Utkarsh Sinha
Impact in
- Health Informatics top 5%
Papers in
-
- Reservoir Engineering and Simulation Methods 4
- Drilling and Well Engineering 2
- Oil and Gas Production Techniques 2
-
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Vaibhav Arora (5 shared papers)Soumya Ranjan Nayak (6 shared papers)Deepak Ranjan Nayak (2 shared papers)Ram Bilas Pachori (2 shared papers)Janmenjoy Nayak (2 shared papers)Suresh Chandra Satapathy (1 shared paper)Uttam Ghosh (1 shared paper)Sathish Sankaran (6 shared papers)
- Journals
- Biomedical Signal Processing and Control (1 paper)Arabian Journal for Science and Engineering (1 paper)The Lancet (1 paper)Expert Systems (1 paper)Diagnostics (1 paper)
- Partner nations
- IndiaAustraliaUnited Arab Emirates
In The Last Decade
Utkarsh Sinha
12 papers receiving 780 citations
Utkarsh Sinha's Hit Papers
Peers
Comparison fields: 5 of 105
- Health Informatics 42
- Applied Microbiology and Biotechnology 44
- Radiology, Nuclear Medicine and Imaging 324
- Infectious Diseases 248
- General Dentistry 11
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 11 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 | Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial Hit paper breakdown → | 2021 | 403 |
| 2 | Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study Hit paper breakdown → | 2020 | 309 |
| 3 | 2022 | 32 | |
| 4 | 2021 | 28 | |
| 5 | 2020 | 17 | |
| 6 | 2021 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2024 | 1 | |
| 13 | Human Behavior Assessment using Ensemble Models | 2020 | 1 |
| 14 | 2023 | 0 |
About Utkarsh Sinha
Utkarsh Sinha is a scholar working on Ocean Engineering, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 14 papers that have together received 815 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (4 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers), Drilling and Well Engineering (2 papers), Oil and Gas Production Techniques (2 papers), Digital Imaging for Blood Diseases (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (42 citations), Applied Microbiology and Biotechnology (44 citations), Radiology, Nuclear Medicine and Imaging (324 citations), Infectious Diseases (248 citations) and General Dentistry (11 citations). Utkarsh Sinha has collaborated with scholars based in India, Australia and United Arab Emirates. Frequent co-authors include Vaibhav Arora, Soumya Ranjan Nayak, Deepak Ranjan Nayak, Ram Bilas Pachori, Janmenjoy Nayak, Suresh Chandra Satapathy, Uttam Ghosh, Sathish Sankaran, Ramesh Chandra Poonia and Shanmuganathan Vimal. Their work appears in journals such as Biomedical Signal Processing and Control, Arabian Journal for Science and Engineering, The Lancet, Expert Systems and Diagnostics.
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.