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.
529
days
Morena ke morena ka batho: Tokelo ea ho nka karolo pusong Afrika Boroa
Authors
Hoolo ‘NyaneShow moreShow less
Affiliations
1. Department of Public and Environmental Law, School of Law, University of LimpopoShow moreShow less
367
days
Defective administrative decisions and collateral challenges: The Constitutional Court’s confusing approach in Merifon (Pty) Limited v Greater Letaba Municipality
Authors
Lindo HadebeShow moreShow less
Affiliations
1. SAIFAC, a centre of the University of JohannesburgShow moreShow less
590
days
General Comment 26 on ‘Children’s Rights and the Environment With a Special Focus on Climate Change’: Its potential for human rights climate change litigation in South Africa
Authors
Faranaaz Veriava; Motheo BrodieShow moreShow less
Affiliations
1. Department of Private Law, University of Pretoria; 2. Legal Researcher in the UNESCO Chair – Education Law in Africa, University of PretoriaShow moreShow less
417
days
Should medical aids cover gender-affirming healthcare for children under prescribed minimum benefits?
Authors
Sophy BairdShow moreShow less
Affiliations
1. Department of Private Law, Faculty of Law, University of PretoriaShow 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