IEEE Transactions on Pattern Analysis and Machine Intelligence

9.2k papers and 985.4k indexed citations i.

About

The 9.2k papers published in IEEE Transactions on Pattern Analysis and Machine Intelligence in the last decades have received a total of 985.4k indexed citations. Papers published in IEEE Transactions on Pattern Analysis and Machine Intelligence usually cover Computer Vision and Pattern Recognition (7.1k papers), Artificial Intelligence (2.9k papers) and Aerospace Engineering (980 papers) specifically the topics of Advanced Vision and Imaging (1.7k papers), Advanced Image and Video Retrieval Techniques (1.6k papers) and Image Retrieval and Classification Techniques (997 papers). The most active scholars publishing in IEEE Transactions on Pattern Analysis and Machine Intelligence are John Canny, Kaiming He, Stéphane Mallat, Jitendra Malik, Ross Girshick, Shaoqing Ren, Jian Sun, Zheng Zhang, Anil K. Jain and Donald Geman.

In The Last Decade

Fields of papers published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Pattern Analysis and Machine 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 Pattern Analysis and Machine Intelligence.

Countries where authors publish in IEEE Transactions on Pattern Analysis and Machine Intelligence

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Pattern Analysis and Machine 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 Pattern Analysis and Machine 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 Pattern Analysis and Machine 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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