F. Sureau
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- Medical Imaging Techniques and Applications 19
- Advanced MRI Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 4
- Radiation top 5%
- Astronomy and Astrophysics top 10%
- Radio Astronomy Observations and Technology 6
- Cosmology and Gravitation Theories 5
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- Advanced Vision and Imaging 5
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- Advanced X-ray and CT Imaging 7
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- Sparse and Compressive Sensing Techniques 4
- Co-authors
- Claude ComtatR. TrébossenIrène BuvatAndrew J. ReaderJean‐Luc StarckClaire LeroyMaria-João RibeiroJ. Bobin
- Journals
- Astronomy and Astrophysics (7 papers)Physics in Medicine and Biology (4 papers)Digital Signal Processing (1 paper)
- Partner nations
- FranceUnited KingdomBelgium
In The Last Decade
F. Sureau
31 papers receiving 654 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 432
- Radiation 137
- Astronomy and Astrophysics 90
- Computer Vision and Pattern Recognition 82
- Nuclear and High Energy Physics 43
Countries citing papers authored by F. Sureau
This map shows the geographic impact of F. Sureau'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 F. Sureau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Sureau more than expected).
Fields of papers citing papers by F. Sureau
This network shows the impact of papers produced by F. Sureau. 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 F. Sureau. The network helps show where F. Sureau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Sureau, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 5 | |
| 8 | 2018 | 0 | |
| 9 | 2017 | 13 | |
| 10 | Planck CMB Anomalies: Astrophysical and Cosmological Foregrounds and the Curse of Masking | 2014 | 1 |
| 11 | 2014 | 4 | |
| 12 | 2014 | 44 | |
| 13 | 2013 | 35 | |
| 14 | 2013 | 9 | |
| 15 | 2012 | 2 | |
| 16 | 2010 | 48 | |
| 17 | 2008 | 194 | |
| 18 | Impact of reconstruction with improved system modeling on high spatial resolution parametric PET Imaging of the brain | 2006 | 1 |
| 19 | 2006 | 74 | |
| 20 | 2006 | 11 |
About F. Sureau
F. Sureau is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Astronomy and Astrophysics, having authored 35 papers that have together received 662 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (13 papers), Advanced X-ray and CT Imaging (7 papers), Radio Astronomy Observations and Technology (6 papers), Cosmology and Gravitation Theories (5 papers), Advanced Vision and Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (432 citations), Radiation (137 citations) and Astronomy and Astrophysics (90 citations). F. Sureau has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Claude Comtat, R. Trébossen, Irène Buvat, Andrew J. Reader, Jean‐Luc Starck, Claire Leroy, Maria-João Ribeiro, J. Bobin, Julian C. Matthews and A. Rassat. Their work appears in journals such as Astronomy and Astrophysics, Physics in Medicine and Biology, Digital Signal Processing, Astronomy and Computing and Journal of Nuclear Medicine.
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.