CrushSCI.com
250Average days
160Median days
65Fastest days
688Longest days
2982025 publications

Paper Review Records

All Paper Review Records

16 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

169 days

Digital focus groups in healthcare interventions: A reflexive methodological analysis of how socio-technical and relational factors co-produce qualitative data

Authors
Jan Gehrmann; Johannes Stephan; Ananda Stullich; Julia Roick; Laura Hoffmann; Matthias RichterShow moreShow less
Affiliations
1. TUM School of Medicine and Health, Department Health and Sport Sciences, Social Determinants of Health, Technical University of Munich, Munich, Germany; 2. TUM School of Medicine and Health, Department Clinical Medicine, Institute of General Practice and Health Services Research, Technical University of Munich, Munich, GermanyShow moreShow less
Source PDF DOI Publisher page
112 days

Single-label and multi-label classification for disease recognition with special consideration of comorbidities

Authors
Sophie Schmiegel; Hannah Marchi; Marvin-Hendrik Röchter; Martin Rudwaleit; Christiane FuchsShow moreShow less
Affiliations
1. Faculty of Business Administration and Economics, Data Science Group, Bielefeld University, Bielefeld, Germany; 2. Department of Internal Medicine and Rheumatology, Hospital Bielefeld Rosenhöhe, Bielefeld, Germany; 3. Medical School and University Medical Center OWL, Bielefeld University, Bielefeld, Germany; 4. Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Neuherberg, GermanyShow moreShow less
Source PDF DOI Publisher page
616 days

The dilemma of using racial and ethnic categories in biomedical research

Authors
A S Kidane Gebremeskel; K A C Meeks; M H Cnossen; A M’charek; A W RijneveldShow moreShow less
Affiliations
1. Dep. of Pediatrics, Pediatric Hematology, Erasmus Medical Center, Rotterdam, the Netherlands; 2. Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, The United States of America, Bethesda, USA; 3. Anthropology, University of Amsterdam, Amsterdam, the Netherlands; 4. Department of Hematology, Erasmus University Medical Center, Rotterdam, the NetherlandsShow moreShow less
Source PDF DOI Publisher page
295 days

Variable selection for clinical prediction models in low-dimensional data - a simulation study comparing traditional regression and machine learning methods

Authors
Johannes A. Vey; Georg Heinze; Meinhard KieserShow moreShow less
Affiliations
1. Institute of Medical Biometry, University of Heidelberg, Heidelberg, Germany; 2. Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna, Vienna, AustriaShow moreShow less
Source PDF DOI Publisher page

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.

We will reply within 30 minutes.

CrushSCI online

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

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

Contact CrushSCI

Contact CrushSCI

Leave your email address to discuss academic polishing, structural refinement, or one-to-one guidance.

We will reply within 30 minutes.

Selected service: Academic Consulting Service

Leave your email address

Or email us directly at [email protected]

Enter your email address so we can reply. Your details will remain private.