S. Ramani
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- Medical Imaging Techniques and Applications 5
- Advanced MRI Techniques and Applications 3
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 7
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- Image and Signal Denoising Methods 4
- Mathematical Physics top 10%
- Numerical methods in inverse problems 3
- Media Technology top 5%
- Advanced Image Fusion Techniques 1
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- Mathematical Analysis and Transform Methods 2
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- Geophysical and Geoelectrical Methods 1
- Co-authors
- Jeffrey A. FesslerMichaël UnserThierry BluZhihao LiuJeffrey M. RosenJon‐Fredrik NielsenCédric VoneschP. Thévenaz
- Cited by
- Radiology, Nuclear Medicine and ImagingComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Medical Imaging (3 papers)IEEE Transactions on Image Processing (2 papers)IEEE Signal Processing Letters (1 paper)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
S. Ramani
10 papers receiving 753 citations
Peers
Comparison fields: 5 of 69
- Radiology, Nuclear Medicine and Imaging 438
- Computational Mechanics 348
- Computer Vision and Pattern Recognition 274
- Mathematical Physics 83
- Media Technology 78
Countries citing papers authored by S. Ramani
This map shows the geographic impact of S. Ramani'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 S. Ramani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Ramani more than expected).
Fields of papers citing papers by S. Ramani
This network shows the impact of papers produced by S. Ramani. 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 S. Ramani. The network helps show where S. Ramani may publish in the future.
Co-authorship network
The 9 scholars most cited alongside S. Ramani, 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 | 2012 | 122 | |
| 2 | 2011 | 187 | |
| 3 | 2011 | 9 | |
| 4 | 2010 | 12 | |
| 5 | 2010 | 161 | |
| 6 | 2008 | 243 | |
| 7 | 2008 | 33 | |
| 8 | 2006 | 6 | |
| 9 | 2006 | 6 | |
| 10 | 2005 | 6 |
About S. Ramani
S. Ramani is a scholar working on Computational Mechanics, Mathematical Physics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 10 papers that have together received 785 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (7 papers), Medical Imaging Techniques and Applications (5 papers), Image and Signal Denoising Methods (4 papers), Advanced MRI Techniques and Applications (3 papers), Numerical methods in inverse problems (3 papers), Mathematical Analysis and Transform Methods (2 papers), Advanced Image Fusion Techniques (1 paper) and Geophysical and Geoelectrical Methods (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (438 citations), Computational Mechanics (348 citations), Computer Vision and Pattern Recognition (274 citations), Mathematical Physics (83 citations) and Media Technology (78 citations). S. Ramani has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Jeffrey A. Fessler, Michaël Unser, Thierry Blu, Zhihao Liu, Jeffrey M. Rosen, Jon‐Fredrik Nielsen, Cédric Vonesch, P. Thévenaz and Dimitri Van De Ville. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Image Processing, IEEE Signal Processing Letters and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.