IEEE Transactions on Multimedia

5.4k papers and 132.8k indexed citations i.

About

The 5.4k papers published in IEEE Transactions on Multimedia in the last decades have received a total of 132.8k indexed citations. Papers published in IEEE Transactions on Multimedia usually cover Computer Vision and Pattern Recognition (4.4k papers), Artificial Intelligence (1.1k papers) and Signal Processing (1.0k papers) specifically the topics of Advanced Image and Video Retrieval Techniques (1.1k papers), Image and Video Quality Assessment (668 papers) and Advanced Vision and Imaging (646 papers). The most active scholars publishing in IEEE Transactions on Multimedia are Changsheng Xu, Weisi Lin, Yi Yang, Shuicheng Yan, Ke Gu, Xiaokang Yang, Mihaela van der Schaar, Guangtao Zhai, Tao Mei and Meng Wang.

In The Last Decade

Fields of papers published in IEEE Transactions on Multimedia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in IEEE Transactions on Multimedia

Since Specialization
Citations

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