A. Bénézit

464 citations
16 papers · 319 · h-index 7

Impact in

Papers in

A. Bénézit

14 papers receiving 312 citations

Peers

A. Bénézit
Comparison fields: 5 of 39
  • Pediatrics, Perinatology and Child Health 80
  • Genetics 47
  • Cognitive Neuroscience 109
  • Developmental Neuroscience 10
  • Anatomy 4
Replace A. Elizabeth de Guzman with:
A. Elizabeth de Guzman Italy
Ana Saitovitch France
Jennifer Boisgontier France
Hanna Küpper Germany
Eliseu Paglioli Brazil
Emanuel Wenger Austria
Nathan C. Osbun United States
Kyriakos Garganis Greece
Marie-Ange Nguyen-Morel France
Nicolas Kunz Switzerland
A. Bénézit relative to A. Elizabeth de Guzman Italy A. Elizabeth de Guzman's profile →
Citations per field
00.5×2×2.7×
A. Elizabeth de Guzman · 1×
Citations per year

Countries citing papers authored by A. Bénézit

Since Specialization
Citations

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

Fields of papers citing papers by A. Bénézit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015141
2 201447
3 201342
4 202038
5 202112
6 201610
7 202310
8 20217
9 20245
10 20243
11 20201
12 20221
13 20231
14 20241
15 20160
16 20260

About A. Bénézit

A. Bénézit is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition, Genetics and Safety Research, having authored 16 papers that have together received 319 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (4 papers), Scoliosis diagnosis and treatment (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), Muscle Physiology and Disorders (2 papers), Genomics and Rare Diseases (2 papers), Hemispheric Asymmetry in Neuroscience (1 paper), Down syndrome and intellectual disability research (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (80 citations), Genetics (47 citations), Cognitive Neuroscience (109 citations), Developmental Neuroscience (10 citations) and Anatomy (4 citations). A. Bénézit has collaborated with scholars based in France, Iran and United Kingdom. Frequent co-authors include Marie‐Laure Moutard, Christine Barnérias, Jean‐François Mangin, Robert‐Yves Carlier, Susana Quijano‐Roy, Delphine Duclap, Pamela Guevara, Jessica Dubois, Ivana Dabaj and David Germanaud. Their work appears in journals such as Neuromuscular Disorders, Ultrasound in Obstetrics and Gynecology, Journal of Neurology, Brain and Biomedicines.

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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