Countries where authors publish in IEEE Transactions on Intelligent Vehicles
Since Specialization
Citations
This map shows the geographic impact of research published in IEEE Transactions on Intelligent Vehicles. 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 Transactions on Intelligent Vehicles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Transactions on Intelligent Vehicles more than expected).
Fields of papers published in IEEE Transactions on Intelligent Vehicles
This network shows the impact of papers published in IEEE Transactions on Intelligent Vehicles. 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 Transactions on Intelligent Vehicles.
About IEEE Transactions on Intelligent Vehicles
The 1.8k papers published in IEEE Transactions on Intelligent Vehicles in the last decades have received a total of 36.9k indexed citations . Papers published in IEEE Transactions on Intelligent Vehicles usually cover Automotive Engineering (848 papers), Computer Vision and Pattern Recognition (578 papers), Control and Systems Engineering (584 papers), Aerospace Engineering (349 papers) and Safety, Risk, Reliability and Quality (128 papers) specifically the topics of Autonomous Vehicle Technology and Safety (608 papers), Traffic control and management (289 papers), Robotic Path Planning Algorithms (212 papers), Vehicle Dynamics and Control Systems (206 papers), Robotics and Sensor-Based Localization (202 papers), Advanced Neural Network Applications (184 papers), Traffic Prediction and Management Techniques (130 papers) and Vehicular Ad Hoc Networks (VANETs) (124 papers). The most active scholars publishing in IEEE Transactions on Intelligent Vehicles are Fei‐Yue Wang, Sze Zheng Yong, B. Paden, Emilio Frazzoli, Michal Čáp, Dmitry Yershov, Mohan M. Trivedi, Chen Lv, Akshay Rangesh and Dongpu Cao.
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.