David Sarrut
Impact in
- Radiation top 0.05%
- Advanced Radiotherapy Techniques
- Radiation Detection and Scintillator Technologies
- Nuclear Physics and Applications
-
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
Papers in
- Radiation 105
- Advanced Radiotherapy Techniques 86
- Radiation Detection and Scintillator Technologies 30
- Nuclear Physics and Applications 8
-
- Medical Imaging Techniques and Applications 81
- Radiomics and Machine Learning in Medical Imaging 15
David Sarrut
133 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Radiation 2.9k
- Radiology, Nuclear Medicine and Imaging 2.4k
- Pulmonary and Respiratory Medicine 2.1k
- Biomedical Engineering 855
- Computer Vision and Pattern Recognition 350
Countries citing papers authored by David Sarrut
This map shows the geographic impact of David Sarrut'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 David Sarrut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sarrut more than expected).
Fields of papers citing papers by David Sarrut
This network shows the impact of papers produced by David Sarrut. 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 David Sarrut. The network helps show where David Sarrut may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Sarrut, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | Monte Carlo Modeling of Elekta VERSA HD for Out-of-Field Dose Characterization | 2024 | 0 |
| 4 | GATE 10: A new versatile Python-driven Geant4 application for medical physics | 2024 | 1 |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 26 | |
| 14 | 2019 | 24 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 18 | |
| 18 | 2017 | 90 | |
| 19 | 2014 | 4 | |
| 20 | 2013 | 50 |
About David Sarrut
David Sarrut is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 142 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (86 papers), Medical Imaging Techniques and Applications (81 papers), Radiation Therapy and Dosimetry (42 papers), Radiation Detection and Scintillator Technologies (30 papers), Advanced X-ray and CT Imaging (20 papers), Lung Cancer Diagnosis and Treatment (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Nuclear Physics and Applications (8 papers). The work is most often cited by research in Radiation (2.9k citations), Radiology, Nuclear Medicine and Imaging (2.4k citations), Pulmonary and Respiratory Medicine (2.1k citations), Biomedical Engineering (855 citations) and Computer Vision and Pattern Recognition (350 citations). David Sarrut has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Simon Rit, Loïc Grevillot, Vlad Boldea, N. Freud, Jean Michel Létang, G Sharp, T. Frisson, Irène Buvat, Lydia Maigne and U. Pietrzyk. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Physica Medica, Radiotherapy and Oncology and EJNMMI Physics.
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.