Sushmita Datta
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 10%
- Brain Tumor Detection and Classification
- Peripheral Neuropathies and Disorders
Papers in
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- Ultrasound Imaging and Elastography 3
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced Neuroimaging Techniques and Applications 3
- Medical Imaging Techniques and Applications 2
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- Multiple Sclerosis Research Studies 10
- Co-authors
- Ponnada A. Narayana (27 shared papers)Jerry S. Wolinsky (15 shared papers)Renjie He (10 shared papers)Balasrinivasa R. Sajja (5 shared papers)Flavia Nelson (4 shared papers)Guozhi Tao (6 shared papers)Rakesh Gupta (2 shared papers)Gary Cutter (4 shared papers)
- Journals
- Multiple Sclerosis Journal (4 papers)Journal of Magnetic Resonance Imaging (3 papers)NeuroImage Clinical (2 papers)Journal of the Neurological Sciences (2 papers)Annals of Biomedical Engineering (2 papers)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Sushmita Datta
27 papers receiving 933 citations
Peers
Comparison fields: 5 of 91
- Pathology and Forensic Medicine 508
- Neurology 114
- Radiology, Nuclear Medicine and Imaging 195
- Computer Vision and Pattern Recognition 167
- Media Technology 60
Countries citing papers authored by Sushmita Datta
This map shows the geographic impact of Sushmita Datta'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 Sushmita Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushmita Datta more than expected).
Fields of papers citing papers by Sushmita Datta
This network shows the impact of papers produced by Sushmita Datta. 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 Sushmita Datta. The network helps show where Sushmita Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushmita Datta, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 104 | |
| 2 | 2011 | 95 | |
| 3 | 2012 | 74 | |
| 4 | 2009 | 73 | |
| 5 | 2019 | 69 | |
| 6 | 2005 | 68 | |
| 7 | 2013 | 63 | |
| 8 | 2013 | 42 | |
| 9 | 2011 | 42 | |
| 10 | 2010 | 37 | |
| 11 | 2007 | 36 | |
| 12 | 2010 | 35 | |
| 13 | 2018 | 35 | |
| 14 | 2013 | 33 | |
| 15 | 2008 | 32 | |
| 16 | 2015 | 27 | |
| 17 | 2009 | 23 | |
| 18 | 2015 | 15 | |
| 19 | 2013 | 14 | |
| 20 | 2009 | 13 |
About Sushmita Datta
Sushmita Datta is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition, Media Technology and Rheumatology, having authored 28 papers that have together received 973 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Multiple Sclerosis Research Studies (10 papers), Image Processing Techniques and Applications (4 papers), Ultrasound Imaging and Elastography (3 papers), Systemic Lupus Erythematosus Research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (508 citations), Neurology (114 citations), Radiology, Nuclear Medicine and Imaging (195 citations), Computer Vision and Pattern Recognition (167 citations) and Media Technology (60 citations). Sushmita Datta has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Ponnada A. Narayana, Jerry S. Wolinsky, Renjie He, Balasrinivasa R. Sajja, Flavia Nelson, Guozhi Tao, Rakesh Gupta, Gary Cutter, Fred Lublin and Khader M. Hasan. Their work appears in journals such as Multiple Sclerosis Journal, Journal of Magnetic Resonance Imaging, NeuroImage Clinical, Journal of the Neurological Sciences and Annals of Biomedical Engineering.
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.