Signal Image and Video Processing

3.4k papers and 24.4k indexed citations i.

About

The 3.4k papers published in Signal Image and Video Processing in the last decades have received a total of 24.4k indexed citations. Papers published in Signal Image and Video Processing usually cover Computer Vision and Pattern Recognition (2.3k papers), Media Technology (634 papers) and Signal Processing (631 papers) specifically the topics of Image and Signal Denoising Methods (522 papers), Advanced Image Processing Techniques (395 papers) and Image Enhancement Techniques (335 papers). The most active scholars publishing in Signal Image and Video Processing are B. K. Shreyamsha Kumar, Kai‐Kuang Ma, Jing Tian, Adrian Stern, R. S. Anand, M. L. Dewal, Walid Hariri, Önsen Toygar, Xue Yang and Nagur Shareef Shaik.

In The Last Decade

Fields of papers published in Signal Image and Video Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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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2025