IET Intelligent Transport Systems

1.8k papers and 23.4k indexed citations i.

About

The 1.8k papers published in IET Intelligent Transport Systems in the last decades have received a total of 23.4k indexed citations. Papers published in IET Intelligent Transport Systems usually cover Automotive Engineering (715 papers), Control and Systems Engineering (572 papers) and Transportation (559 papers) specifically the topics of Transportation Planning and Optimization (485 papers), Traffic control and management (476 papers) and Traffic Prediction and Management Techniques (427 papers). The most active scholars publishing in IET Intelligent Transport Systems are Xingming Wu, Weihai Chen, Jingmeng Liu, Zheng Zhao, Peter C. Y. Chen, Mansur R. Kabuka, Da Zhang, Shengbo Eben Li, Airton G Kohls and Thomas Urbanik.

In The Last Decade

Fields of papers published in IET Intelligent Transport Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IET Intelligent Transport 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 IET Intelligent Transport Systems.

Countries where authors publish in IET Intelligent Transport Systems

Since Specialization
Citations

This map shows the geographic impact of research published in IET Intelligent Transport 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 IET Intelligent Transport Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IET Intelligent Transport Systems more than expected).

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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2025