Rishav Singh
Impact in
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- Face recognition and analysis
- Artificial Intelligence top 5%
- AI in cancer detection
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Face recognition and analysis 5
- Face and Expression Recognition 4
- Video Surveillance and Tracking Methods 4
- Human Pose and Action Recognition 3
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- Anomaly Detection Techniques and Applications 5
- Co-authors
- Sanjay Kumar Singh (10 shared papers)Amit Kumar Singh (6 shared papers)Abhinav Kumar (5 shared papers)Vandana Bharti (3 shared papers)Tanveer Ahmed (3 shared papers)Hari Om (5 shared papers)Sandeep S. Udmale (2 shared papers)Anil Pandey (1 shared paper)
In The Last Decade
Rishav Singh
30 papers receiving 581 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 245
- Neurology 43
- Radiology, Nuclear Medicine and Imaging 112
- Health Informatics 5
Countries citing papers authored by Rishav Singh
This map shows the geographic impact of Rishav Singh'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 Rishav Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishav Singh more than expected).
Fields of papers citing papers by Rishav Singh
This network shows the impact of papers produced by Rishav Singh. 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 Rishav Singh. The network helps show where Rishav Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Rishav Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 128 | |
| 2 | 2020 | 102 | |
| 3 | 2019 | 55 | |
| 4 | 2022 | 51 | |
| 5 | 2021 | 29 | |
| 6 | 2017 | 26 | |
| 7 | 2020 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 21 | |
| 11 | 2017 | 19 | |
| 12 | 2022 | 16 | |
| 13 | 2023 | 10 | |
| 14 | Illumination and Pose Invariant Face Recognition: A Technical Review | 2010 | 9 |
| 15 | 2023 | 9 | |
| 16 | 2024 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2017 | 4 |
About Rishav Singh
Rishav Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 598 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Face recognition and analysis (5 papers), Face and Expression Recognition (4 papers), Biometric Identification and Security (4 papers), COVID-19 diagnosis using AI (4 papers), Video Surveillance and Tracking Methods (4 papers), Advanced Fiber Optic Sensors (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Artificial Intelligence (245 citations), Neurology (43 citations), Radiology, Nuclear Medicine and Imaging (112 citations) and Health Informatics (5 citations). Rishav Singh has collaborated with scholars based in India, Portugal and Czechia. Frequent co-authors include Sanjay Kumar Singh, Amit Kumar Singh, Abhinav Kumar, Vandana Bharti, Tanveer Ahmed, Hari Om, Sandeep S. Udmale, Anil Pandey, Arun Kumar Sangaiah and Tapas Badal. Their work appears in journals such as IEEE Sensors Journal, Multimedia Tools and Applications, IEEE Transactions on Industrial Informatics, Photonics and Optical Fiber Technology.
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.