Nishant Ravikumar
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 18
- Advanced Neuroimaging Techniques and Applications 5
- Medical Imaging Techniques and Applications 5
- COVID-19 diagnosis using AI 5
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- Medical Image Segmentation Techniques 15
- Advanced Neural Network Applications 5
- Co-authors
- Alejandro F. Frangi (38 shared papers)Andreas Maier (11 shared papers)Zeike A. Taylor (13 shared papers)Sulaiman Vesal (5 shared papers)Andres Diaz‐Pinto (3 shared papers)Xiang Chen (4 shared papers)Yan Xia (9 shared papers)Stefan Neubauer (4 shared papers)
- Journals
- Medical Image Analysis (12 papers)npj Precision Oncology (2 papers)Nature Machine Intelligence (2 papers)Magnetic Resonance in Medicine (2 papers)Scientific Reports (1 paper)
- Partner nations
- United KingdomBelgiumGermany
In The Last Decade
Nishant Ravikumar
58 papers receiving 705 citations
Peers
Comparison fields: 5 of 101
- Radiology, Nuclear Medicine and Imaging 293
- Health Informatics 16
- Computer Vision and Pattern Recognition 198
- Ophthalmology 38
- Neurology 27
Countries citing papers authored by Nishant Ravikumar
This map shows the geographic impact of Nishant Ravikumar'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 Nishant Ravikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishant Ravikumar more than expected).
Fields of papers citing papers by Nishant Ravikumar
This network shows the impact of papers produced by Nishant Ravikumar. 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 Nishant Ravikumar. The network helps show where Nishant Ravikumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Nishant Ravikumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2022 | 58 | |
| 3 | 2017 | 49 | |
| 4 | 2021 | 46 | |
| 5 | 2015 | 38 | |
| 6 | 2023 | 36 | |
| 7 | 2021 | 36 | |
| 8 | 2017 | 29 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2023 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2020 | 11 |
About Nishant Ravikumar
Nishant Ravikumar is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 713 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Medical Image Segmentation Techniques (15 papers), AI in cancer detection (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Advanced Neural Network Applications (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (293 citations), Health Informatics (16 citations), Computer Vision and Pattern Recognition (198 citations), Ophthalmology (38 citations) and Neurology (27 citations). Nishant Ravikumar has collaborated with scholars based in United Kingdom, Belgium and Germany. Frequent co-authors include Alejandro F. Frangi, Andreas Maier, Zeike A. Taylor, Sulaiman Vesal, Andres Diaz‐Pinto, Xiang Chen, Yan Xia, Stefan Neubauer, Steffen E. Petersen and Christopher Noble. Their work appears in journals such as Medical Image Analysis, npj Precision Oncology, Nature Machine Intelligence, Magnetic Resonance in Medicine and Scientific Reports.
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.