Théo Estienne
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 6
- Medical Imaging Techniques and Applications 2
-
- Advanced X-ray and CT Imaging 3
- Medical Imaging and Analysis 2
- Co-authors
- Roger Sun (6 shared papers)Marvin Lerousseau (7 shared papers)Nikos Paragios (6 shared papers)Éric Deutsch (6 shared papers)Charlotte Robert (5 shared papers)Alexandre Carré (6 shared papers)Enzo Battistella (6 shared papers)Maria Vakalopoulou (5 shared papers)
- Journals
- Scientific Reports (2 papers)Annals of the Rheumatic Diseases (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)The Journal of Arthroplasty (1 paper)Radiotherapy and Oncology (1 paper)
- Partner nations
- France
In The Last Decade
Théo Estienne
9 papers receiving 264 citations
Peers
Comparison fields: 5 of 50
- Health Informatics 20
- Radiology, Nuclear Medicine and Imaging 205
- Genetics 40
- Neurology 23
- Radiation 24
Countries citing papers authored by Théo Estienne
This map shows the geographic impact of Théo Estienne'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 Théo Estienne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Théo Estienne more than expected).
Fields of papers citing papers by Théo Estienne
This network shows the impact of papers produced by Théo Estienne. 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 Théo Estienne. The network helps show where Théo Estienne may publish in the future.
Co-authors
The 25 scholars most cited alongside Théo Estienne, 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 | 2020 | 164 | |
| 2 | 2020 | 28 | |
| 3 | 2020 | 27 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2023 | 0 |
About Théo Estienne
Théo Estienne is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, Surgery and Molecular Biology, having authored 10 papers that have together received 269 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers), AI in cancer detection (2 papers), Medical Imaging and Analysis (2 papers), Medical Image Segmentation Techniques (1 paper), Machine Learning in Bioinformatics (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (205 citations), Genetics (40 citations), Neurology (23 citations) and Radiation (24 citations). Théo Estienne has collaborated with scholars based in France. Frequent co-authors include Roger Sun, Marvin Lerousseau, Nikos Paragios, Éric Deutsch, Charlotte Robert, Alexandre Carré, Enzo Battistella, Maria Vakalopoulou, Émilie Alvarez Andres and Stéphane Niyoteka. Their work appears in journals such as Scientific Reports, Annals of the Rheumatic Diseases, International Journal of Radiation Oncology*Biology*Physics, The Journal of Arthroplasty and Radiotherapy and Oncology.
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.