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.
148
days
Steel Pipe-Pile Experiments and Analyses: In-Ground Flexural Deformation Capacity in the Presence of Axial Load
Authors
Sergio Suarez; Theresa Richards; Machel L. Morrison; Jose I. Restrepo; Carlo G. LaiShow moreShow less
Affiliations
1. Univ. of California, San Diego; 2. Nabih Youssef Structural Engineers; 3. Univ. of PaviaShow moreShow less
148
days
Experimental Investigation of Cold-Formed Steel Interlocking Modular Built-Up Stub Columns
Authors
Harish Vani Sivakumar; Mahendrakumar Mathialagu Madhavan; Mahmud AshrafShow moreShow less
Affiliations
1. Indian Institute of Technology Hyderabad; 2. Deakin Univ.Show moreShow less
240
days
Behavior of Ultrahigh Strength Concrete-Filled High-Strength Square Steel Tubular Columns Postfire
Authors
Xiao Lyu; Xiao-Xi Hu; Yu-Zhuo Wang; Ze-Jian Liu; Er-Feng Du; Hong-Lai LiShow moreShow less
Affiliations
1. Shandong Jianzhu Univ.; 2. Zhejiang Univ.; 3. Southeast Univ.Show moreShow less
204
days
Probabilistic Fracture Assessment in Partial-Joint-Penetration Welded Pull-Plate Experiments Representing Pre-Northridge Column Splice Details
Authors
Aditya Jhunjhunwala; Amit KanvindeShow moreShow less
Affiliations
1. Univ. of California, DavisShow 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