IEEE Vehicular Technology Magazine : Impact Factor & More
eISSN: 1556-6080pISSN: 1556-6072
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Key Metrics
CiteScore 
16.9
Eigenfactor
0.001 - 0.005
Impact Factor
5 - 10
SJR
Q1Automotive Engineering
SNIP
2.83
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Topics Covered on IEEE Vehicular Technology Magazine
IEEE Vehicular Technology Magazine Journal Specifications
Indexed in the following public directories
Web of Science 
Scopus 
Inspec 
SJR
| Overview | |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Language | English |
| Frequency | Quarterly |
| General Details |
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Recently Published Papers in IEEE Vehicular Technology Magazine
Terahertz Integrated Sensing and Communication-Empowered UAVS in 6G: A Transceiver Design Perspective
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Learning from Failures: LLM-Guided Safety-Critical Scenario Recommendation for Self-Evolving Autonomous Driving
- 1 Jan 2026
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Channel Characterization and Emulation for Nonterrestrial Network Communications: Challenges and Solutions
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Toward Self-Sustainable Airborne Communication Networks: Comprehensive Modeling and Analysis of Energy Consumption and Harvesting
- 1 Jan 2026
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Fed-KAN: Federated Learning With Kolmogorov–Arnold Networks for Traffic Prediction: KAN-Based Learning
- 1 Jan 2026
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Trustworthiness in Connected Autonomous Vehicles: Standards, Tradeoffs With Efficiency and Comfort, and Architectural Choices
- 1 Jan 2026
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Terahertz Integrated Sensing and Communication-Empowered UAVS in 6G: A Transceiver Design Perspective
- 1 Mar 2026
- IEEE Vehicular Technology Magazine
Learning from Failures: LLM-Guided Safety-Critical Scenario Recommendation for Self-Evolving Autonomous Driving
- 1 Jan 2026
- IEEE Vehicular Technology Magazine
Channel Characterization and Emulation for Nonterrestrial Network Communications: Challenges and Solutions
- 1 Jan 2026
- IEEE Vehicular Technology Magazine
Toward Self-Sustainable Airborne Communication Networks: Comprehensive Modeling and Analysis of Energy Consumption and Harvesting
- 1 Jan 2026
- IEEE Vehicular Technology Magazine
Fed-KAN: Federated Learning With Kolmogorov–Arnold Networks for Traffic Prediction: KAN-Based Learning
- 1 Jan 2026
- IEEE Vehicular Technology Magazine
Trustworthiness in Connected Autonomous Vehicles: Standards, Tradeoffs With Efficiency and Comfort, and Architectural Choices
- 1 Jan 2026
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