Computer Vision and Pattern Recognition
Impact in
- Media Technology 3.1M
Also classified as
- Media Technology 171.6k
- Signal Processing 202.8k
Computer Vision and Pattern Recognition
425.8k papers receiving 5.0M citations
Countries where authors publish papers about Computer Vision and Pattern Recognition
This map shows the geographic impact of research in Computer Vision and Pattern Recognition. 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 Computer Vision and Pattern Recognition with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Vision and Pattern Recognition more than expected).
Fields of papers citing papers about Computer Vision and Pattern Recognition
This network shows the impact of papers covering Computer Vision and Pattern Recognition. 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 Computer Vision and Pattern Recognition.
About Computer Vision and Pattern Recognition
1.8M papers covering Computer Vision and Pattern Recognition have received a total of 34.3M indexed citations since 1950 . Papers on Computer Vision and Pattern Recognition are most often about the specific topic of Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, Image and Signal Denoising Methods, Robotic Path Planning Algorithms, Image Retrieval and Classification Techniques, Video Surveillance and Tracking Methods, Robotics and Sensor-Based Localization and Optical measurement and interference techniques and also cover the fields of Media Technology, Signal Processing, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Artificial Intelligence. Papers citing work on Computer Vision and Pattern Recognition are usually about Media Technology, Computer Graphics and Computer-Aided Design, Signal Processing, Human-Computer Interaction and Artificial Intelligence. Some of the most active scholars covering Computer Vision and Pattern Recognition are Leo Breiman, Geoffrey E. Hinton, Kaiming He, David Lowe, David L. Donoho, Andrew Zisserman, Shaoqing Ren, Ross Girshick, Yoshua Bengio and Xiangyu Zhang.
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.