Maxime Guye
- Cognitive Neuroscience top 0.2%
- Functional Brain Connectivity Studies 71
- Neural dynamics and brain function 34
- EEG and Brain-Computer Interfaces 32
- Psychiatry and Mental health top 0.2%
- Epilepsy research and treatment 42
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- Advanced MRI Techniques and Applications 72
- Advanced Neuroimaging Techniques and Applications 62
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- Neuroscience and Neuropharmacology Research 19
- Neurology top 1%
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- Multiple Sclerosis Research Studies 15
- Co-authors
- Fabrice BartoloméiJean‐Philippe RanjevaPatrick ChauvelViktor JirsaFabrice WendlingGaëlle BettusPatrick J. CozzoneSylviane Confort‐Gouny
- Journals
- NeuroImage (23 papers)Magnetic Resonance in Medicine (12 papers)Magnetic Resonance Materials in Physics Biology and Medicine (10 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Maxime Guye
203 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cognitive Neuroscience 5.0k
- Psychiatry and Mental health 2.8k
- Radiology, Nuclear Medicine and Imaging 2.6k
- Cellular and Molecular Neuroscience 1.8k
- Neurology 797
Countries citing papers authored by Maxime Guye
This map shows the geographic impact of Maxime Guye'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 Guye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Guye more than expected).
Fields of papers citing papers by Maxime Guye
This network shows the impact of papers produced by Maxime Guye. 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 Guye. The network helps show where Maxime Guye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maxime Guye, 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 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 18 | |
| 12 | 2019 | 24 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 10 | |
| 17 | 2018 | 46 | |
| 18 | 2017 | 19 | |
| 19 | 2017 | 45 | |
| 20 | 2006 | 80 |
About Maxime Guye
Maxime Guye is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health, having authored 212 papers that have together received 8.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (72 papers), Functional Brain Connectivity Studies (71 papers), Advanced Neuroimaging Techniques and Applications (62 papers), Epilepsy research and treatment (42 papers), Neural dynamics and brain function (34 papers), EEG and Brain-Computer Interfaces (32 papers), Neuroscience and Neuropharmacology Research (19 papers) and Multiple Sclerosis Research Studies (15 papers). The work is most often cited by research in Cognitive Neuroscience (5.0k citations), Psychiatry and Mental health (2.8k citations) and Radiology, Nuclear Medicine and Imaging (2.6k citations). Maxime Guye has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Fabrice Bartoloméi, Jean‐Philippe Ranjeva, Patrick Chauvel, Viktor Jirsa, Fabrice Wendling, Gaëlle Bettus, Patrick J. Cozzone, Sylviane Confort‐Gouny, Jean Régis and Aileen McGonigal. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine, Magnetic Resonance Materials in Physics Biology and Medicine, Epilepsia and PLoS ONE.
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.