Pierre Decazes
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
-
- Medical Imaging Techniques and Applications 18
- Radiomics and Machine Learning in Medical Imaging 8
- Radiopharmaceutical Chemistry and Applications 5
-
- Lymphoma Diagnosis and Treatment 16
- Co-authors
- Pierre Véra (38 shared papers)Su Ruan (18 shared papers)Isabelle Gardin (13 shared papers)Pierre Bohn (6 shared papers)S. Thureau (15 shared papers)Romain Modzelewski (15 shared papers)Ling Huang (4 shared papers)Thierry Denœux (4 shared papers)
- Journals
- Blood Advances (5 papers)EJNMMI Research (4 papers)EJNMMI Physics (3 papers)European Journal of Nuclear Medicine and Molecular Imaging (3 papers)Blood (2 papers)
- Partner nations
- FranceUnited StatesChina
In The Last Decade
Pierre Decazes
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Health Informatics 57
- Radiology, Nuclear Medicine and Imaging 431
- Pathology and Forensic Medicine 168
- Computer Vision and Pattern Recognition 215
- Radiation 54
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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 97 | |
| 2 | 2020 | 75 | |
| 3 | 2020 | 64 | |
| 4 | 2021 | 56 | |
| 5 | 2020 | 53 | |
| 6 | 2022 | 51 | |
| 7 | 2023 | 51 | |
| 8 | 2019 | 47 | |
| 9 | 2021 | 44 | |
| 10 | 2019 | 41 | |
| 11 | 2021 | 39 | |
| 12 | 2024 | 38 | |
| 13 | 2016 | 34 | |
| 14 | 2019 | 31 | |
| 15 | 2023 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2018 | 28 | |
| 18 | 2022 | 27 | |
| 19 | 2020 | 26 | |
| 20 | 2019 | 25 |
About Pierre Decazes
Pierre Decazes is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition, Radiation and Physiology, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (18 papers), Medical Image Segmentation Techniques (17 papers), Lymphoma Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Radiotherapy Techniques (7 papers), Body Composition Measurement Techniques (6 papers), Nutrition and Health in Aging (6 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). The work is most often cited by research in Health Informatics (57 citations), Radiology, Nuclear Medicine and Imaging (431 citations), Pathology and Forensic Medicine (168 citations), Computer Vision and Pattern Recognition (215 citations) and Radiation (54 citations). Pierre Decazes has collaborated with scholars based in France, United States and China. Frequent co-authors include Pierre Véra, Su Ruan, Isabelle Gardin, Pierre Bohn, S. Thureau, Romain Modzelewski, Ling Huang, Thierry Denœux, Amine Amyar and Stéphanie Becker. Their work appears in journals such as Blood Advances, EJNMMI Research, EJNMMI Physics, European Journal of Nuclear Medicine and Molecular Imaging and Blood.
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.