Sylvain Bouix
Impact in
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Computational Mathematics top 2%
Papers in
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- Tensor decomposition and applications 14
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- Advanced Neuroimaging Techniques and Applications 101
- Advanced MRI Techniques and Applications 23
- Co-authors
- Martha E. ShentonMarek KubickiKaleem SiddiqiRobert W. McCarleyOfer PasternakYogesh RathiAllen TannenbaumRon Kikinis
- Journals
- Brain Imaging and Behavior (14 papers)Schizophrenia Research (13 papers)Medical Image Analysis (9 papers)NeuroImage (7 papers)Frontiers in Neuroanatomy (5 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sylvain Bouix
150 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Radiology, Nuclear Medicine and Imaging 2.8k
- Computational Mathematics 62
- Cognitive Neuroscience 1.7k
- Neurology 1.1k
- Psychiatry and Mental health 933
Countries citing papers authored by Sylvain Bouix
This map shows the geographic impact of Sylvain Bouix'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 Sylvain Bouix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Bouix more than expected).
Fields of papers citing papers by Sylvain Bouix
This network shows the impact of papers produced by Sylvain Bouix. 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 Sylvain Bouix. The network helps show where Sylvain Bouix may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sylvain Bouix, 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 | 2023 | 7 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 26 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 13 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 94 | |
| 11 | 2015 | 20 | |
| 12 | 2014 | 22 | |
| 13 | 2013 | 29 | |
| 14 | 2013 | 5 | |
| 15 | 2012 | 6 | |
| 16 | 2009 | 54 | |
| 17 | 2009 | 56 | |
| 18 | 2009 | 30 | |
| 19 | 2009 | 37 | |
| 20 | 2007 | 4 |
About Sylvain Bouix
Sylvain Bouix is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Geometry and Topology, having authored 155 papers that have together received 5.5k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (101 papers), Functional Brain Connectivity Studies (54 papers), Medical Image Segmentation Techniques (27 papers), Advanced MRI Techniques and Applications (23 papers), Fetal and Pediatric Neurological Disorders (21 papers), Traumatic Brain Injury Research (19 papers), Tensor decomposition and applications (14 papers) and Schizophrenia research and treatment (12 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.8k citations), Computational Mathematics (62 citations), Cognitive Neuroscience (1.7k citations), Neurology (1.1k citations) and Psychiatry and Mental health (933 citations). Sylvain Bouix has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Martha E. Shenton, Marek Kubicki, Kaleem Siddiqi, Robert W. McCarley, Ofer Pasternak, Yogesh Rathi, Allen Tannenbaum, Ron Kikinis, Inga K. Koerte and Carl‐Fredrik Westin. Their work appears in journals such as Brain Imaging and Behavior, Schizophrenia Research, Medical Image Analysis, NeuroImage and Frontiers in Neuroanatomy.
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.