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IEEE Vehicular Technology Magazine : Impact Factor & More

eISSN: 1556-6080pISSN: 1556-6072

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 Web of Science
  • Scopus Scopus
  • Inspec Inspec
  • SJR SJR
Overview
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Language English
Frequency Quarterly
General Details
LanguageEnglish
FrequencyQuarterly
Publication Start Year2006
Publisher URLVisit website
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Recently Published Papers in IEEE Vehicular Technology Magazine

Learning from Failures: LLM-Guided Safety-Critical Scenario Recommendation for Self-Evolving Autonomous Driving
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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
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Fed-KAN: Federated Learning With Kolmogorov–Arnold Networks for Traffic Prediction: KAN-Based Learning
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Uncrewed Aerial Vehicle Detection: A Channel State Information Anomaly-Based Approach
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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
  • 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
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Uncrewed Aerial Vehicle Detection: A Channel State Information Anomaly-Based Approach
  • 1 Jan 2026
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FAQs on IEEE Vehicular Technology Magazine