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.
141
days
Comparing eriophyoid extraction methods: assessing efficiency, advantages, and limitations
Authors
Marcello De Giosa; Livia M. S. Ataide; Alexandra M. RevynthiShow moreShow less
Affiliations
1. University of FloridaShow moreShow less
200
days
Phoretic mites on Acrocinus longimanus (Linnaeus, 1758) (Coleoptera: Cerambycidae) from southern Brazilian Atlantic rain forest
Authors
Gabriel Lima Bizarro; Guilherme Liberato da Silva; Liana JohannShow moreShow less
Affiliations
1. University of Vale Do Taquari - Univates; 2. University of Vale Do Taquari – Univates; 3. National Council for Scientific and Technological Developtment (CNPq) Researcher, BrazilShow moreShow less
143
days
A review on mites associated with eusocial bees of the tribe Meliponini (Hymenoptera: Apidae) and the species Apis mellifera (Hymenoptera: Apidae)
Authors
Daniele Ramalho Siqueira; Amanda Conceição dos Santos; Letícia Molina Hernandes; Rodolfo Mei Pelinson; Antonio Carlos LofegoShow moreShow less
Affiliations
1. Institute of Biosciences, Humanities and Exact Sciences, São Paulo State University (UNESP); 2. Institute of Biology, State University of Campinas (UNICAMP), Zeferino Vaz University CityShow 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