Pascal Benquet

2.5k total citations
64 papers, 1.7k citations indexed

About

Pascal Benquet is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Pascal Benquet has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cellular and Molecular Neuroscience, 38 papers in Cognitive Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Pascal Benquet's work include Neuroscience and Neuropharmacology Research (29 papers), Neural dynamics and brain function (26 papers) and EEG and Brain-Computer Interfaces (23 papers). Pascal Benquet is often cited by papers focused on Neuroscience and Neuropharmacology Research (29 papers), Neural dynamics and brain function (26 papers) and EEG and Brain-Computer Interfaces (23 papers). Pascal Benquet collaborates with scholars based in France, Switzerland and Lebanon. Pascal Benquet's co-authors include Urs Gerber, Fabrice Wendling, Christine E. Gee, Fabrice Bartoloméi, Arnaud Biraben, Viktor Jirsa, Mahmoud Hassan, Julien Modolo, Benoı̂t Martin and François Tiaho and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Pascal Benquet

60 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascal Benquet France 22 988 976 395 202 180 64 1.7k
Magor L. Lörincz United Kingdom 21 1.2k 1.3× 1.1k 1.1× 304 0.8× 295 1.5× 72 0.4× 33 1.9k
Brendon O. Watson United States 21 2.0k 2.0× 1.4k 1.5× 313 0.8× 128 0.6× 90 0.5× 48 2.7k
Vijayalakshmi Santhakumar United States 24 763 0.8× 1.3k 1.3× 586 1.5× 252 1.2× 446 2.5× 62 2.1k
Anita Kamondi Hungary 22 1.7k 1.8× 1.9k 2.0× 372 0.9× 360 1.8× 255 1.4× 69 2.9k
Dwayne W. Godwin United States 21 979 1.0× 1.2k 1.2× 530 1.3× 78 0.4× 78 0.4× 65 1.6k
Yitzhak Schiller Israel 22 1.8k 1.8× 2.4k 2.4× 534 1.4× 521 2.6× 230 1.3× 38 2.9k
N. A. Gorelova Canada 13 911 0.9× 1.2k 1.2× 502 1.3× 130 0.6× 102 0.6× 17 1.7k
Andreas Bruns Switzerland 18 1.1k 1.1× 533 0.5× 334 0.8× 94 0.5× 56 0.3× 26 1.8k
Thomas Seidenbecher Germany 30 2.3k 2.3× 2.2k 2.3× 645 1.6× 192 1.0× 114 0.6× 55 3.5k
Andrew J. Trevelyan United Kingdom 29 1.8k 1.9× 1.9k 2.0× 539 1.4× 543 2.7× 94 0.5× 74 2.8k

Countries citing papers authored by Pascal Benquet

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Benquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Benquet

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Benquet. A scholar is included among the top collaborators of Pascal Benquet 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 Pascal Benquet. Pascal Benquet 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.
Nica, Anca, et al.. (2025). Computational modeling of frequency-dependent neocortical response to thalamic neurostimulation in epilepsy. PLoS Computational Biology. 21(4). e1012943–e1012943. 1 indexed citations
2.
Benquet, Pascal, et al.. (2024). Expansion of epileptogenic networks via neuroplasticity in neural mass models. PLoS Computational Biology. 20(12). e1012666–e1012666. 1 indexed citations
3.
Yochum, Maxime, et al.. (2024). Transition to seizure in focal epilepsy: From SEEG phenomenology to underlying mechanisms. Epilepsia. 65(12). 3619–3630. 4 indexed citations
4.
Mălîia, Mihai Dragoş, et al.. (2024). Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model. Network Neuroscience. 9(1). 18–37.
5.
Yochum, Maxime, et al.. (2024). eCOALIA: Neocortical neural mass model for simulating electroencephalographic signals. SoftwareX. 28. 101924–101924.
6.
Yochum, Maxime, Amar Kachenoura, Anna Kamińska, et al.. (2024). Deep learning-based early detection of absence seizures in children. Biomedical Signal Processing and Control. 100. 106845–106845. 3 indexed citations
7.
Kabbara, Aya, Guillaume Robert, Mohamad Khalil, et al.. (2022). An electroencephalography connectome predictive model of major depressive disorder severity. Scientific Reports. 12(1). 6816–6816. 16 indexed citations
8.
Duprez, Joan, Mahmoud Hassan, Julien Modolo, et al.. (2022). Spatio-temporal dynamics of large-scale electrophysiological networks during cognitive action control in healthy controls and Parkinson's disease patients. NeuroImage. 258. 119331–119331. 10 indexed citations
9.
Kabbara, Aya, et al.. (2022). Assessing HD-EEG functional connectivity states using a human brain computational model. Journal of Neural Engineering. 19(5). 56032–56032. 4 indexed citations
10.
Benquet, Pascal, et al.. (2021). Long term evolution of fast ripples during epileptogenesis. Journal of Neural Engineering. 18(4). 46027–46027. 4 indexed citations
11.
Modolo, Julien, et al.. (2018). Biophysical Modeling for Brain Tissue Conductivity Estimation Using SEEG Electrodes. IEEE Transactions on Biomedical Engineering. 66(6). 1695–1704. 13 indexed citations
12.
Kuchenbuch, Mathieu, Anna Kamińska, Nicole Chémaly, et al.. (2017). Long term outcome of patients with Epilepsy with migrating focal seizure in infancy (EMFSI) due to KCNT1 mutation. European Journal of Paediatric Neurology. 21. e189–e189. 1 indexed citations
13.
Benquet, Pascal, et al.. (2016). Computational modeling of high frequency oscillations recorded with clinical intracranial macroelectrodes. PubMed. 22. 1014–1017. 1 indexed citations
14.
Wendling, Fabrice, Anna Kamińska, Renzo Guerrini, et al.. (2016). Dynamic changes of depolarizing GABA in a computational model of epileptogenic brain: Insight for Dravet syndrome. Experimental Neurology. 283(Pt A). 57–72. 26 indexed citations
15.
Saillet, Sandrine, Anton Ivanov, Pascal Benquet, et al.. (2016). A New Computational Model for Neuro-Glio-Vascular Coupling: Astrocyte Activation Can Explain Cerebral Blood Flow Nonlinear Response to Interictal Events. PLoS ONE. 11(2). e0147292–e0147292. 21 indexed citations
16.
Benquet, Pascal, et al.. (2013). Modulation of epileptic activity by deep brain stimulation: a model-based study of frequency-dependent effects. Frontiers in Computational Neuroscience. 7. 94–94. 64 indexed citations
17.
Wendling, Fabrice, et al.. (2012). Interictal spikes, fast ripples and seizures in partial epilepsies – combining multi‐level computational models with experimental data. European Journal of Neuroscience. 36(2). 2164–2177. 46 indexed citations
18.
Huneau, Clément, et al.. (2010). Time-domain features of epileptic spikes as potential bio-markers of the epileptogenesis process. PubMed. 51. 6007–6010. 4 indexed citations
19.
Benquet, Pascal, et al.. (2009). Analysis of Intracerebral EEG Recordings of Epileptic Spikes: Insights From a Neural Network Model. IEEE Transactions on Biomedical Engineering. 56(12). 2782–2795. 46 indexed citations
20.
Gee, Christine E., et al.. (2004). Differential Calcium-Dependent Modulation of NMDA Currents in CA1 and CA3 Hippocampal Pyramidal Cells. Journal of Neuroscience. 24(2). 350–355. 38 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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