Maxime Chamberland

3.4k total citations
39 papers, 732 citations indexed

About

Maxime Chamberland is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Maxime Chamberland has authored 39 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pediatrics, Perinatology and Child Health and 8 papers in Cognitive Neuroscience. Recurrent topics in Maxime Chamberland's work include Advanced Neuroimaging Techniques and Applications (36 papers), Advanced MRI Techniques and Applications (28 papers) and Fetal and Pediatric Neurological Disorders (13 papers). Maxime Chamberland is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (36 papers), Advanced MRI Techniques and Applications (28 papers) and Fetal and Pediatric Neurological Disorders (13 papers). Maxime Chamberland collaborates with scholars based in United Kingdom, Netherlands and Canada. Maxime Chamberland's co-authors include Maxime Descoteaux, Derek K. Jones, Chantal M. W. Tax, Kevin Whittingstall, David Fortin, Greg D. Parker, Sila Genc, Erika P. Raven, Pierrick Coupé and Gabriel Girard and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Maxime Chamberland

34 papers receiving 720 citations

Peers

Maxime Chamberland
Yurui Gao United States
Klaus Hahn Germany
Andrada Ianuș United Kingdom
Zhexing Liu China
A. Pasha Hosseinbor United States
John B. Colby United States
Colin B. Hansen United States
Greg D. Parker United Kingdom
M. Perrin France
Félix C. Morency Canada
Yurui Gao United States
Maxime Chamberland
Citations per year, relative to Maxime Chamberland Maxime Chamberland (= 1×) peers Yurui Gao

Countries citing papers authored by Maxime Chamberland

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Chamberland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Chamberland

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Chamberland. A scholar is included among the top collaborators of Maxime Chamberland 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 Maxime Chamberland. Maxime Chamberland 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
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Genc, Sila, Gareth Ball, Maxime Chamberland, et al.. (2025). MRI signatures of cortical microstructure in human development align with oligodendrocyte cell-type expression. Nature Communications. 16(1). 3317–3317.
3.
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Schilling, Kurt G., Allen T. Newton, Chantal M. W. Tax, et al.. (2025). The relationship of white matter tract orientation to vascular geometry in the human brain. Scientific Reports. 15(1). 18396–18396.
5.
Chamberland, Maxime, et al.. (2024). A taxonomic guide to diffusion MRI tractography visualization tools. NMR in Biomedicine. 38(1). e5267–e5267. 1 indexed citations
6.
Genc, Sila, Simona Schiavi, Maxime Chamberland, et al.. (2024). Developmental differences in canonical cortical networks: Insights from microstructure-informed tractography. Network Neuroscience. 8(3). 946–964. 2 indexed citations
7.
Umla‐Runge, Katja, et al.. (2023). A role for the fornix in temporal sequence memory. European Journal of Neuroscience. 57(7). 1141–1160. 5 indexed citations
8.
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
9.
Chan, Kwok‐Shing, Maxime Chamberland, & José P. Marques. (2022). On the performance of multi-compartment relaxometry for myelin water imaging (MCR-MWI) – test-retest repeatability and inter-protocol reproducibility. NeuroImage. 266. 119824–119824. 2 indexed citations
10.
Tax, Chantal M. W., et al.. (2021). Measuring compartmental T2-orientational dependence in human brain white matter using a tiltable RF coil and diffusion-T2 correlation MRI. NeuroImage. 236. 117967–117967. 33 indexed citations
11.
Chamberland, Maxime, Sila Genc, Erika P. Raven, et al.. (2020). Tractometry-based anomaly detection for single-subject white matter analysis. ORCA Online Research @Cardiff.
12.
Geeraert, Bryce, Maxime Chamberland, R. Marc Lebel, & Catherine Lebel. (2020). Multimodal principal component analysis to identify major features of white matter structure and links to reading. PLoS ONE. 15(8). e0233244–e0233244. 32 indexed citations
13.
Koller, Kristin, Umesh Rudrapatna, Maxime Chamberland, et al.. (2020). MICRA: Microstructural image compilation with repeated acquisitions. NeuroImage. 225. 117406–117406. 19 indexed citations
14.
Baraković, Muhamed, Chantal M. W. Tax, Umesh Rudrapatna, et al.. (2020). Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation. NeuroImage. 227. 117617–117617. 27 indexed citations
15.
St-Jean, Samuel, Maxime Chamberland, Max A. Viergever, & Alexander Leemans. (2019). Reducing variability in along-tract analysis with diffusion profile realignment. NeuroImage. 199. 663–679. 7 indexed citations
16.
Chamberland, Maxime, Erika P. Raven, Sila Genc, et al.. (2019). Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain. NeuroImage. 200. 89–100. 65 indexed citations
17.
Chamberland, Maxime, Chantal M. W. Tax, & Derek K. Jones. (2018). Meyer's loop tractography for image-guided surgery depends on imaging protocol and hardware. NeuroImage Clinical. 20. 458–465. 26 indexed citations
18.
Chamberland, Maxime, Gabriel Girard, Pierre‐Michel Bernier, et al.. (2017). On the Origin of Individual Functional Connectivity Variability: The Role of White Matter Architecture. Brain Connectivity. 7(8). 491–503. 24 indexed citations
19.
Chamberland, Maxime, Pierre‐Michel Bernier, David Fortin, Kevin Whittingstall, & Maxime Descoteaux. (2015). 3D interactive tractography-informed resting-state fMRI connectivity. Frontiers in Neuroscience. 9. 275–275. 28 indexed citations
20.
Coupé, Pierrick, José V. Manjón, Maxime Chamberland, Maxime Descoteaux, & Bassem Hiba. (2013). Collaborative patch-based super-resolution for diffusion-weighted images. NeuroImage. 83. 245–261. 62 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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