Gabriel Girard
- Computational Mathematics top 5%
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- Advanced Neuroimaging Techniques and Applications 35
- Advanced MRI Techniques and Applications 27
- MRI in cancer diagnosis 6
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 17
- Neural dynamics and brain function 2
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- Fetal and Pediatric Neurological Disorders 7
- Psychiatry and Mental health top 10%
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- Cardiovascular Disease and Adiposity 2
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- Distributed systems and fault tolerance 2
- Co-authors
- Maxime DescoteauxJean‐Christophe HoudeKevin WhittingstallRachid DericheJimmy GhaziriOlivier BoucherAlan TucholkaDang Khoa Nguyen
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (2 papers)NeuroImage (7 papers)
- Partner nations
- CanadaSwitzerlandItaly
In The Last Decade
Gabriel Girard
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Computational Mathematics 29
- Radiology, Nuclear Medicine and Imaging 924
- Cognitive Neuroscience 702
- Pediatrics, Perinatology and Child Health 231
- Psychiatry and Mental health 152
Countries citing papers authored by Gabriel Girard
This map shows the geographic impact of Gabriel Girard'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 Gabriel Girard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Girard more than expected).
Fields of papers citing papers by Gabriel Girard
This network shows the impact of papers produced by Gabriel Girard. 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 Gabriel Girard. The network helps show where Gabriel Girard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriel Girard, 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 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 46 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 48 | |
| 15 | 2018 | 132 | |
| 16 | 2018 | 60 | |
| 17 | 2017 | 24 | |
| 18 | 2016 | 78 | |
| 19 | 2014 | 208 | |
| 20 | 2012 | 22 |
About Gabriel Girard
Gabriel Girard is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (35 papers), Advanced MRI Techniques and Applications (27 papers), Functional Brain Connectivity Studies (17 papers), Fetal and Pediatric Neurological Disorders (7 papers), MRI in cancer diagnosis (6 papers), Neural dynamics and brain function (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Computational Mathematics (29 citations), Radiology, Nuclear Medicine and Imaging (924 citations) and Cognitive Neuroscience (702 citations). Gabriel Girard has collaborated with scholars based in Canada, Switzerland and Italy. Frequent co-authors include Maxime Descoteaux, Jean‐Christophe Houde, Kevin Whittingstall, Rachid Deriche, Jimmy Ghaziri, Olivier Boucher, Alan Tucholka, Dang Khoa Nguyen, Guillaume Gilbert and Arnaud Boré. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.