Sukrit Gupta
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
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- Brain Tumor Detection and Classification
Papers in
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- Functional Brain Connectivity Studies 8
- Neural dynamics and brain function 5
- EEG and Brain-Computer Interfaces 4
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- Advanced MRI Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Satya P. Singh (5 shared papers)A. Lay-Ekuakille (1 shared paper)Deepak Gangwar (1 shared paper)Madan Kumar Sharma (1 shared paper)Jagath C. Rajapakse (12 shared papers)Parasuraman Padmanabhan (3 shared papers)Balázs Gulyás (3 shared papers)Lipo Wang (2 shared papers)
- Journals
- IEEE Sensors Journal (2 papers)Internet Mathematics (1 paper)Neurocomputing (1 paper)Human Brain Mapping (1 paper)Alexandria Engineering Journal (1 paper)
- Partner nations
- SingaporeIndiaUnited States
In The Last Decade
Sukrit Gupta
17 papers receiving 333 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 137
- Neurology 26
- Cognitive Neuroscience 62
- Artificial Intelligence 88
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Sukrit Gupta
This map shows the geographic impact of Sukrit Gupta'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 Sukrit Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukrit Gupta more than expected).
Fields of papers citing papers by Sukrit Gupta
This network shows the impact of papers produced by Sukrit Gupta. 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 Sukrit Gupta. The network helps show where Sukrit Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sukrit Gupta, 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 | 2020 | 150 | |
| 2 | 2020 | 86 | |
| 3 | 2020 | 17 | |
| 4 | 2015 | 17 | |
| 5 | 2020 | 14 | |
| 6 | 2016 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2022 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2020 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2026 | 0 | |
| 20 | 2024 | 0 |
About Sukrit Gupta
Sukrit Gupta is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology and Computer Networks and Communications, having authored 20 papers that have together received 340 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (5 papers), Advanced MRI Techniques and Applications (4 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Graph Neural Networks (3 papers), Brain Tumor Detection and Classification (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (137 citations), Neurology (26 citations), Cognitive Neuroscience (62 citations), Artificial Intelligence (88 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Sukrit Gupta has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include Satya P. Singh, A. Lay-Ekuakille, Deepak Gangwar, Madan Kumar Sharma, Jagath C. Rajapakse, Parasuraman Padmanabhan, Balázs Gulyás, Lipo Wang, Roy E. Welsch and S. R. S. Iyengar. Their work appears in journals such as IEEE Sensors Journal, Internet Mathematics, Neurocomputing, Human Brain Mapping and Alexandria Engineering Journal.
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.