François Rheault

4.5k total citations
73 papers, 1.2k citations indexed

About

François Rheault is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, François Rheault has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Cognitive Neuroscience and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in François Rheault's work include Advanced Neuroimaging Techniques and Applications (65 papers), Advanced MRI Techniques and Applications (43 papers) and Functional Brain Connectivity Studies (25 papers). François Rheault is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (65 papers), Advanced MRI Techniques and Applications (43 papers) and Functional Brain Connectivity Studies (25 papers). François Rheault collaborates with scholars based in Canada, United States and France. François Rheault's co-authors include Maxime Descoteaux, Laurent Petit, Bennett A. Landman, Kurt G. Schilling, Jasmeen Sidhu, Guillaume Theaud, Adam W. Anderson, Etienne St‐Onge, David Fortin and Jean‐Christophe Houde and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

François Rheault

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
François Rheault Canada 19 946 450 286 130 96 73 1.2k
Sonya Bells Canada 15 623 0.7× 522 1.2× 165 0.6× 59 0.5× 111 1.2× 21 1.2k
Yibao Wang China 15 1.3k 1.4× 773 1.7× 268 0.9× 69 0.5× 177 1.8× 30 1.8k
Matthew M. Cheung Hong Kong 16 965 1.0× 312 0.7× 148 0.5× 44 0.3× 40 0.4× 23 1.3k
Akira Kunimatsu Japan 15 668 0.7× 321 0.7× 141 0.5× 48 0.4× 206 2.1× 27 927
Kouhei Kamiya Japan 24 1.0k 1.1× 231 0.5× 244 0.9× 82 0.6× 134 1.4× 73 1.7k
Yurui Gao United States 18 996 1.1× 641 1.4× 161 0.6× 48 0.4× 134 1.4× 48 1.3k
Sudhir Pathak United States 16 974 1.0× 830 1.8× 223 0.8× 36 0.3× 131 1.4× 35 1.6k
Fabrice Poupon France 18 620 0.7× 324 0.7× 119 0.4× 35 0.3× 87 0.9× 36 1.3k
Caroline Micallef United Kingdom 13 371 0.4× 261 0.6× 174 0.6× 74 0.6× 328 3.4× 20 948
Yasuhiro Nakata Japan 22 439 0.5× 245 0.5× 160 0.6× 171 1.3× 271 2.8× 83 1.3k

Countries citing papers authored by François Rheault

Since Specialization
Citations

This map shows the geographic impact of François Rheault'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 François Rheault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Rheault more than expected).

Fields of papers citing papers by François Rheault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François Rheault. 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 François Rheault. The network helps show where François Rheault may publish in the future.

Co-authorship network of co-authors of François Rheault

This figure shows the co-authorship network connecting the top 25 collaborators of François Rheault. A scholar is included among the top collaborators of François Rheault based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with François Rheault. François Rheault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Saunders, Adam M., et al.. (2025). Sensitivity of quantitative diffusion MRI tractography and microstructure to anisotropic spatial sampling. Magnetic Resonance Imaging. 124. 110539–110539.
2.
Rheault, François, Erica Nocerino, Francesco Corsini, et al.. (2025). Brain dissection photogrammetry: a tool for studying human white matter connections integrating ex vivo and in vivo multimodal datasets. Nature Communications. 16(1). 9801–9801.
3.
Yoon, Jai Hoon, Derek B. Archer, Kurt G. Schilling, et al.. (2025). Harmonized connectome resampling for variance in voxel sizes. Magnetic Resonance Imaging. 121. 110424–110424. 1 indexed citations
4.
Rheault, François, Paolo Avesani, Alessandro De Benedictis, et al.. (2025). Anatomical insights into the superior longitudinal system from integrative in- vivo and ex-vivo mapping. Communications Biology. 8(1). 1328–1328.
5.
6.
Rheault, François, Helen S. Mayberg, Michel Thiebaut de Schotten, Alard Roebroeck, & Stephanie J. Forkel. (2025). The scientific value of tractography: accuracy vs usefulness. Brain Structure and Function. 230(4). 59–59. 1 indexed citations
7.
Monchi, Oury, Gabriel David Pinilla-Monsalve, Hannes Almgren, et al.. (2024). White Matter Microstructural Underpinnings of Mild Behavioral Impairment in Parkinson's Disease. Movement Disorders. 39(6). 1026–1036. 6 indexed citations
8.
Qiu, Ting, François Rheault, Jon Haitz Legarreta, et al.. (2024). Structural white matter properties and cognitive resilience to tau pathology. Alzheimer s & Dementia. 20(5). 3364–3377. 12 indexed citations
9.
Schilling, Kurt G., Maxime Chamberland, Victor Nozais, et al.. (2023). White matter tract microstructure, macrostructure, and associated cortical gray matter morphology across the lifespan. Imaging Neuroscience. 1. 13 indexed citations
10.
Petit, Laurent, Kariem Mahdy Ali, François Rheault, et al.. (2022). The structural connectivity of the human angular gyrus as revealed by microdissection and diffusion tractography. Brain Structure and Function. 228(1). 103–120. 21 indexed citations
11.
Poulin, Philippe, Guillaume Theaud, François Rheault, et al.. (2022). TractoInferno - A large-scale, open-source, multi-site database for machine learning dMRI tractography. Scientific Data. 9(1). 725–725. 21 indexed citations
12.
13.
Ramadass, Karthik, François Rheault, Leon Y. Cai, et al.. (2022). Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI. PubMed. 22. 49–49. 3 indexed citations
14.
Ocampo‐Pineda, Mario, Simona Schiavi, François Rheault, et al.. (2021). Hierarchical Microstructure Informed Tractography. Brain Connectivity. 11(2). 75–88. 14 indexed citations
15.
Rheault, François, Xuan Wang, Kurt G. Schilling, et al.. (2021). TractEM: Evaluation of protocols for deterministic tractography white matter atlas. Magnetic Resonance Imaging. 85. 44–56. 3 indexed citations
16.
Theaud, Guillaume, Jasmeen Sidhu, François Rheault, et al.. (2020). The role of diffusion tractography in refining glial tumor resection. Brain Structure and Function. 225(4). 1413–1436. 26 indexed citations
17.
Valero‐Cabré, Antoni, Chloé Stengel, Anthony Boyer, et al.. (2020). Axono-cortical evoked potentials as a new method of IONM for preserving the motor control network: a first study in three cases. Acta Neurochirurgica. 163(4). 919–935. 5 indexed citations
18.
Theaud, Guillaume, Jean‐Christophe Houde, Arnaud Boré, et al.. (2020). TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity. NeuroImage. 218. 116889–116889. 99 indexed citations
19.
Mandonnet, Emmanuel, et al.. (2019). Electrically induced verbal perseveration. Neurology. 92(6). e613–e621. 18 indexed citations
20.
Garyfallidis, Eleftherios, Marc-Alexandre Côté, François Rheault, et al.. (2017). Recognition of white matter bundles using local and global streamline-based registration and clustering. NeuroImage. 170. 283–295. 180 indexed citations

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.

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