Félix Renard
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Tensor decomposition and applications 3
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- Advanced Neuroimaging Techniques and Applications 20
- Advanced MRI Techniques and Applications 4
- COVID-19 diagnosis using AI 3
- Cardiac Imaging and Diagnostics 3
- Co-authors
- Stéphane KremerNicolas VuillermeNoël De PalmaChristian HeinrichFrancis SchneiderMaleka SchenckSophie AchardPetra E. Vértes
- Journals
- Scientific Reports (3 papers)PLoS ONE (3 papers)Journal of Neuroradiology (2 papers)European Radiology (2 papers)Human Brain Mapping (2 papers)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Félix Renard
41 papers receiving 978 citations
Peers
Comparison fields: 5 of 122
- Cognitive Neuroscience 346
- Radiology, Nuclear Medicine and Imaging 330
- Neurology 152
- Neurology 77
- Health Informatics 10
Countries citing papers authored by Félix Renard
This map shows the geographic impact of Félix Renard'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 Félix Renard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Félix Renard more than expected).
Fields of papers citing papers by Félix Renard
This network shows the impact of papers produced by Félix Renard. 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 Félix Renard. The network helps show where Félix Renard may publish in the future.
Co-authors
The 25 scholars most cited alongside Félix Renard, 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 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 42 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 44 | |
| 11 | 2019 | 4 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 27 | |
| 14 | 2016 | 9 | |
| 15 | 2015 | 38 | |
| 16 | 2015 | 32 | |
| 17 | 2012 | 29 | |
| 18 | 2012 | 85 | |
| 19 | 2011 | 78 | |
| 20 | 2009 | 4 |
About Félix Renard
Félix Renard is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Health Informatics, Cognitive Neuroscience and Psychiatry and Mental health, having authored 42 papers that have together received 999 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (20 papers), Functional Brain Connectivity Studies (8 papers), Traumatic Brain Injury Research (5 papers), Advanced MRI Techniques and Applications (4 papers), Fetal and Pediatric Neurological Disorders (4 papers), COVID-19 diagnosis using AI (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Tensor decomposition and applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (346 citations), Radiology, Nuclear Medicine and Imaging (330 citations), Neurology (152 citations), Neurology (77 citations) and Health Informatics (10 citations). Félix Renard has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Stéphane Kremer, Nicolas Vuillerme, Noël De Palma, Christian Heinrich, Francis Schneider, Maleka Schenck, Sophie Achard, Petra E. Vértes, Chantal Delon‐Martin and Edward T. Bullmore. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of Neuroradiology, European Radiology and Human Brain Mapping.
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.