Media Technology

514.5k papers and 7.5M indexed citations

About

514.5k papers covering Media Technology have received a total of 7.5M indexed citations since 1950. Papers on subfields are most often about the specific topic of Remote-Sensing Image Classification, Image Processing Techniques and Applications and Experimental Learning in Engineering and also cover the fields of Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Education. Papers citing papers on subfields are usually about Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. Some of the most active scholars covering Media Technology are Andrew Zisserman, Karen Simonyan, Alan C. Bovik, Stéphane Mallat, Kevin W. Eliceiri, Zhou Wang, Wayne Rasband, Eero P. Simoncelli, Hamid R. Sheikh and Lorenzo Bruzzone.

In The Last Decade

Media Technology

112.6k papers receiving 1.2M citations

Countries where authors publish papers about Media Technology

Since Specialization
Citations

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

Fields of papers citing papers about Media Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Media Technology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers covering Media Technology.

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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2026