Michaël Bernier

422 citations
18 papers · 643 · h-index 12

Impact in

Papers in

Michaël Bernier

18 papers receiving 634 citations

Peers

Michaël Bernier
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 214
  • Cognitive Neuroscience 162
  • Physiology 131
  • Neurology 40
  • Neurology 42
Replace Jane M. Lawrence‐Dewar with:
Jane M. Lawrence‐Dewar Canada
Rosalía Dacosta‐Aguayo Spain
Qun Xu China
Rüdiger Mielke Germany
Phoebe E. Imms United States
Г. В. Катаева Russia
Holly E. Holmes United States
Frederique M. C. Boonstra Australia
Flavius D. Raslau United States
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Citations per field
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Citations per year

Countries citing papers authored by Michaël Bernier

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Bernier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michaël Bernier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michaël Bernier Line = papers co-authored together Michaël Bernier links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2019183
2 201894
3 201358
4 201348
5 202245
6 201744
7 201532
8 201728
9 201727
10 201725
11 201423
12 201614
13 20218
14 20154
15 20244
16 20212
17 20212
18 20222

About Michaël Bernier

Michaël Bernier is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Anesthesiology and Pain Medicine and Neurology, having authored 18 papers that have together received 643 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Functional Brain Connectivity Studies (5 papers), Medical Image Segmentation Techniques (3 papers), Hemispheric Asymmetry in Neuroscience (1 paper), Memory Processes and Influences (1 paper), Acute Ischemic Stroke Management (1 paper) and Cerebrovascular and Carotid Artery Diseases (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (214 citations), Cognitive Neuroscience (162 citations), Physiology (131 citations), Neurology (40 citations) and Neurology (42 citations). Michaël Bernier has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Kevin Whittingstall, Maxime Descoteaux, Stephen C. Cunnane, Étienne Croteau, Christian‐Alexandre Castellano, David Fortin, Christian Bocti, Maxime Chamberland, Jean‐Christophe Houde and Maggie Roy. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Human Brain Mapping, Alzheimer s & Dementia, Neuroreport and Clinical Journal of Pain.

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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