Satyananda Kashyap
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Health Informatics top 2%
- Computer Vision and Pattern Recognition
- Pulmonary and Respiratory Medicine
- Co-authors
- Milan SonkaAlexandros KarargyrisJoy T. WuTanveer Syeda-MahmoodKen C. L. WongMehdi MoradiYaniv Gurİpek Oğuz
- Topics
- COVID-19 diagnosis using AI (6 papers)Osteoarthritis Treatment and Mechanisms (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Satyananda Kashyap
18 papers receiving 264 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 156
- Artificial Intelligence 87
- Health Informatics 56
- Computer Vision and Pattern Recognition 54
- Pulmonary and Respiratory Medicine 41
Countries citing papers authored by Satyananda Kashyap
This map shows the geographic impact of Satyananda Kashyap'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 Satyananda Kashyap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satyananda Kashyap more than expected).
Fields of papers citing papers by Satyananda Kashyap
This network shows the impact of papers produced by Satyananda Kashyap. 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 Satyananda Kashyap. The network helps show where Satyananda Kashyap may publish in the future.
Co-authorship network of co-authors of Satyananda Kashyap
This figure shows the co-authorship network connecting the top 25 collaborators of Satyananda Kashyap. A scholar is included among the top collaborators of Satyananda Kashyap based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Satyananda Kashyap. Satyananda Kashyap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. | 4 |
| 3 | 39 | |
| 4 | 21 | |
| 5 | Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification. | 2 |
| 6 | 9 | |
| 7 | 91 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 23 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 34 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 19 | |
| 17 | 3 | |
| 18 | 6 |
About Satyananda Kashyap
Satyananda Kashyap is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Rheumatology, having authored 18 papers that have together received 276 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (156 citations) and Artificial Intelligence (87 citations). Satyananda Kashyap has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Milan Sonka, Alexandros Karargyris, Joy T. Wu, Tanveer Syeda-Mahmood, Ken C. L. Wong, Mehdi Moradi, Yaniv Gur, İpek Oğuz, Vito Paolo Pastore and Jun Kong. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Osteoarthritis and Cartilage.
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.