SCOPUS
Data Science for Transportation
Springer Nature, Singapore
Data Science for Transportation is an academic journal published by Springer Nature (Singapore). Identifiers: ISSN 2948-135X, eISSN 2948-1368. Indexed in SCOPUS. Metrics: CiteScore 1.3, SNIP 0.00. tlooto lists 147 papers from this journal.
CiteScore
1.30
Scopus citation metric
SJR
-
SCImago rank
SNIP
0.00
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2948-135X
- eISSN
- 2948-1368
- Abbreviation
- -
- Publisher
- Springer Nature
- Country
- Singapore
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2203 Automotive Engineering2205 Civil and Structural Engineering
Papers in this journal
Recent papers
- Reconciling Urban Mobility and CCAM Digital Twins for Enhanced Integration and Mutual Advancement
2026 · 1 citations
- Perceived Risk Factors Influencing Motorcycle Riding Behavior and Safety in Dhaka: A Structural Equation Modeling Approach
2026
- From Microscopic Driving Behavior to Macroscopic Traffic Dynamics Using Drone Observations
2026
- Assessing Spatial–Temporal Variations and Modelling Density and Severity of Road Traffic Accidents in Washington, D.C.
2026
- Correction: Bus Stop Typology Reveals Crash Risk Environments
2026
Most cited papers
- Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review
2022 · 57 citations
- Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using Graph Convolutional Neural Network
2022 · 41 citations
- Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms
2021 · 34 citations
- Unlocking the Full Potential of Deep Learning in Traffic Forecasting Through Road Network Representations: A Critical Review
2023 · 23 citations
- Data Science in Transportation Networks with Graph Neural Networks: A Review and Outlook
2025 · 23 citations