Journal Report

Railway Sciences

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Journal Information
Journal Title
Railway Sciences
Publisher
Emerald Publishing
ISSN
2755-0907
E-ISSN
2755-0915
Database
SCOPUS
Domain
Health Sciences, Physical Sciences, Social Sciences
Classification History
Year A+ A B C
2026 ✓
2025
2024
2023
2021/2022
2020
2019
2018
A journal may have more than one classification in the same year. All recorded classifications are displayed.
Recent Articles
Passive crowd buffering in pre-operational transit stations: a hybrid simulation study of the Thammasat University SRT red line station
Lik Ren Tai, Chairat Muksri
2026-10-23 Pages 1-25
Delay heterogeneity in Italian rail network with exploratory analysis and a proposed heterogeneous spatio-temporal graph framework
Kukatlapalli Pradeep Kumar, Michael Moses Thiruthuvanathan, Babu Kumar Sathiyamurthy
2026-10-16 Pages 1-18
Artificial intelligence and digital technologies in railway systems: a systematic literature review using the TCCM framework
Mukesh Kumar Meena, Gautam Kumar, Rajendra Kumar Meena
2026-10-13 Pages 1-19
Wheel-rail dynamic interaction in high-speed railway systems: a comprehensive review of stability, safety and wear evolution
Tri Tran Cong, Dong Doan Van, Hue Phuoc Lu
2026-10-9 Pages 1-41
Open-source one-dimensional modelling of piston-effect pressure waves in high-speed railway tunnels: verification, benchmarking against 3D CFD and single-train design-load screening
Tung Doan
2026-10-1 Pages 1-20
Outsourcing logistics for smarter railways: quantitative evidence on cost, delivery and service performance
Alaa Eddine El Moussaoui, Taoufiq El Moussaoui, Najat Toufah et al.
2026-9-14 Pages 1-27
Dynamic route optimization in disrupted heterogeneous railway systems via temporal planning
Pollob Chandra Ray, Sabah Binte Noor, Fazlul Hasan Siddiqui
2026-9-9 Pages 1-31
AI-driven passenger experience monitoring in railway operations: a Reddit-based NLP analysis of service failures, sentiment and operational priorities
Sezai Tunca, Elçin Noyan
2026-9-7 Pages 1-23
Quality and measurement approach of railway track geometry: a review
Dongming Fan
2026-8-28 Vol. 5 Issue 5 Pages 694-719
Explainable AI for transportation process management: symbolic regression of freight train speeds using Kolmogorov–Arnold networks (KANs)
Sergey E. Eliseev, Nikolay A. Davydov, Mikhail P. Noskov et al.
2026-8-20 Vol. 5 Issue 5 Pages 618-634
Articles retrieved from Crossref.
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Printed: October 26, 2026 00:48