Saiprasad Ravishankar
-
- Image and Signal Denoising Methods 10
- Advanced Image Processing Techniques 6
- Media Technology top 10%
-
- Medical Imaging Techniques and Applications 19
- Advanced MRI Techniques and Applications 13
- Radiation Dose and Imaging 3
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques 20
-
- Advanced X-ray and CT Imaging 10
- Photoacoustic and Ultrasonic Imaging 9
- Co-authors
- Jeffrey A. FesslerBihan WenRaj Rao NadakuditiIl Yong ChunBrian E. MooreChe‐Hung LiuMinmin ZhouTheodore B. Norris
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRadiology, Nuclear Medicine and Imaging
- Journals
- Nature Photonics (1 paper)IEEE Transactions on Image Processing (2 papers)Optics Express (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Saiprasad Ravishankar
38 papers receiving 379 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 135
- Media Technology 52
- Radiology, Nuclear Medicine and Imaging 136
- Computational Mechanics 105
- Computational Mathematics 3
Countries citing papers authored by Saiprasad Ravishankar
This map shows the geographic impact of Saiprasad Ravishankar'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 Saiprasad Ravishankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiprasad Ravishankar more than expected).
Fields of papers citing papers by Saiprasad Ravishankar
This network shows the impact of papers produced by Saiprasad Ravishankar. 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 Saiprasad Ravishankar. The network helps show where Saiprasad Ravishankar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saiprasad Ravishankar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 38 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 12 | |
| 18 | 2017 | 22 | |
| 19 | 2017 | 47 | |
| 20 | 2017 | 1 |
About Saiprasad Ravishankar
Saiprasad Ravishankar is a scholar working on Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 383 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (20 papers), Medical Imaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (13 papers), Image and Signal Denoising Methods (10 papers), Advanced X-ray and CT Imaging (10 papers), Photoacoustic and Ultrasonic Imaging (9 papers), Advanced Image Processing Techniques (6 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Media Technology (52 citations) and Radiology, Nuclear Medicine and Imaging (136 citations). Saiprasad Ravishankar has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Jeffrey A. Fessler, Bihan Wen, Raj Rao Nadakuditi, Il Yong Chun, Brian E. Moore, Che‐Hung Liu, Minmin Zhou, Theodore B. Norris, Zhaohui Zhong and Yong Long. Their work appears in journals such as Nature Photonics, IEEE Transactions on Image Processing and Optics Express.
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.