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.
191
days
Coalescence of black hole–neutron star binaries
Authors
Koutarou Kyutoku; Masaru Shibata; Keisuke TaniguchiShow moreShow less
Affiliations
1. Department of Physics, Kyoto University, Kyoto, Japan; 2. Center for Gravitational Physics, Yukawa Institute for Theoretical Physics, Kyoto University, Kyoto, Japan; 3. Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS), RIKEN, Wako, Japan; 4. Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Potsdam-Golm, Germany; 5. Department of Physics, University of the Ryukyus, Nishihara, JapanShow moreShow less
235
days
Relativistic fluid dynamics: physics for many different scales
Authors
Nils Andersson; Gregory L. ComerShow moreShow less
Affiliations
1. Mathematical Sciences and STAG Research Centre, University of Southampton, Southampton, UK; 2. Department of Physics, Saint Louis University, St. Louis, USAShow moreShow less
115
days
The general relativistic constraint equations
Authors
Alessandro CarlottoShow moreShow less
Affiliations
1. ETH Zürich, Zurich, SwitzerlandShow moreShow less
246
days
Time-delay interferometry
Authors
Massimo Tinto; Sanjeev V. DhurandharShow moreShow less
Affiliations
1. Center for Astrophysics and Space Sciences, University of California San Diego, La Jolla, USA; 2. Inter Univesity Centre for Astronomy and Astrophysics, Ganeshkhind, Pune, IndiaShow 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