Sandeepa Sur
Impact in
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- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
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- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
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- Functional Brain Connectivity Studies 4
- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 2
- Neuroscience and Music Perception 2
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- Advanced MRI Techniques and Applications 5
- Optical Imaging and Spectroscopy Techniques 2
- Co-authors
- Hanzhang Lu (10 shared papers)Peiying Liu (9 shared papers)Zixuan Lin (9 shared papers)Marilyn Albert (7 shared papers)Paul B. Rosenberg (7 shared papers)Yang Li (4 shared papers)Sevil Yaşar (7 shared papers)Jay J. Pillai (6 shared papers)
- Journals
- Neurology (2 papers)NeuroImage (2 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Journal of Magnetic Resonance Imaging (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesTaiwanPoland
In The Last Decade
Sandeepa Sur
15 papers receiving 502 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 171
- Neurology 54
- Cognitive Neuroscience 99
- Neurology 64
- Psychiatry and Mental health 61
Countries citing papers authored by Sandeepa Sur
This map shows the geographic impact of Sandeepa Sur'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 Sandeepa Sur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeepa Sur more than expected).
Fields of papers citing papers by Sandeepa Sur
This network shows the impact of papers produced by Sandeepa Sur. 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 Sandeepa Sur. The network helps show where Sandeepa Sur may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandeepa Sur, 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 | 2014 | 102 | |
| 2 | 2021 | 99 | |
| 3 | 2018 | 69 | |
| 4 | 2020 | 54 | |
| 5 | 2020 | 47 | |
| 6 | 2019 | 28 | |
| 7 | 2019 | 27 | |
| 8 | 2020 | 26 | |
| 9 | 2014 | 19 | |
| 10 | 2019 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2024 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2024 | 0 |
About Sandeepa Sur
Sandeepa Sur is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Epidemiology and Psychiatry and Mental health, having authored 16 papers that have together received 507 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Functional Brain Connectivity Studies (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Neural dynamics and brain function (2 papers), Dementia and Cognitive Impairment Research (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Neuroscience and Music Perception (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (171 citations), Neurology (54 citations), Cognitive Neuroscience (99 citations), Neurology (64 citations) and Psychiatry and Mental health (61 citations). Sandeepa Sur has collaborated with scholars based in United States, Taiwan and Poland. Frequent co-authors include Hanzhang Lu, Peiying Liu, Zixuan Lin, Marilyn Albert, Paul B. Rosenberg, Yang Li, Sevil Yaşar, Jay J. Pillai, Abhay Moghekar and Dengrong Jiang. Their work appears in journals such as Neurology, NeuroImage, Journal of Cerebral Blood Flow & Metabolism, Journal of Magnetic Resonance Imaging and Alzheimer s & Dementia.
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.