Y.V. Venkatesh
- Computer Vision and Pattern Recognition top 1%
- Experimental and Cognitive Psychology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Ophthalmology top 5%
- Co-authors
- Cheng XiangDong HuangHai LinE. Y. K. NgU. Rajendra AcharyaCaroline CheeLim Choo MinAshraf A. Kassim
- Topics
- Stability and Control of Uncertain Systems (14 papers)Stability and Controllability of Differential Equations (12 papers)Image and Signal Denoising Methods (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionExperimental and Cognitive Psychology
In The Last Decade
Y.V. Venkatesh
66 papers receiving 978 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 714
- Experimental and Cognitive Psychology 237
- Radiology, Nuclear Medicine and Imaging 185
- Artificial Intelligence 133
- Ophthalmology 132
Countries citing papers authored by Y.V. Venkatesh
This map shows the geographic impact of Y.V. Venkatesh'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 Y.V. Venkatesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y.V. Venkatesh more than expected).
Fields of papers citing papers by Y.V. Venkatesh
This network shows the impact of papers produced by Y.V. Venkatesh. 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 Y.V. Venkatesh. The network helps show where Y.V. Venkatesh may publish in the future.
Co-authorship network of co-authors of Y.V. Venkatesh
This figure shows the co-authorship network connecting the top 25 collaborators of Y.V. Venkatesh. A scholar is included among the top collaborators of Y.V. Venkatesh 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 Y.V. Venkatesh. Y.V. Venkatesh 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 | 2 | |
| 3 | 2 | |
| 4 | On a frequency-domain L 2 -stability condition for a class of switched linear systems | 1 |
| 5 | 8 | |
| 6 | 25 | |
| 7 | 6 | |
| 8 | 73 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | On an optimal and faster construction of linear quadtrees from raster-scanned images | 1 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 0 | |
| 20 | 1 |
About Y.V. Venkatesh
Y.V. Venkatesh is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (14 papers), Stability and Controllability of Differential Equations (12 papers) and Image and Signal Denoising Methods (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (714 citations), Human-Computer Interaction (121 citations) and Experimental and Cognitive Psychology (237 citations). Y.V. Venkatesh has collaborated with scholars based in India, Singapore and Australia. Frequent co-authors include Cheng Xiang, Dong Huang, Hai Lin, E. Y. K. Ng, U. Rajendra Acharya, Caroline Chee, Lim Choo Min, Ashraf A. Kassim, S. Ranganath and Donglin Cao. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.
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.