IEEE Transactions on Artificial Intelligence

853 papers and 5.4k indexed citations i.

About

The 853 papers published in IEEE Transactions on Artificial Intelligence in the last decades have received a total of 5.4k indexed citations. Papers published in IEEE Transactions on Artificial Intelligence usually cover Artificial Intelligence (453 papers), Computer Vision and Pattern Recognition (264 papers) and Control and Systems Engineering (90 papers) specifically the topics of Adversarial Robustness in Machine Learning (66 papers), Domain Adaptation and Few-Shot Learning (61 papers) and Advanced Neural Network Applications (58 papers). The most active scholars publishing in IEEE Transactions on Artificial Intelligence are Houbing Song, Jian Wang, Yongxin Liu, Shuteng Niu, Guoqing Chao, Jinbo Bi, Shiliang Sun, Edgar Galván, Peter Mooney and Bilal Babayiğit.

In The Last Decade

Fields of papers published in IEEE Transactions on Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in IEEE Transactions on Artificial Intelligence

Since Specialization
Citations

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