Sonit Singh
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Topic Modeling 6
- AI in cancer detection 5
- Natural Language Processing Techniques 2
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- Multimodal Machine Learning Applications 6
- Image Retrieval and Classification Techniques 2
- Co-authors
- Sarvnaz Karimi (6 shared papers)Len Hamey (4 shared papers)Kevin Ho‐Shon (4 shared papers)Arcot Sowmya (6 shared papers)Amany Zekry (1 shared paper)Xiang Dai (2 shared papers)Anthony Nguyen (2 shared papers)Johannes Stegmaier (1 shared paper)
- Journals
- Journal of Medical Systems (1 paper)Neural Computing and Applications (1 paper)JMIR Medical Informatics (2 papers)UNSWorks (University of New South Wales, Sydney, Australia) (1 paper)Journal of Imaging Informatics in Medicine (1 paper)
In The Last Decade
Sonit Singh
16 papers receiving 170 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 85
- Artificial Intelligence 105
- Computer Vision and Pattern Recognition 64
- Health Information Management 14
Countries citing papers authored by Sonit Singh
This map shows the geographic impact of Sonit Singh'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 Sonit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonit Singh more than expected).
Fields of papers citing papers by Sonit Singh
This network shows the impact of papers produced by Sonit Singh. 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 Sonit Singh. The network helps show where Sonit Singh may publish in the future.
Co-authors
The 12 scholars most cited alongside Sonit Singh, 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 | 2012 | 81 | |
| 2 | 2023 | 24 | |
| 3 | 2019 | 18 | |
| 4 | 2018 | 16 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 7 | |
| 8 | 2014 | 7 | |
| 9 | 2018 | 5 | |
| 10 | 2014 | 5 | |
| 11 | Biomedical concept detection in medical images: MQ-CSIRO at 2019 ImageCLEFmed caption task | 2019 | 4 |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | IMAGE COMPRESSION TECHNIQUES FOR MEDICAL IMAGES: A REVIEW | 2012 | 2 |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Sonit Singh
Sonit Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 19 papers that have together received 202 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Topic Modeling (6 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Natural Language Processing Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Artificial Intelligence (105 citations), Computer Vision and Pattern Recognition (64 citations) and Health Information Management (14 citations). Sonit Singh has collaborated with scholars based in Australia, India and Germany. Frequent co-authors include Sarvnaz Karimi, Len Hamey, Kevin Ho‐Shon, Arcot Sowmya, Amany Zekry, Xiang Dai, Anthony Nguyen, Johannes Stegmaier, Bahman Javadi and Susann Beier. Their work appears in journals such as Journal of Medical Systems, Neural Computing and Applications, JMIR Medical Informatics, UNSWorks (University of New South Wales, Sydney, Australia) and Journal of Imaging Informatics 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.