IEEE Open Journal of Intelligent Transportation Systems

2.7k citations
318 papers · indexed · active since 1954
Fields
Automotive Engineering (135 papers)Transportation (61 papers)Building and Construction (73 papers)
Topics
Autonomous Vehicle Technology and SafetyTraffic control and managementTraffic Prediction and Management Techniques
Top scholars
Jochen SeitzShaurya AgarwalKaya KuruSteven E ShladoverSeonwook KimYonghwan JeongKyongsu YiMohamed Abdel‐Aty

In The Last Decade

IEEE Open Journal of Intelligent Transportation Systems

269 papers receiving 2.6k citations

Peers

IEEE Open Journal of Intelligent Transportation Systems
Comparison fields: 5 of 113
  • Automotive Engineering 1.0k
  • Control and Systems Engineering 682
  • Computer Vision and Pattern Recognition 561
  • Electrical and Electronic Engineering 553
  • Building and Construction 516
Replace International Journal of Intelligent Transportation Systems Research with:
International Journal of Intelligent Transportation Systems Research Japan
Energy Informatics Germany
Automotive Innovation China
ACM Transactions on Cyber-Physical Systems United States
Journal of Modern Transportation China
Transportation Engineering Italy
SAE International journal of passenger cars. Electronic and electrical systems United States
Facta Universitatis Series Mechanical Engineering Serbia
Journal of Applied Research and Technology Mexico
Journal of Control Science and Engineering China
IEEE Open Journal of Intelligent Transportation Systems relative to International Journal of Intelligent Transportation Systems Research Japan International Journal of Intelligent Transportation Systems Research's profile →
Citations per field
00.5×2×4×6×8×9×
International Journal of Intelligent Transportation Systems Research · 1×
Citations per year

Countries where authors publish in IEEE Open Journal of Intelligent Transportation Systems

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Open Journal of Intelligent Transportation Systems. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in IEEE Open Journal of Intelligent Transportation Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Open Journal of Intelligent Transportation Systems more than expected).

Fields of papers published in IEEE Open Journal of Intelligent Transportation Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Open Journal of Intelligent Transportation Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in IEEE Open Journal of Intelligent Transportation Systems.

About IEEE Open Journal of Intelligent Transportation Systems

The 318 papers published in IEEE Open Journal of Intelligent Transportation Systems in the last decades have received a total of 2.7k indexed citations . Papers published in IEEE Open Journal of Intelligent Transportation Systems usually cover Automotive Engineering (135 papers), Transportation (61 papers) and Building and Construction (73 papers) specifically the topics of Autonomous Vehicle Technology and Safety (85 papers), Traffic control and management (76 papers) and Traffic Prediction and Management Techniques (55 papers). The most active scholars publishing in IEEE Open Journal of Intelligent Transportation Systems are Jochen Seitz, Shaurya Agarwal, Kaya Kuru, Steven E Shladover, Seonwook Kim, Yonghwan Jeong, Kyongsu Yi, Mohamed Abdel‐Aty, Eleonora Papadimitriou and Rodolfo Valiente.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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