Jonathan Touboul

3.1k total citations
72 papers, 1.6k citations indexed

About

Jonathan Touboul is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Jonathan Touboul has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 36 papers in Statistical and Nonlinear Physics and 21 papers in Computer Networks and Communications. Recurrent topics in Jonathan Touboul's work include Neural dynamics and brain function (39 papers), stochastic dynamics and bifurcation (33 papers) and Nonlinear Dynamics and Pattern Formation (18 papers). Jonathan Touboul is often cited by papers focused on Neural dynamics and brain function (39 papers), stochastic dynamics and bifurcation (33 papers) and Nonlinear Dynamics and Pattern Formation (18 papers). Jonathan Touboul collaborates with scholars based in France, United States and Canada. Jonathan Touboul's co-authors include Alain Destexhe, Olivier Faugeras, Romain Brette, Gilles Wainrib, Javier Baladron, Fabrice Wendling, Patrick Chauvel, A. Carla Staver, Simon A. Levin and Laurent Venance and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Jonathan Touboul

71 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Touboul France 22 852 630 325 307 297 72 1.6k
Juan G. Restrepo United States 24 519 0.6× 774 1.2× 265 0.8× 822 2.7× 531 1.8× 60 2.0k
Timothy J. Lewis United States 19 1.2k 1.4× 411 0.7× 899 2.8× 294 1.0× 429 1.4× 42 2.0k
Gerold Baier Germany 26 1.0k 1.2× 558 0.9× 342 1.1× 439 1.4× 283 1.0× 103 1.9k
Muhammet Uzuntarla Türkiye 22 967 1.1× 1.0k 1.6× 216 0.7× 583 1.9× 83 0.3× 35 1.3k
Ernest Barreto United States 21 929 1.1× 782 1.2× 509 1.6× 828 2.7× 173 0.6× 40 1.6k
Dmitry E. Postnov Russia 21 650 0.8× 1.1k 1.7× 422 1.3× 1.1k 3.6× 268 0.9× 108 2.0k
Hiroshi Kori Japan 23 607 0.7× 511 0.8× 474 1.5× 846 2.8× 731 2.5× 71 2.3k
Javier M. Buldú Spain 28 887 1.0× 1.3k 2.1× 89 0.3× 1.3k 4.3× 333 1.1× 117 2.8k
Mikhail Ivanchenko Russia 24 395 0.5× 856 1.4× 156 0.5× 583 1.9× 356 1.2× 98 1.8k
Germán Mato Argentina 17 1.5k 1.8× 945 1.5× 736 2.3× 822 2.7× 142 0.5× 47 2.0k

Countries citing papers authored by Jonathan Touboul

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Touboul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Touboul

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Touboul. A scholar is included among the top collaborators of Jonathan Touboul 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 Jonathan Touboul. Jonathan Touboul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vignoud, Gaëtan, Laurent Venance, & Jonathan Touboul. (2024). Anti-Hebbian plasticity drives sequence learning in striatum. Communications Biology. 7(1). 555–555. 2 indexed citations
2.
Staver, A. Carla, et al.. (2023). Spatial Dynamics with Heterogeneity. SIAM Journal on Applied Mathematics. 84(3). S225–S248. 1 indexed citations
3.
Cohen, Maxime C., et al.. (2023). The use of AI in legal systems: determining independent contractor vs. employee status. Artificial Intelligence and Law. 1–30. 13 indexed citations
4.
Norton, Michael M., et al.. (2022). Pattern formation in a four-ring reaction-diffusion network with heterogeneity. Physical review. E. 105(2). 5 indexed citations
5.
Romagnoni, Alberto, Matthew T. Colonnese, Jonathan Touboul, & Boris Gutkin. (2020). Progressive alignment of inhibitory and excitatory delay may drive a rapid developmental switch in cortical network dynamics. Journal of Neurophysiology. 123(5). 1583–1599. 9 indexed citations
6.
Touboul, Jonathan, et al.. (2020). The Unpredictable Nature of Termination Notice: A Data Science Experiment. SSRN Electronic Journal.
7.
Díaz-Cuadros, Margarete, Daniel E. Wagner, Christoph Budjan, et al.. (2020). In vitro characterization of the human segmentation clock. Nature. 580(7801). 113–118. 129 indexed citations
8.
Valverde, Sébastien, Marie Vandecasteele, Giuseppe Gangarossa, et al.. (2020). Deep brain stimulation-guided optogenetic rescue of parkinsonian symptoms. Nature Communications. 11(1). 2388–2388. 58 indexed citations
9.
Touboul, Jonathan, et al.. (2020). Engrams of Fast Learning. Frontiers in Cellular Neuroscience. 14. 575915–575915. 8 indexed citations
10.
Touboul, Jonathan, et al.. (2019). Symmetry breaking in the embryonic skin triggers directional and sequential plumage patterning. PLoS Biology. 17(10). e3000448–e3000448. 24 indexed citations
11.
Vignoud, Gaëtan, Laurent Venance, & Jonathan Touboul. (2018). Interplay of multiple pathways and activity-dependent rules in STDP. PLoS Computational Biology. 14(8). e1006184–e1006184. 8 indexed citations
12.
Cui, Yi, et al.. (2016). Enhanced Abventricular Proliferation Compensates Cell Death in the Embryonic Cerebral Cortex. Cerebral Cortex. 27(10). 4701–4718. 12 indexed citations
13.
Romagnoni, Alberto, Jérôme Ribot, Daniel Bennequin, & Jonathan Touboul. (2015). Parsimony, Exhaustivity and Balanced Detection in Neocortex. PLoS Computational Biology. 11(11). e1004623–e1004623. 6 indexed citations
14.
Galtier, Mathieu & Jonathan Touboul. (2013). Macroscopic Equations Governing Noisy Spiking Neuronal Populations with Linear Synapses. PLoS ONE. 8(11). e78917–e78917. 3 indexed citations
15.
Molino, Luis Carlos García del, Khashayar Pakdaman, Jonathan Touboul, & Gilles Wainrib. (2013). Synchronization in random balanced networks. Physical Review E. 88(4). 42824–42824. 23 indexed citations
16.
Galtier, Mathieu & Jonathan Touboul. (2012). On an explicit representation of the solution of linear stochastic partial differential equations with delays. Comptes Rendus Mathématique. 350(3-4). 167–172. 1 indexed citations
17.
Baladron, Javier, et al.. (2012). Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons. PubMed. 2(1). 10–10. 105 indexed citations
18.
Touboul, Jonathan. (2011). Mean-field equations for stochastic neural fields with spatio-temporal delays. arXiv (Cornell University). 3 indexed citations
19.
Touboul, Jonathan & G. Bard Ermentrout. (2011). Finite-size and correlation-induced effects in mean-field dynamics. Journal of Computational Neuroscience. 31(3). 453–484. 26 indexed citations
20.
Faugeras, Olivier, Théodore Papadopoulo, Jonathan Touboul, et al.. (2006). The Statistics Of Spikes Trains For Some Simple Types Of Neuron Models. Reproductive Medicine and Biology. 16(1). 15–27. 3 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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