Nicolas Coquelet

557 citations
24 papers · 335 · h-index 10

Impact in

Papers in

Nicolas Coquelet

23 papers receiving 335 citations

Peers

Nicolas Coquelet
Comparison fields: 5 of 48
  • Cognitive Neuroscience 243
  • Radiology, Nuclear Medicine and Imaging 48
  • Cellular and Molecular Neuroscience 30
  • Computational Mathematics 1
  • Developmental and Educational Psychology 18
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Kyesam Jung Germany
Peer Herholz Canada
Marie‐Sylvie Roy Canada
Tingting Xu China
Simone Gazzellini Italy
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Binke Yuan China
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Citations per field
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Citations per year

Countries citing papers authored by Nicolas Coquelet

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Coquelet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2 201841
3 201938
4 202129
5 202029
6 201723
7 202020
8 201919
9 202114
10 202113
11 20239
12 20219
13 20226
14 20216
15 20225
16 20244
17 20224
18 20233
19 20233
20 20193

About Nicolas Coquelet

Nicolas Coquelet is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Rheumatology, having authored 24 papers that have together received 335 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (11 papers), Genetic Neurodegenerative Diseases (2 papers), Children's Physical and Motor Development (2 papers), Infant Development and Preterm Care (2 papers), Intraperitoneal and Appendiceal Malignancies (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Cognitive Neuroscience (243 citations), Radiology, Nuclear Medicine and Imaging (48 citations), Cellular and Molecular Neuroscience (30 citations), Computational Mathematics (1 citation) and Developmental and Educational Psychology (18 citations). Nicolas Coquelet has collaborated with scholars based in Belgium, France and Spain. Frequent co-authors include Xavier De Tiège, Vincent Wens, Serge Goldman, Philippe Peigneux, Mathieu Bourguignon, Alison Mary, Marc Vander Ghinst, Gilles Naeije, Antonin Rovaï and Mark W. Woolrich. Their work appears in journals such as Scientific Reports, NeuroImage, Human Brain Mapping, Frontiers in Aging Neuroscience and NeuroImage Clinical.

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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