Suyash P. Awate
- Computational Mathematics top 5%
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- Medical Image Segmentation Techniques 28
- Image and Signal Denoising Methods 10
- Media Technology top 1%
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- Advanced MRI Techniques and Applications 15
- Advanced Neuroimaging Techniques and Applications 14
- Medical Imaging Techniques and Applications 10
- Biophysics top 5%
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- Functional Brain Connectivity Studies 12
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- Anomaly Detection Techniques and Applications 9
- Domain Adaptation and Few-Shot Learning 9
Suyash P. Awate
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Computational Mathematics 36
- Computer Vision and Pattern Recognition 715
- Media Technology 263
- Radiology, Nuclear Medicine and Imaging 545
- Biophysics 55
Countries citing papers authored by Suyash P. Awate
This map shows the geographic impact of Suyash P. Awate'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 Suyash P. Awate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyash P. Awate more than expected).
Fields of papers citing papers by Suyash P. Awate
This network shows the impact of papers produced by Suyash P. Awate. 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 Suyash P. Awate. The network helps show where Suyash P. Awate may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suyash P. Awate, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 2 | |
| 7 | 2015 | 23 | |
| 8 | 2014 | 21 | |
| 9 | Adaptive Sparsity in Gaussian Graphical Models | 2013 | 2 |
| 10 | 2013 | 7 | |
| 11 | 2010 | 25 | |
| 12 | 2010 | 46 | |
| 13 | 2009 | 37 | |
| 14 | 2008 | 31 | |
| 15 | 2007 | 53 | |
| 16 | 2007 | 86 | |
| 17 | 2007 | 14 | |
| 18 | 2006 | 89 | |
| 19 | 2006 | 9 | |
| 20 | 2005 | 15 |
About Suyash P. Awate
Suyash P. Awate is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics and Media Technology, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (28 papers), Advanced MRI Techniques and Applications (15 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Functional Brain Connectivity Studies (12 papers), Medical Imaging Techniques and Applications (10 papers), Image and Signal Denoising Methods (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). The work is most often cited by research in Computational Mathematics (36 citations), Computer Vision and Pattern Recognition (715 citations), Media Technology (263 citations), Radiology, Nuclear Medicine and Imaging (545 citations) and Biophysics (55 citations). Suyash P. Awate has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Ross Whitaker, James C. Gee, Tolga Taşdizen, Edward DiBella, Hui Zhang, Daniel J. Licht, Paul A. Yushkevich, Norman L. Foster, Zhuang Song and Ganesh Adluru. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, NeuroImage, Lecture notes in computer science and Magnetic Resonance in Medicine.
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.