Sandeep Kaushik
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering
- Radiation top 5%
- Atomic and Molecular Physics, and Optics
- Surgery
- Co-authors
- Florian WiesingerDattesh ShanbhagGaspar DelsoPeder E. Z. LarsonThomas A. HopeJaewon YangYoungho SeoLaura Sacolick
- Topics
- Medical Imaging Techniques and Applications (16 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Advanced MRI Techniques and Applications (9 papers)
- Journals
- PLoS ONENeuroImageScientific Reports
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Sandeep Kaushik
19 papers receiving 827 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 743
- Biomedical Engineering 253
- Radiation 127
- Atomic and Molecular Physics, and Optics 90
- Surgery 51
Countries citing papers authored by Sandeep Kaushik
This map shows the geographic impact of Sandeep Kaushik'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 Sandeep Kaushik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Kaushik more than expected).
Fields of papers citing papers by Sandeep Kaushik
This network shows the impact of papers produced by Sandeep Kaushik. 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 Sandeep Kaushik. The network helps show where Sandeep Kaushik may publish in the future.
Co-authorship network of co-authors of Sandeep Kaushik
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Kaushik. A scholar is included among the top collaborators of Sandeep Kaushik 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 Sandeep Kaushik. Sandeep Kaushik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | Bayesian deep learning Uncertainty estimation and pseudo-CT prior for robust Maximum Likelihood estimation of Activity and Attenuation (UpCT-MLAA) in the presence of metal implants for simultaneous PET/MRI in the pelvis | 1 |
| 5 | 3 | |
| 6 | 36 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 26 | |
| 11 | 0 | |
| 12 | 76 | |
| 13 | 188 | |
| 14 | 33 | |
| 15 | 64 | |
| 16 | 102 | |
| 17 | 170 | |
| 18 | 5 | |
| 19 | 77 | |
| 20 | Video Compression Technique | 2 |
About Sandeep Kaushik
Sandeep Kaushik is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering, having authored 20 papers that have together received 830 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced MRI Techniques and Applications (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (743 citations), Radiation (127 citations) and Biomedical Engineering (253 citations). Sandeep Kaushik has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Florian Wiesinger, Dattesh Shanbhag, Gaspar Delso, Peder E. Z. Larson, Thomas A. Hope, Jaewon Yang, Youngho Seo, Laura Sacolick, Patrick Veit‐Haibach and Sangtae Ahn. Their work appears in journals such as PLoS ONE, NeuroImage 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.