Jonathan Touboul

3.1k citations
72 papers · 1.6k indexed · h-index 22
Topics
Neural dynamics and brain function (39 papers)stochastic dynamics and bifurcation (33 papers)Nonlinear Dynamics and Pattern Formation (18 papers)

In The Last Decade

Jonathan Touboul

71 papers receiving 1.5k citations

Peers

Jonathan Touboul
Comparison fields: 5 of 128
  • Cognitive Neuroscience 852
  • Statistical and Nonlinear Physics 630
  • Cellular and Molecular Neuroscience 325
  • Computer Networks and Communications 307
  • Molecular Biology 297
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Yasser Roudi Norway
Gerold Baier Germany
Timothy J. Lewis United States
Hil G. E. Meijer Netherlands
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Bernat Corominas‐Murtra Austria
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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
#WorkIndexed citations
1 2
2 1
3 13
4 5
5 9
6
The Unpredictable Nature of Termination Notice: A Data Science Experiment
0
7 129
8 58
9 8
10 24
11 8
12 12
13 6
14 3
15 23
16 1
17 105
18
Mean-field equations for stochastic neural fields with spatio-temporal delays
3
19 26
20 3

About Jonathan Touboul

Jonathan Touboul is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (39 papers), stochastic dynamics and bifurcation (33 papers) and Nonlinear Dynamics and Pattern Formation (18 papers). The work is most often cited by research in Statistical and Nonlinear Physics (630 citations), Cognitive Neuroscience (852 citations) and Cellular and Molecular Neuroscience (325 citations). Jonathan Touboul has collaborated with scholars based in France, United States and Canada. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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