Grégory Dumont

1.1k citations
18 papers · 307 · h-index 10

Impact in

Papers in

Grégory Dumont

17 papers receiving 305 citations

Peers

Grégory Dumont
Comparison fields: 5 of 55
  • Cognitive Neuroscience 259
  • Statistical and Nonlinear Physics 119
  • Computer Networks and Communications 67
  • Cellular and Molecular Neuroscience 45
  • Experimental and Cognitive Psychology 20
Replace Áine Byrne with:
Áine Byrne United Kingdom
Moritz Deger Germany
Alexander Rothkegel Germany
James J. Wright Australia
Mianxin Liu China
Nobuhiko Wagatsuma Japan
Ariel Haimovici Argentina
Justus T. C. Schwabedal Germany
Kanika Bansal United States
Eric Bridgeford United States
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Citations per field
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Citations per year

Countries citing papers authored by Grégory Dumont

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Dumont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Grégory Dumont, 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 Grégory Dumont Line = papers co-authored together Grégory Dumont links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2015110
2 201941
3 201721
4 201318
5 201218
6
The mean-field equation of a leaky integrate-and-fire neural network: measure solutions and steady states
201715
7 201715
8 201614
9 20169
10 20149
11
TEST-RETEST RELIABILITY OF TWO CLINICAL TESTS FOR THE ASSESSMENT OF HIP ABDUCTOR ENDURANCE IN HEALTHY FEMALES.
20169
12 20147
13 20156
14 20235
15 20214
16 20223
17 20143
18 20240

About Grégory Dumont

Grégory Dumont is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Cellular and Molecular Neuroscience and Molecular Biology, having authored 18 papers that have together received 307 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), stochastic dynamics and bifurcation (12 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Photoreceptor and optogenetics research (3 papers), Gene Regulatory Network Analysis (2 papers), Lower Extremity Biomechanics and Pathologies (1 paper), Corporate Finance and Governance (1 paper) and Financial Markets and Investment Strategies (1 paper). The work is most often cited by research in Cognitive Neuroscience (259 citations), Statistical and Nonlinear Physics (119 citations), Computer Networks and Communications (67 citations), Cellular and Molecular Neuroscience (45 citations) and Experimental and Cognitive Psychology (20 citations). Grégory Dumont has collaborated with scholars based in France, Canada and Romania. Frequent co-authors include Boris Gutkin, Jacques Henry, André Longtin, Georg Northoff, Jianfeng Zhang, Zirui Huang, Xuchu Weng, Francesca Ferri, Rui Dai and Niall W. Duncan. Their work appears in journals such as PLoS Computational Biology, Journal of Mathematical Biology, Biological Cybernetics, Cerebral Cortex and Journal of Nonlinear Science.

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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