Mathilde Ripart
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
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- Epilepsy research and treatment 9
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- Brain Tumor Detection and Classification 3
- Co-authors
- Franck Mauconduit (2 shared papers)Alexandre Vignaud (2 shared papers)Martin M. Tisdall (4 shared papers)Aurélien Massire (1 shared paper)Konrad Wagstyl (4 shared papers)Pierre Olivier Weiss (1 shared paper)Philippe Ciuciu (1 shared paper)Sophie Adler (4 shared papers)
- Journals
- Epilepsia (2 papers)NMR in Biomedicine (1 paper)Magnetic Resonance in Medicine (1 paper)Annals of Neurology (1 paper)JAMA Neurology (1 paper)
- Partner nations
- United KingdomItalyAustralia
In The Last Decade
Mathilde Ripart
11 papers receiving 257 citations
Peers
Comparison fields: 5 of 25
- Health Informatics 37
- Psychiatry and Mental health 172
- Neurology 29
- Radiology, Nuclear Medicine and Imaging 57
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Mathilde Ripart
This map shows the geographic impact of Mathilde Ripart'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 Mathilde Ripart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Ripart more than expected).
Fields of papers citing papers by Mathilde Ripart
This network shows the impact of papers produced by Mathilde Ripart. 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 Mathilde Ripart. The network helps show where Mathilde Ripart may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathilde Ripart, 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 | 2022 | 89 | |
| 2 | 2021 | 77 | |
| 3 | 2023 | 22 | |
| 4 | 2020 | 19 | |
| 5 | 2025 | 17 | |
| 6 | 2020 | 10 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 0 |
About Mathilde Ripart
Mathilde Ripart is a scholar working on Psychiatry and Mental health, Neurology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 261 indexed citations. Recurring topics across this work include Epilepsy research and treatment (9 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced MRI Techniques and Applications (3 papers), Medical Image Segmentation Techniques (3 papers), Brain Tumor Detection and Classification (3 papers), Artificial Intelligence in Healthcare and Education (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Health Informatics (37 citations), Psychiatry and Mental health (172 citations), Neurology (29 citations), Radiology, Nuclear Medicine and Imaging (57 citations) and Computer Vision and Pattern Recognition (38 citations). Mathilde Ripart has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Franck Mauconduit, Alexandre Vignaud, Martin M. Tisdall, Aurélien Massire, Konrad Wagstyl, Pierre Olivier Weiss, Philippe Ciuciu, Sophie Adler, Ajai Chari and Amy McTague. Their work appears in journals such as Epilepsia, NMR in Biomedicine, Magnetic Resonance in Medicine, Annals of Neurology and JAMA Neurology.
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.