Vishal M. Patel
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.5%
- Signal Processing top 0.2%
- Media Technology top 0.1%
- Computational Mechanics top 0.5%
- Co-authors
- Rama ChellappaHe ZhangVishwanath A. SindagiJun-Cheng ChenHien Van NguyenJeya Maria Jose ValanarasuNalini RathaRenè Vidal
- Topics
- Face recognition and analysis (52 papers)Face and Expression Recognition (43 papers)Sparse and Compressive Sensing Techniques (41 papers)
- Journals
- Environmental Science & TechnologyIEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of Physical Chemistry
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Vishal M. Patel
258 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Computer Vision and Pattern Recognition 7.8k
- Artificial Intelligence 2.6k
- Signal Processing 2.1k
- Media Technology 1.9k
- Computational Mechanics 1.2k
Countries citing papers authored by Vishal M. Patel
This map shows the geographic impact of Vishal M. Patel'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 Vishal M. Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishal M. Patel more than expected).
Fields of papers citing papers by Vishal M. Patel
This network shows the impact of papers produced by Vishal M. Patel. 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 Vishal M. Patel. The network helps show where Vishal M. Patel may publish in the future.
Co-authorship network of co-authors of Vishal M. Patel
This figure shows the co-authorship network connecting the top 25 collaborators of Vishal M. Patel. A scholar is included among the top collaborators of Vishal M. Patel 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 Vishal M. Patel. Vishal M. Patel 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 | 3 | |
| 5 | 53 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 58 | |
| 9 | 18 | |
| 10 | KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentationbreakdown → | 179 |
| 11 | 13 | |
| 12 | 21 | |
| 13 | 15 | |
| 14 | Image De-Raining Using a Conditional Generative Adversarial Networkbreakdown → | 714 |
| 15 | 128 | |
| 16 | 126 | |
| 17 | 18 | |
| 18 | 15 | |
| 19 | 75 | |
| 20 | 21 |
About Vishal M. Patel
Vishal M. Patel is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 273 papers that have together received 11.5k indexed citations. Recurring topics across this work include Face recognition and analysis (52 papers), Face and Expression Recognition (43 papers) and Sparse and Compressive Sensing Techniques (41 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.8k citations), Media Technology (1.9k citations) and Signal Processing (2.1k citations). Vishal M. Patel has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Rama Chellappa, He Zhang, Vishwanath A. Sindagi, Jun-Cheng Chen, Hien Van Nguyen, Jeya Maria Jose Valanarasu, Nalini Ratha, Renè Vidal, Mahdi Abavisani and Ruonan Li. Their work appears in journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Physical Chemistry.
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.