Marie Chupin
- Neurology top 0.5%
- Neurological Disease Mechanisms and Treatments 12
- Brain Tumor Detection and Classification 5
- Psychiatry and Mental health top 0.5%
- Dementia and Cognitive Impairment Research 28
- Epilepsy research and treatment 6
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 14
- Physiology top 2%
- Alzheimer's disease research and treatments 22
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- Advanced Neuroimaging Techniques and Applications 17
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- Medical Image Segmentation Techniques 10
- Co-authors
- Olivier ColliotStéphane LehéricyEmilie GérardinRémi CuingnetHabib BenaliLine GarneroBruno DuboisMarie-Odile Habert
- Journals
- PLoS ONE (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)NeuroImage (10 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Marie Chupin
81 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Neurology 1.0k
- Psychiatry and Mental health 1.6k
- Cognitive Neuroscience 1.4k
- Physiology 1.0k
- Radiology, Nuclear Medicine and Imaging 866
Countries citing papers authored by Marie Chupin
This map shows the geographic impact of Marie Chupin'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 Marie Chupin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Chupin more than expected).
Fields of papers citing papers by Marie Chupin
This network shows the impact of papers produced by Marie Chupin. 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 Marie Chupin. The network helps show where Marie Chupin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marie Chupin, 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 | 2021 | 18 | |
| 2 | 2020 | 7 | |
| 3 | 2019 | 24 | |
| 4 | 2017 | 19 | |
| 5 | 2017 | 7 | |
| 6 | 2016 | 38 | |
| 7 | 2016 | 14 | |
| 8 | 2015 | 33 | |
| 9 | 2014 | 64 | |
| 10 | 2013 | 18 | |
| 11 | 2012 | 35 | |
| 12 | 2010 | 123 | |
| 13 | Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI databasebreakdown → | 2010 | 698 |
| 14 | 2009 | 33 | |
| 15 | 2009 | 249 | |
| 16 | 2009 | 120 | |
| 17 | 2008 | 210 | |
| 18 | 2007 | 85 | |
| 19 | 1993 | 3 | |
| 20 | Fasciite à éosinophiles et maladie de Hodgkin. | 1982 | 3 |
About Marie Chupin
Marie Chupin is a scholar working on Neurology, Psychiatry and Mental health and Biological Psychiatry, having authored 83 papers that have together received 3.9k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (28 papers), Alzheimer's disease research and treatments (22 papers), Advanced Neuroimaging Techniques and Applications (17 papers), Functional Brain Connectivity Studies (14 papers), Neurological Disease Mechanisms and Treatments (12 papers), Medical Image Segmentation Techniques (10 papers), Epilepsy research and treatment (6 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Neurology (1.0k citations), Psychiatry and Mental health (1.6k citations) and Cognitive Neuroscience (1.4k citations). Marie Chupin has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Olivier Colliot, Stéphane Lehéricy, Emilie Gérardin, Rémi Cuingnet, Habib Benali, Line Garnero, Bruno Dubois, Marie-Odile Habert, Guillaume Auzias and Louis Lemieux. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.