Countries where authors publish in Signal Image and Video Processing
Since Specialization
Citations
This map shows the geographic impact of research published in Signal Image and Video Processing. 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 Signal Image and Video Processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Signal Image and Video Processing more than expected).
Fields of papers published in Signal Image and Video Processing
This network shows the impact of papers published in Signal Image and Video Processing. 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 Signal Image and Video Processing.
About Signal Image and Video Processing
The 4.1k papers published in Signal Image and Video Processing in the last decades have received a total of 32.5k indexed citations . Papers published in Signal Image and Video Processing usually cover Computer Vision and Pattern Recognition (2.7k papers), Media Technology (730 papers), Signal Processing (694 papers), Human-Computer Interaction (110 papers) and Artificial Intelligence (598 papers) specifically the topics of Image and Signal Denoising Methods (583 papers), Advanced Image Processing Techniques (469 papers), Video Surveillance and Tracking Methods (407 papers), Image Enhancement Techniques (404 papers), Advanced Image Fusion Techniques (385 papers), Advanced Neural Network Applications (377 papers), Advanced Vision and Imaging (344 papers) and Advanced Image and Video Retrieval Techniques (293 papers). The most active scholars publishing in Signal Image and Video Processing are B. K. Shreyamsha Kumar, Walid Hariri, Kai‐Kuang Ma, Jing Tian, R. S. Anand, M. L. Dewal, Adrian Stern, Richard Dosselmann, Xue Yang and Nagur Shareef Shaik.
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.