Timothée Proix

1.9k total citations
23 papers, 990 citations indexed

About

Timothée Proix is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Timothée Proix has authored 23 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Timothée Proix's work include Neural dynamics and brain function (13 papers), Functional Brain Connectivity Studies (13 papers) and EEG and Brain-Computer Interfaces (8 papers). Timothée Proix is often cited by papers focused on Neural dynamics and brain function (13 papers), Functional Brain Connectivity Studies (13 papers) and EEG and Brain-Computer Interfaces (8 papers). Timothée Proix collaborates with scholars based in France, United States and Switzerland. Timothée Proix's co-authors include Viktor Jirsa, Maxime Guye, Fabrice Bartoloméi, Christophe Bernard, Patrick Chauvel, Maxime O. Baud, Vikram R. Rao, Christian Bénar, Huifang Wang and Marmaduke Woodman and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Timothée Proix

22 papers receiving 980 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothée Proix France 12 858 284 256 213 76 23 990
Nishant Sinha United States 14 675 0.8× 323 1.1× 207 0.8× 206 1.0× 72 0.9× 53 888
S.C. Ponten Netherlands 8 1.0k 1.2× 151 0.5× 218 0.9× 130 0.6× 53 0.7× 9 1.1k
Fahmida A Chowdhury United Kingdom 16 564 0.7× 422 1.5× 101 0.4× 240 1.1× 85 1.1× 44 887
Martinus Hauf Switzerland 19 626 0.7× 287 1.0× 282 1.1× 103 0.5× 120 1.6× 43 936
T. Montez Netherlands 6 1.5k 1.7× 144 0.5× 229 0.9× 150 0.7× 56 0.7× 7 1.6k
Gabriele Arnulfo Italy 17 849 1.0× 367 1.3× 132 0.5× 412 1.9× 298 3.9× 43 1.4k
Peter N. Taylor United Kingdom 24 1.3k 1.5× 520 1.8× 428 1.7× 423 2.0× 164 2.2× 86 1.7k
Marc Goodfellow United Kingdom 22 1.1k 1.3× 244 0.9× 120 0.5× 378 1.8× 72 0.9× 55 1.5k
Pauly Ossenblok Netherlands 19 982 1.1× 460 1.6× 357 1.4× 243 1.1× 57 0.8× 52 1.2k
František Váša United Kingdom 13 993 1.2× 105 0.4× 522 2.0× 103 0.5× 76 1.0× 24 1.3k

Countries citing papers authored by Timothée Proix

Since Specialization
Citations

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

Fields of papers citing papers by Timothée Proix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothée Proix

This figure shows the co-authorship network connecting the top 25 collaborators of Timothée Proix. A scholar is included among the top collaborators of Timothée Proix 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 Timothée Proix. Timothée Proix 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.
Guggisberg, Adrian G., Hartwig R. Siebner, Henrik Lundell, et al.. (2025). Emergent technologies in clinical neurophysiology to study the central nervous system: IFCN handbook chapter. Clinical Neurophysiology. 178. 2110942–2110942.
2.
Fuchs, Markus, Werner J. Z’Graggen, Claudio Pollo, et al.. (2024). The critical dynamics of hippocampal seizures. Nature Communications. 15(1). 6945–6945. 10 indexed citations
3.
Proix, Timothée, et al.. (2024). Seizure Cycles under Pharmacotherapy. Annals of Neurology. 95(4). 743–753. 9 indexed citations
4.
Baud, Maxime O., Timothée Proix, Nicholas M. Gregg, et al.. (2022). Seizure forecasting: Bifurcations in the long and winding road. Epilepsia. 64(S4). S78–S98. 29 indexed citations
5.
Leguia, Marc G., Vikram R. Rao, Thomas K. Tcheng, et al.. (2022). Learning to generalize seizure forecasts. Epilepsia. 64(S4). S99–S113. 14 indexed citations
6.
Proix, Timothée, Wilson Truccolo, Marc G. Leguia, et al.. (2020). Forecasting seizure risk in adults with focal epilepsy: a development and validation study. The Lancet Neurology. 20(2). 127–135. 122 indexed citations
7.
Baud, Maxime O., Timothée Proix, Vikram R. Rao, & Kaspar Schindler. (2020). Chance and risk in epilepsy. Current Opinion in Neurology. 33(2). 163–172. 33 indexed citations
8.
Proix, Timothée, et al.. (2020). Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes. NeuroImage. 224. 117364–117364. 16 indexed citations
9.
Proix, Timothée, Mehdi Aghagolzadeh, Joseph R. Madsen, et al.. (2019). Intracortical neural activity distal to seizure-onset-areas predicts human focal seizures. PLoS ONE. 14(7). e0211847–e0211847. 8 indexed citations
10.
Proix, Timothée, et al.. (2019). Uncovering low-dimensional structure in high-dimensional representations of long-term recordings in people with epilepsy. PubMed. 9. 2246–2251. 1 indexed citations
11.
Proix, Timothée, Fabrice Bartoloméi, Maxime Guye, & Viktor Jirsa. (2018). Individual brain structure and modelling predict seizure propagation. Revue Neurologique. 174. S177–S177. 4 indexed citations
12.
Besson, Pierre, S. Kathleen Bandt, Timothée Proix, et al.. (2017). Anatomic consistencies across epilepsies: a stereotactic-EEG informed high-resolution structural connectivity study. Brain. 140(10). 2639–2652. 59 indexed citations
13.
Proix, Timothée, Fabrice Bartoloméi, Maxime Guye, & Viktor Jirsa. (2017). Individual brain structure and modelling predict seizure propagation. Brain. 140(3). 641–654. 177 indexed citations
14.
Wirsich, Jonathan, Alistair Perry, Ben Ridley, et al.. (2016). Whole-brain analytic measures of network communication reveal increased structure-function correlation in right temporal lobe epilepsy. NeuroImage Clinical. 11. 707–718. 49 indexed citations
15.
Petkoski, Spase, et al.. (2016). Heterogeneity of time delays determines synchronization of coupled oscillators. Physical review. E. 94(1). 12209–12209. 38 indexed citations
16.
Jirsa, Viktor, Timothée Proix, Dionysios Perdikis, et al.. (2016). The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread. NeuroImage. 145(Pt B). 377–388. 258 indexed citations
17.
Proix, Timothée, et al.. (2016). How do parcellation size and short-range connectivity affect dynamics in large-scale brain network models?. NeuroImage. 142. 135–149. 59 indexed citations
19.
Bernard, Christophe, et al.. (2014). Modern Concepts of Seizure Modeling. International review of neurobiology. 114. 121–153. 10 indexed citations
20.
Proix, Timothée, Fabrice Bartoloméi, Patrick Chauvel, Christophe Bernard, & Viktor Jirsa. (2014). Permittivity Coupling across Brain Regions Determines Seizure Recruitment in Partial Epilepsy. Journal of Neuroscience. 34(45). 15009–15021. 88 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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