Clement Vachet

1.8k citations
40 papers · 1.2k · h-index 17

Impact in

Papers in

Clement Vachet

37 papers receiving 1.2k citations

Peers

Clement Vachet
Comparison fields: 5 of 110
  • Cognitive Neuroscience 621
  • Pediatrics, Perinatology and Child Health 339
  • Radiology, Nuclear Medicine and Imaging 350
  • Genetics 305
  • Computational Mathematics 6
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Chris I. Zoumalan United States
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Citations per field
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Citations per year

Countries citing papers authored by Clement Vachet

Since Specialization
Citations

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

Fields of papers citing papers by Clement Vachet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Clement Vachet, 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 Clement Vachet Line = papers co-authored together Clement Vachet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011323
2 2015141
3 201782
4 201481
5 201565
6 201264
7 201452
8 201441
9 201539
10 201631
11 202128
12
Quantitative Analysis of Diffusion Properties of White Matter Fiber Tracts: A Validation Study
200527
13 201223
14 201220
15 201918
16 201918
17 201316
18 200916
19 202016
20 201311

About Clement Vachet

Clement Vachet is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Mechanical Engineering, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (17 papers), Advanced MRI Techniques and Applications (12 papers), Medical Image Segmentation Techniques (11 papers), Fetal and Pediatric Neurological Disorders (8 papers), Functional Brain Connectivity Studies (6 papers), Autism Spectrum Disorder Research (4 papers), MRI in cancer diagnosis (4 papers) and Morphological variations and asymmetry (4 papers). The work is most often cited by research in Cognitive Neuroscience (621 citations), Pediatrics, Perinatology and Child Health (339 citations), Radiology, Nuclear Medicine and Imaging (350 citations), Genetics (305 citations) and Computational Mathematics (6 citations). Clement Vachet has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Guido Gerig, Martin Styner, Joseph Piven, Heather C. Hazlett, Rachel G. Smith, Michele D. Poe, Stephen R. Dager, Kelly N. Botteron, Annette Estes and Robert T. Schultz. Their work appears in journals such as NeuroImage, Microscopy and Microanalysis, Frontiers in Neuroinformatics, Journal of Neuroscience and International Journal of Computer Assisted Radiology and Surgery.

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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