
Desen S. ÖzkanShow moreShow less
Affiliations
1. University of ConnecticutShow 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