Vignesh V Menon
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Sociology and Political Science
- Artificial Intelligence
- Media Technology
- Co-authors
- Christian TimmererHadi AmirpourM. GhanbariChristian FeldmannSamira AfzalKlaus SchoeffmannBenjamin BrossRadu Prodan
- Topics
- Video Coding and Compression Technologies (25 papers)Image and Video Quality Assessment (23 papers)Advanced Data Compression Techniques (13 papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyACM Transactions on Multimedia Computing Communications and ApplicationsProceedings of the 30th ACM International Conference on Multimedia
- Partner nations
- AustriaUnited KingdomGermany
In The Last Decade
Vignesh V Menon
27 papers receiving 220 citations
Peers
Comparison fields: 5 of 21
- Computer Vision and Pattern Recognition 189
- Signal Processing 157
- Sociology and Political Science 32
- Artificial Intelligence 14
- Media Technology 14
Countries citing papers authored by Vignesh V Menon
This map shows the geographic impact of Vignesh V Menon's research. 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 Vignesh V Menon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vignesh V Menon more than expected).
Fields of papers citing papers by Vignesh V Menon
This network shows the impact of papers produced by Vignesh V Menon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vignesh V Menon. The network helps show where Vignesh V Menon may publish in the future.
Co-authorship network of co-authors of Vignesh V Menon
This figure shows the co-authorship network connecting the top 25 collaborators of Vignesh V Menon. A scholar is included among the top collaborators of Vignesh V Menon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vignesh V Menon. Vignesh V Menon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 17 | |
| 17 | 38 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 7 |
About Vignesh V Menon
Vignesh V Menon is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 30 papers that have together received 222 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (25 papers), Image and Video Quality Assessment (23 papers) and Advanced Data Compression Techniques (13 papers). The work is most often cited by research in Signal Processing (157 citations), Computer Vision and Pattern Recognition (189 citations) and Media Technology (14 citations). Vignesh V Menon has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Christian Timmerer, Hadi Amirpour, M. Ghanbari, Christian Feldmann, Samira Afzal, Klaus Schoeffmann, Benjamin Bross, Radu Prodan, Detlev Marpe and Christian R. Helmrich. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications and Proceedings of the 30th ACM International Conference on Multimedia.
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.