CrushSCI reveals real review times for each journal, giving authors transparent guidance for submission. As AI makes publishing increasingly challenging, the platform helps authors improve submission efficiency. Contact us if you need assistance.
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Review Cycle Records
International Journal of Performance Analysis in Sport
Paper Review Records
All Paper Review Records
15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
140
days
The association between sports-specific testing and in-game performance indicators in young male water polo players
Authors
Marcell Fridvalszki; János Matlák; Levente Rácz; Zsófia Tróznai; Dorina Annár; Katinka Utczás; Leonidas PetridisShow moreShow less
Affiliations
1. Hungarian University of Sports ScienceShow moreShow less
112
days
Associations between individual and balanced team performance and soccer match outcomes
Authors
James Ball; Minh Huynh; Matthew C. VarleyShow moreShow less
Affiliations
1. La Trobe UniversityShow moreShow less
69
days
A spatial analysis of ball recovery locations, ball recovery methods and eventual possession outcomes in elite women’s football using a Bayesian network approach
Authors
Mikael Jamil; Christopher McElduff; Lucas Adshead; Joseph Welsh; Adnane Ez-zizi; Marco BeatoShow moreShow less
Affiliations
1. University of SuffolkShow 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