Sunanda Mitra
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
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- Image and Signal Denoising Methods 28
- Advanced Data Compression Techniques 26
- Medical Image Segmentation Techniques 18
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- Neural Networks and Applications 10
- AI in cancer detection 10
- Co-authors
- Brian Nutter (41 shared papers)Iván Bódis-Wollner (1 shared paper)L. Mylin (1 shared paper)Melvin D. Yahr (1 shared paper)Marcia S. Marx (1 shared paper)Phyllis Bobak (1 shared paper)L. Rodney Long (16 shared papers)Thomas F. Krile (7 shared papers)
- Journals
- Applied Physics Letters (2 papers)Journal of Lower Genital Tract Disease (2 papers)NeuroImage (2 papers)Advanced Functional Materials (1 paper)Network Neuroscience (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Sunanda Mitra
109 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 301
- Cognitive Neuroscience 223
- Neurology 78
- Neurology 103
- Radiology, Nuclear Medicine and Imaging 155
Countries citing papers authored by Sunanda Mitra
This map shows the geographic impact of Sunanda Mitra'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 Sunanda Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunanda Mitra more than expected).
Fields of papers citing papers by Sunanda Mitra
This network shows the impact of papers produced by Sunanda Mitra. 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 Sunanda Mitra. The network helps show where Sunanda Mitra may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunanda Mitra, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 232 | |
| 2 | 2016 | 71 | |
| 3 | 2020 | 62 | |
| 4 | 2017 | 45 | |
| 5 | 2020 | 44 | |
| 6 | 2015 | 34 | |
| 7 | 2018 | 32 | |
| 8 | 1994 | 30 | |
| 9 | 1988 | 29 | |
| 10 | 2005 | 26 | |
| 11 | 2009 | 25 | |
| 12 | 2018 | 21 | |
| 13 | 2004 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 1989 | 18 | |
| 16 | 1988 | 17 | |
| 17 | 1999 | 17 | |
| 18 | 1985 | 17 | |
| 19 | 2018 | 16 | |
| 20 | 2006 | 15 |
About Sunanda Mitra
Sunanda Mitra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Cognitive Neuroscience, having authored 118 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (28 papers), Advanced Data Compression Techniques (26 papers), Medical Image Segmentation Techniques (18 papers), Neural Networks and Applications (10 papers), Functional Brain Connectivity Studies (10 papers), AI in cancer detection (10 papers), Advanced MRI Techniques and Applications (10 papers) and Retinal Imaging and Analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (301 citations), Cognitive Neuroscience (223 citations), Neurology (78 citations), Neurology (103 citations) and Radiology, Nuclear Medicine and Imaging (155 citations). Sunanda Mitra has collaborated with scholars based in United States, China and France. Frequent co-authors include Brian Nutter, Iván Bódis-Wollner, L. Mylin, Melvin D. Yahr, Marcia S. Marx, Phyllis Bobak, L. Rodney Long, Thomas F. Krile, David Bérardan and Sameer Antani. Their work appears in journals such as Applied Physics Letters, Journal of Lower Genital Tract Disease, NeuroImage, Advanced Functional Materials and Network Neuroscience.
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.