Grégory Dumont

1.1k total citations
18 papers, 307 citations indexed

About

Grégory Dumont is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Grégory Dumont has authored 18 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 12 papers in Statistical and Nonlinear Physics and 10 papers in Computer Networks and Communications. Recurrent topics in Grégory Dumont's work include Neural dynamics and brain function (16 papers), stochastic dynamics and bifurcation (12 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Grégory Dumont is often cited by papers focused on Neural dynamics and brain function (16 papers), stochastic dynamics and bifurcation (12 papers) and Nonlinear Dynamics and Pattern Formation (9 papers). Grégory Dumont collaborates with scholars based in France, Canada and Romania. Grégory Dumont's co-authors include Boris Gutkin, Jacques Henry, André Longtin, Georg Northoff, Zirui Huang, Rui Dai, Jianfeng Zhang, Pengmin Qin, Niall W. Duncan and Francesca Ferri and has published in prestigious journals such as Cerebral Cortex, Journal of Theoretical Biology and PLoS Computational Biology.

In The Last Decade

Grégory Dumont

17 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Grégory Dumont France 10 259 119 67 45 21 18 307
Áine Byrne United Kingdom 11 295 1.1× 102 0.9× 95 1.4× 54 1.2× 21 1.0× 15 365
Ariel Haimovici Argentina 5 315 1.2× 82 0.7× 37 0.6× 43 1.0× 17 0.8× 5 373
Justus T. C. Schwabedal Germany 11 214 0.8× 137 1.2× 134 2.0× 37 0.8× 8 0.4× 15 321
Nobuhiko Wagatsuma Japan 9 209 0.8× 76 0.6× 43 0.6× 65 1.4× 33 1.6× 44 257
Milan Majtanik Germany 7 245 0.9× 70 0.6× 77 1.1× 155 3.4× 20 1.0× 11 376
Alexander Rothkegel Germany 6 207 0.8× 107 0.9× 166 2.5× 37 0.8× 9 0.4× 6 313
Agostina Palmigiano Spain 4 223 0.9× 42 0.4× 40 0.6× 99 2.2× 19 0.9× 5 236
Mianxin Liu China 11 229 0.9× 59 0.5× 23 0.3× 37 0.8× 12 0.6× 32 346
Ramón Guevara Erra France 9 304 1.2× 39 0.3× 46 0.7× 53 1.2× 11 0.5× 14 397
Parth Chholak Spain 8 192 0.7× 70 0.6× 88 1.3× 34 0.8× 20 1.0× 17 274

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-authorship network of co-authors of Grégory Dumont

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Dumont. A scholar is included among the top collaborators of Grégory Dumont based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Grégory Dumont. Grégory Dumont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Dumont, Grégory, et al.. (2024). Pattern Formation in a Spiking Neural-Field of Renewal Neurons. SIAM Journal on Applied Dynamical Systems. 23(4). 2670–2694.
2.
Dumont, Grégory, et al.. (2023). Oscillations in a Fully Connected Network of Leaky Integrate-and-Fire Neurons with a Poisson Spiking Mechanism. Journal of Nonlinear Science. 34(1). 5 indexed citations
3.
Dumont, Grégory, et al.. (2022). A framework for macroscopic phase-resetting curves for generalised spiking neural networks. PLoS Computational Biology. 18(8). e1010363–e1010363. 3 indexed citations
4.
Dumont, Grégory, et al.. (2021). Phase response approaches to neural activity models with distributed delay. Biological Cybernetics. 116(2). 191–203. 4 indexed citations
5.
Dumont, Grégory & Boris Gutkin. (2019). Macroscopic phase resetting-curves determine oscillatory coherence and signal transfer in inter-coupled neural circuits. PLoS Computational Biology. 15(5). e1007019–e1007019. 41 indexed citations
6.
Dumont, Grégory & Pierre Gabriel. (2017). The mean-field equation of a leaky integrate-and-fire neural network: measure solutions and steady states. HAL (Le Centre pour la Communication Scientifique Directe). 15 indexed citations
7.
Dumont, Grégory, Alexandre Payeur, & André Longtin. (2017). A stochastic-field description of finite-size spiking neural networks. PLoS Computational Biology. 13(8). e1005691–e1005691. 15 indexed citations
8.
Dumont, Grégory, G. Bard Ermentrout, & Boris Gutkin. (2017). Macroscopic phase-resetting curves for spiking neural networks. Physical review. E. 96(4). 42311–42311. 21 indexed citations
9.
Dumont, Grégory, et al.. (2016). Theoretical connections between mathematical neuronal models corresponding to different expressions of noise. Journal of Theoretical Biology. 406. 31–41. 9 indexed citations
10.
Dumont, Grégory, et al.. (2016). Noisy threshold in neuronal models: connections with the noisy leaky integrate-and-fire model. Journal of Mathematical Biology. 73(6-7). 1413–1436. 14 indexed citations
11.
Dumont, Grégory, et al.. (2016). TEST-RETEST RELIABILITY OF TWO CLINICAL TESTS FOR THE ASSESSMENT OF HIP ABDUCTOR ENDURANCE IN HEALTHY FEMALES.. PubMed. 11(1). 24–33. 9 indexed citations
12.
Huang, Zirui, Jianfeng Zhang, André Longtin, et al.. (2015). Is There a Nonadditive Interaction Between Spontaneous and Evoked Activity? Phase-Dependence and Its Relation to the Temporal Structure of Scale-Free Brain Activity. Cerebral Cortex. 27(2). bhv288–bhv288. 110 indexed citations
13.
Dumont, Grégory, Georg Northoff, & André Longtin. (2015). A stochastic model of input effectiveness during irregular gamma rhythms. Journal of Computational Neuroscience. 40(1). 85–101. 6 indexed citations
14.
Dumont, Grégory, Georg Northoff, & André Longtin. (2014). Linear noise approximation for oscillations in a stochastic inhibitory network with delay. Physical Review E. 90(1). 12702–12702. 9 indexed citations
15.
Baker, William & Grégory Dumont. (2014). Equity Analyst Recommendations: A Case for Affirmative Disclosure?. Journal of Consumer Affairs. 48(1). 96–123. 7 indexed citations
16.
Dumont, Grégory, et al.. (2014). A Density Model for a Population of Theta Neurons. PubMed. 4(1). 2–2. 3 indexed citations
17.
Dumont, Grégory & Jacques Henry. (2013). Synchronization of an Excitatory Integrate-and-Fire Neural Network. Bulletin of Mathematical Biology. 75(4). 629–648. 18 indexed citations
18.
Dumont, Grégory & Jacques Henry. (2012). Population density models of integrate-and-fire neurons with jumps: well-posedness. Journal of Mathematical Biology. 67(3). 453–481. 18 indexed citations

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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2026