Maxime Louis
Impact in
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- Dementia and Cognitive Impairment Research
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- Brain Tumor Detection and Classification
Papers in
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- Morphological variations and asymmetry 3
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- Medical Image Segmentation Techniques 1
- Co-authors
- Stanley Durrleman (5 shared papers)Ninon Burgos (2 shared papers)Simona Bottani (2 shared papers)Igor Koval (2 shared papers)Olivier Colliot (2 shared papers)Alexandre Bône (2 shared papers)Stéphane Epelbaum (2 shared papers)Benjamin Charlier (4 shared papers)
- Journals
- Artificial Intelligence in Medicine (1 paper)SIAM Journal on Numerical Analysis (1 paper)Medical Image Analysis (1 paper)Journal of Mathematical Imaging and Vision (1 paper)Scientific Reports (1 paper)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Maxime Louis
5 papers receiving 115 citations
Peers
Comparison fields: 5 of 41
- Psychiatry and Mental health 50
- Neurology 16
- Health Informatics 2
- Cognitive Neuroscience 25
- Health Information Management 5
Countries citing papers authored by Maxime Louis
This map shows the geographic impact of Maxime Louis'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 Maxime Louis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Louis more than expected).
Fields of papers citing papers by Maxime Louis
This network shows the impact of papers produced by Maxime Louis. 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 Maxime Louis. The network helps show where Maxime Louis may publish in the future.
Co-authors
The 23 scholars most cited alongside Maxime Louis, 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 | 64 | |
| 2 | 2021 | 42 | |
| 3 | 2018 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2018 | 0 |
About Maxime Louis
Maxime Louis is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition, Psychiatry and Mental health, Surgery and Geriatrics and Gerontology, having authored 6 papers that have together received 116 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (3 papers), Dementia and Cognitive Impairment Research (2 papers), Diabetes Management and Research (1 paper), Alzheimer's disease research and treatments (1 paper), Medical Image Segmentation Techniques (1 paper), Diabetes and associated disorders (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Psychiatry and Mental health (50 citations), Neurology (16 citations), Health Informatics (2 citations), Cognitive Neuroscience (25 citations) and Health Information Management (5 citations). Maxime Louis has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Stanley Durrleman, Ninon Burgos, Simona Bottani, Igor Koval, Olivier Colliot, Alexandre Bône, Stéphane Epelbaum, Benjamin Charlier, Adam Wild and Raphaël Couronné. Their work appears in journals such as Artificial Intelligence in Medicine, SIAM Journal on Numerical Analysis, Medical Image Analysis, Journal of Mathematical Imaging and Vision and Scientific Reports.
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.