Clement Vachet

1.8k citations
44 papers · 1.3k · h-index 17

Impact in

Papers in

Clement Vachet

41 papers receiving 1.3k citations

Peers

Clement Vachet
Comparison fields: 5 of 111
  • Cognitive Neuroscience 631
  • Pediatrics, Perinatology and Child Health 310
  • Radiology, Nuclear Medicine and Imaging 349
  • Genetics 274
  • Computational Mathematics 6
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A.W. Toga United States
Kathy Wilber United States
Uicheul Yoon South Korea
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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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011351
2 2015152
3 2017105
4 201487
5 201271
6 201570
7 201454
8 201448
9 201540
10 201635
11 202131
12
Quantitative Analysis of Diffusion Properties of White Matter Fiber Tracts: A Validation Study
200528
13 201225
14 201222
15 200919
16 201919
17 201918
18 201316
19 202016
20 201913

About Clement Vachet

Clement Vachet is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Mechanical Engineering, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (12 papers), Medical Image Segmentation Techniques (9 papers), Fetal and Pediatric Neurological Disorders (7 papers), Functional Brain Connectivity Studies (5 papers), Mineral Processing and Grinding (4 papers), Autism Spectrum Disorder Research (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Cognitive Neuroscience (631 citations), Pediatrics, Perinatology and Child Health (310 citations), Radiology, Nuclear Medicine and Imaging (349 citations), Genetics (274 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, Robert T. Schultz and Annette Estes. Their work appears in journals such as NeuroImage, Microscopy and Microanalysis, Frontiers in Neuroinformatics, International Journal of COPD and Journal of Magnetic Resonance Imaging.

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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