Sébastian Ströer
Impact in
-
- Brain Tumor Detection and Classification
Papers in
-
- Brain Tumor Detection and Classification 4
-
- Radiomics and Machine Learning in Medical Imaging 7
- Advanced MRI Techniques and Applications 7
- Medical Imaging Techniques and Applications 5
- Co-authors
- Didier DormontOlivier ColliotNinon BurgosSimona BottaniGuillaume BouchouxKarine MartinStéphane EpelbaumAlexandre Carpentier
In The Last Decade
Sébastian Ströer
20 papers receiving 231 citations
Peers
Comparison fields: 5 of 72
- Neurology 60
- Health Informatics 6
- Radiology, Nuclear Medicine and Imaging 83
- Neurology 26
- Biomedical Engineering 64
Countries citing papers authored by Sébastian Ströer
This map shows the geographic impact of Sébastian Ströer'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 Sébastian Ströer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastian Ströer more than expected).
Fields of papers citing papers by Sébastian Ströer
This network shows the impact of papers produced by Sébastian Ströer. 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 Sébastian Ströer. The network helps show where Sébastian Ströer may publish in the future.
Co-authors
The 25 scholars most cited alongside Sébastian Ströer, 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 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 53 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 28 | |
| 13 | 2021 | 25 | |
| 14 | 2020 | 24 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2019 | 2 |
About Sébastian Ströer
Sébastian Ströer is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Health Information Management and Psychiatry and Mental health, having authored 21 papers that have together received 233 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced MRI Techniques and Applications (7 papers), Medical Image Segmentation Techniques (6 papers), Medical Imaging Techniques and Applications (5 papers), Brain Tumor Detection and Classification (4 papers), Dementia and Cognitive Impairment Research (2 papers), Mosquito-borne diseases and control (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Neurology (60 citations), Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Neurology (26 citations) and Biomedical Engineering (64 citations). Sébastian Ströer has collaborated with scholars based in France, Spain and Australia. Frequent co-authors include Didier Dormont, Olivier Colliot, Ninon Burgos, Simona Bottani, Guillaume Bouchoux, Karine Martin, Stéphane Epelbaum, Alexandre Carpentier, Nadya Pyatigorskaya and Baptiste Couvy‐Duchesne. Their work appears in journals such as Medical Image Analysis, Emerging infectious diseases, NeuroImage Clinical, Alzheimer s & Dementia and Journal of Hypertension.
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.