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.
730
days
Explaining Accruals Using Working Capital Efficiency
Authors
Richard Frankel; Yanrong Jia; Yan SunShow moreShow less
Affiliations
1. Olin Business School Washington University in St. Louis St. Louis Missouri USA; 2. Zicklin School of Business Baruch College ‐ City University of New York New York New York USA; 3. Richard A. Chaifetz School of Business Saint Louis University St. Louis Missouri USAShow moreShow less
1,885
days
The Spillover of Value‐Relevant Information About Targets' Peers During Acquisitions
Authors
Congcong Li; Danmo Lin; MaryJane RabierShow moreShow less
Affiliations
1. Palumbo‐Donahue School of Business Duquesne University Pittsburgh Pennsylvania USA; 2. College of Business James Madison University Harrisonburg Virginia USA; 3. Olin Business School Washington University in Saint Louis St Louis Missouri USAShow moreShow less
1,176
days
US CEO Political Ideology and Non‐GAAP Earnings
Authors
Adam Esplin; Yun Ke; Kari Joseph Olsen; Jiwoo SeoShow moreShow less
Affiliations
1. Woody L. Hunt College of Business The University of Texas at El Paso El Paso Texas USA; 2. Utah Valley University Orem Utah USA; 3. Tarleton State University Stephenville Texas USAShow 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