Maxime Boucher
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
Papers in
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- Political Influence and Corporate Strategies 8
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- Nonprofit Sector and Volunteering 3
- Co-authors
- Alan C. Evans (5 shared papers)Oliver Lyttelton (3 shared papers)Steven Robbins (1 shared paper)Sue Whitesides (2 shared papers)AC Evans (1 shared paper)Félix Carbonell (1 shared paper)Boris C. Bernhardt (1 shared paper)Emma G. Duerden (1 shared paper)
In The Last Decade
Maxime Boucher
25 papers receiving 878 citations
Peers
Comparison fields: 5 of 113
- Cognitive Neuroscience 350
- Psychiatry and Mental health 156
- Radiology, Nuclear Medicine and Imaging 219
- Biological Psychiatry 19
- Public Administration 29
Countries citing papers authored by Maxime Boucher
This map shows the geographic impact of Maxime Boucher'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 Boucher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Boucher more than expected).
Fields of papers citing papers by Maxime Boucher
This network shows the impact of papers produced by Maxime Boucher. 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 Boucher. The network helps show where Maxime Boucher may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Boucher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 344 | |
| 2 | 2009 | 219 | |
| 3 | 2008 | 95 | |
| 4 | 2008 | 57 | |
| 5 | 2022 | 25 | |
| 6 | 2006 | 22 | |
| 7 | 2018 | 20 | |
| 8 | 2020 | 18 | |
| 9 | 2012 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 13 | |
| 12 | 2015 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2011 | 8 | |
| 16 | 1996 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2023 | 1 |
About Maxime Boucher
Maxime Boucher is a scholar working on Strategy and Management, Sociology and Political Science, Public Administration, Political Science and International Relations and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 897 indexed citations. Recurring topics across this work include Political Influence and Corporate Strategies (8 papers), Public Policy and Administration Research (5 papers), Electoral Systems and Political Participation (4 papers), Medical Image Segmentation Techniques (3 papers), Nonprofit Sector and Volunteering (3 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Evaluation and Performance Assessment (2 papers). The work is most often cited by research in Cognitive Neuroscience (350 citations), Psychiatry and Mental health (156 citations), Radiology, Nuclear Medicine and Imaging (219 citations), Biological Psychiatry (19 citations) and Public Administration (29 citations). Maxime Boucher has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Alan C. Evans, Oliver Lyttelton, Steven Robbins, Sue Whitesides, AC Evans, Félix Carbonell, Boris C. Bernhardt, Emma G. Duerden, Christopher A. Cooper and Roger Godbout. Their work appears in journals such as NeuroImage, Engineering Structures, JCI Insight, Medical Image Analysis and European Neuropsychopharmacology.
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.