IEEE Transactions on Cybernetics

5.4k papers and 239.8k indexed citations i.

About

The 5.4k papers published in IEEE Transactions on Cybernetics in the last decades have received a total of 239.8k indexed citations. Papers published in IEEE Transactions on Cybernetics usually cover Control and Systems Engineering (1.9k papers), Artificial Intelligence (1.8k papers) and Computer Networks and Communications (1.6k papers) specifically the topics of Distributed Multi-Agent Coordination and Control (1.0k papers), Neural Networks Stability and Synchronization (877 papers) and Adaptive Control of Nonlinear Systems (727 papers). The most active scholars publishing in IEEE Transactions on Cybernetics are C. L. Philip Chen, Peng Shi, Qing‐Long Han, Shaocheng Tong, Zidong Wang, Yaochu Jin, Guang‐Hong Yang, Xuelong Li, Hongyi Li and Tingwen Huang.

In The Last Decade

Fields of papers published in IEEE Transactions on Cybernetics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Cybernetics. 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 Cybernetics.

Countries where authors publish in IEEE Transactions on Cybernetics

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Cybernetics. 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 Cybernetics 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 Cybernetics 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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