Pierre Decazes
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 10%
Papers in
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- Medical Imaging Techniques and Applications 26
- Radiomics and Machine Learning in Medical Imaging 18
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- Lung Cancer Diagnosis and Treatment 6
- Co-authors
- Pierre Véra (33 shared papers)Su Ruan (13 shared papers)Pierre Bohn (6 shared papers)Isabelle Gardin (11 shared papers)S. Thureau (15 shared papers)Romain Modzelewski (13 shared papers)Thierry Denœux (3 shared papers)Ling Huang (3 shared papers)
- Journals
- EJNMMI Physics (3 papers)Scientific Reports (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)EJNMMI Research (2 papers)Frontiers in Medicine (2 papers)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Pierre Decazes
53 papers receiving 912 citations
Peers
Comparison fields: 5 of 90
- Radiology, Nuclear Medicine and Imaging 388
- Health Informatics 18
- Geriatrics and Gerontology 22
- Otorhinolaryngology 25
- Radiation 51
Countries citing papers authored by Pierre Decazes
This map shows the geographic impact of Pierre Decazes'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 Pierre Decazes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Decazes more than expected).
Fields of papers citing papers by Pierre Decazes
This network shows the impact of papers produced by Pierre Decazes. 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 Pierre Decazes. The network helps show where Pierre Decazes may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Decazes, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 83 | |
| 2 | 2020 | 59 | |
| 3 | 2021 | 53 | |
| 4 | 2020 | 50 | |
| 5 | 2022 | 45 | |
| 6 | 2019 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2019 | 40 | |
| 9 | 2016 | 32 | |
| 10 | 2018 | 29 | |
| 11 | 2019 | 29 | |
| 12 | 2018 | 26 | |
| 13 | 2021 | 25 | |
| 14 | 2023 | 24 | |
| 15 | 2020 | 24 | |
| 16 | 2024 | 23 | |
| 17 | 2022 | 23 | |
| 18 | 2019 | 23 | |
| 19 | 2019 | 21 | |
| 20 | 2022 | 20 |
About Pierre Decazes
Pierre Decazes is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Radiation and Physiology, having authored 57 papers that have together received 919 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (26 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Advanced Radiotherapy Techniques (8 papers), Lung Cancer Diagnosis and Treatment (6 papers), Medical Image Segmentation Techniques (5 papers), Nutrition and Health in Aging (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (388 citations), Health Informatics (18 citations), Geriatrics and Gerontology (22 citations), Otorhinolaryngology (25 citations) and Radiation (51 citations). Pierre Decazes has collaborated with scholars based in France, United States and China. Frequent co-authors include Pierre Véra, Su Ruan, Pierre Bohn, Isabelle Gardin, S. Thureau, Romain Modzelewski, Thierry Denœux, Ling Huang, Stéphanie Becker and Amine Amyar. Their work appears in journals such as EJNMMI Physics, Scientific Reports, European Journal of Nuclear Medicine and Molecular Imaging, EJNMMI Research and Frontiers in 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.