Media Technology
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image Enhancement Techniques
Also classified as
- Architecture 20.4k
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- Image and Signal Denoising Methods 33.9k
Media Technology
117.3k papers receiving 1.2M citations
Countries where authors publish papers about Media Technology
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
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.
About Media Technology
517.2k papers covering Media Technology have received a total of 7.6M indexed citations since 1950 . Papers on Media Technology are most often about the specific topic of Remote-Sensing Image Classification, Image Processing Techniques and Applications, Experimental Learning in Engineering, Advanced Image Fusion Techniques, ICT Impact and Policies, Engineering Education and Curriculum Development, Advanced Optical Imaging Technologies and Image and Signal Denoising Methods and also cover the fields of Architecture, Computer Vision and Pattern Recognition, Acoustics and Ultrasonics, Computer Science Applications and Human-Computer Interaction. Papers citing work on Media Technology are usually about Computer Vision and Pattern Recognition, Acoustics and Ultrasonics, Architecture, Human-Computer Interaction and Computer Science Applications. 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.
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.