Utkarsh Sinha
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Reservoir Engineering and Simulation Methods 4
- Oil and Gas Production Techniques 2
- Drilling and Well Engineering 2
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- AI in cancer detection 3
- Co-authors
- Soumya Ranjan Nayak (5 shared papers)Vaibhav Arora (5 shared papers)Ram Bilas Pachori (2 shared papers)Deepak Ranjan Nayak (2 shared papers)Janmenjoy Nayak (2 shared papers)Ramesh Chandra Poonia (1 shared paper)Suresh Chandra Satapathy (1 shared paper)Uttam Ghosh (1 shared paper)
- Journals
- Arabian Journal for Science and Engineering (1 paper)Biomedical Signal Processing and Control (1 paper)Diagnostics (1 paper)Expert Systems (1 paper)Journal of Interdisciplinary Mathematics (1 paper)
- Partner nations
- IndiaBelgiumUnited Arab Emirates
In The Last Decade
Utkarsh Sinha
10 papers receiving 346 citations
Utkarsh Sinha's Hit Papers
Peers
Comparison fields: 5 of 65
- Health Informatics 44
- Radiology, Nuclear Medicine and Imaging 295
- Artificial Intelligence 196
- General Dentistry 11
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by Utkarsh Sinha
This map shows the geographic impact of Utkarsh Sinha'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 Utkarsh Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utkarsh Sinha more than expected).
Fields of papers citing papers by Utkarsh Sinha
This network shows the impact of papers produced by Utkarsh Sinha. 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 Utkarsh Sinha. The network helps show where Utkarsh Sinha may publish in the future.
Co-authors
The 12 scholars most cited alongside Utkarsh Sinha, 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 | Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study Hit paper breakdown → | 2020 | 277 |
| 2 | 2022 | 28 | |
| 3 | 2021 | 23 | |
| 4 | 2020 | 16 | |
| 5 | 2021 | 8 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 2 | |
| 10 | Human Behavior Assessment using Ensemble Models | 2020 | 1 |
| 11 | 2023 | 1 | |
| 12 | OpenCV 3 Blueprints: Expand your knowledge of computer vision by building amazing projects with OpenCV 3 | 2015 | 1 |
| 13 | 2023 | 0 |
About Utkarsh Sinha
Utkarsh Sinha is a scholar working on Ocean Engineering, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 368 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Reservoir Engineering and Simulation Methods (4 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), AI in cancer detection (3 papers), Digital Imaging for Blood Diseases (2 papers), Oil and Gas Production Techniques (2 papers), Drilling and Well Engineering (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (44 citations), Radiology, Nuclear Medicine and Imaging (295 citations), Artificial Intelligence (196 citations), General Dentistry (11 citations) and Computer Vision and Pattern Recognition (66 citations). Utkarsh Sinha has collaborated with scholars based in India, Belgium and United Arab Emirates. Frequent co-authors include Soumya Ranjan Nayak, Vaibhav Arora, Ram Bilas Pachori, Deepak Ranjan Nayak, Janmenjoy Nayak, Ramesh Chandra Poonia, Suresh Chandra Satapathy, Uttam Ghosh, Sathish Sankaran and S. Vimal. Their work appears in journals such as Arabian Journal for Science and Engineering, Biomedical Signal Processing and Control, Diagnostics, Expert Systems and Journal of Interdisciplinary Mathematics.
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.