William Szurhaj

2.7k total citations
53 papers, 1.2k citations indexed

About

William Szurhaj is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, William Szurhaj has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 28 papers in Psychiatry and Mental health and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in William Szurhaj's work include EEG and Brain-Computer Interfaces (28 papers), Epilepsy research and treatment (25 papers) and Neural dynamics and brain function (11 papers). William Szurhaj is often cited by papers focused on EEG and Brain-Computer Interfaces (28 papers), Epilepsy research and treatment (25 papers) and Neural dynamics and brain function (11 papers). William Szurhaj collaborates with scholars based in France, United States and Switzerland. William Szurhaj's co-authors include Philippe Derambure, F. Cassim, Jean‐Louis Bourriez, Jean‐Daniel Guieu, Luc Defebvre, Étienne Labyt, Christelle Monaca, François Mauguı̀ere, J.L. Bourriez and Renaud Lopes and has published in prestigious journals such as Neurology, Annals of Neurology and Neuropsychologia.

In The Last Decade

William Szurhaj

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Szurhaj France 18 909 392 280 214 151 53 1.2k
Jean‐Louis Bourriez France 16 739 0.8× 292 0.7× 105 0.4× 301 1.4× 192 1.3× 27 1.1k
Aljoscha Thomschewski Austria 20 638 0.7× 295 0.8× 447 1.6× 106 0.5× 66 0.4× 46 1.1k
Alon Sinai Israel 17 1.1k 1.2× 415 1.1× 159 0.6× 357 1.7× 163 1.1× 33 1.7k
Carlos Trenado Germany 15 466 0.5× 165 0.4× 120 0.4× 183 0.9× 75 0.5× 71 838
Emanuela Formaggio Italy 25 963 1.1× 247 0.6× 260 0.9× 293 1.4× 228 1.5× 89 1.6k
Stephen T. Foldes United States 16 781 0.9× 649 1.7× 88 0.3× 180 0.8× 324 2.1× 31 1.2k
Koya Yamashiro Japan 22 719 0.8× 146 0.4× 93 0.3× 115 0.5× 133 0.9× 63 1.2k
Harri Piitulainen Finland 20 784 0.9× 205 0.5× 142 0.5× 93 0.4× 637 4.2× 73 1.3k
Louise Tyvaert France 24 968 1.1× 374 1.0× 670 2.4× 281 1.3× 70 0.5× 74 1.6k
Fabio Sebastiano Italy 15 470 0.5× 139 0.4× 214 0.8× 114 0.5× 37 0.2× 24 716

Countries citing papers authored by William Szurhaj

Since Specialization
Citations

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

Fields of papers citing papers by William Szurhaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Szurhaj

This figure shows the co-authorship network connecting the top 25 collaborators of William Szurhaj. A scholar is included among the top collaborators of William Szurhaj 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 William Szurhaj. William Szurhaj 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.
Derambure, Philippe, et al.. (2025). Heart rate variability-based detection of epileptic seizures: Machine learning analysis and characterization of discriminant metrics. Clinical Neurophysiology. 177. 2110793–2110793. 1 indexed citations
2.
Catenoix, Hélène, M. Hermier, Alexandra Montavont, et al.. (2024). The role of SEEG in the presurgical decision-making process in MRI-normal mesial temporal lobe epilepsy. Revue Neurologique. 180(10). 1128–1138. 2 indexed citations
3.
Szurhaj, William, et al.. (2023). Assessment of an under-mattress sensor as a seizure detection tool in an adult epilepsy monitoring unit. Seizure. 105. 17–21. 6 indexed citations
4.
Houot, Marion, Nathalie Chastan, William Szurhaj, et al.. (2023). Early identification of seizure freedom with medical treatment in patients with mesial temporal lobe epilepsy and hippocampal sclerosis. Journal of Neurology. 270(5). 2715–2723. 6 indexed citations
5.
Szurhaj, William, Anca Nica, Philippe Derambure, et al.. (2021). Cardiac Autonomic Dysfunction and Risk of Sudden Unexpected Death in Epilepsy. Neurology. 96(21). e2619–e2626. 15 indexed citations
6.
Boudet, Samuel, Renaud Lopes, Jean‐Pierre Vignal, et al.. (2018). Confusional arousals during non-rapid eye movement sleep: evidence from intracerebral recordings. SLEEP. 41(10). 28 indexed citations
7.
Szurhaj, William & Nicolas Engrand. (2018). État de mal épileptiques : avancées récentes. La Presse Médicale. 47(3). 266–277.
8.
Reyns, Nicolas, et al.. (2018). Localization of an epileptic orgasmic feeling to the right amygdala, using intracranial electrodes. Cortex. 109. 347–351. 5 indexed citations
9.
Delbeuck, Xavier, Katja Koelkebeck, Louise Tyvaert, et al.. (2016). A functional magnetic resonance imaging investigation of theory of mind impairments in patients with temporal lobe epilepsy. Neuropsychologia. 93(Pt A). 271–279. 17 indexed citations
10.
Girot, Marie, Hervé Hubert, Florence Richard, et al.. (2015). Use of emergency departments by known epileptic patients: An underestimated problem?. Epilepsy Research. 113. 1–4. 15 indexed citations
11.
André‐Obadia, Nathalie, D. Parain, & William Szurhaj. (2015). Continuous EEG monitoring in adults in the intensive care unit (ICU). Neurophysiologie Clinique. 45(1). 39–46. 15 indexed citations
12.
Tyvaert, Louise, Marie Girot, Xavier Lenne, et al.. (2014). Usefulness Of Emergent Electro-Encephalogram In Known Epileptic Patients (P5.053). Neurology. 82(10_supplement).
13.
Peyrodie, Laurent, et al.. (2014). Evaluation of the AFOP/DAFOP Method for Automatic Filtering of EEGs of Patients With Epilepsy. Journal of Clinical Neurophysiology. 31(2). 152–161. 4 indexed citations
14.
Dupont, Sophie, et al.. (2006). Complete change of seizure and spike lateralization in temporal lobe epilepsy at two separate monitorings. Clinical Neurophysiology. 118(2). 255–261. 2 indexed citations
15.
Szurhaj, William, et al.. (2005). Ictal movement disorders and hypothalamic hamartoma. Epileptic Disorders. 7(1). 43–48. 1 indexed citations
16.
Szurhaj, William, Jean‐Louis Bourriez, Philippe Kahane, et al.. (2005). Intracerebral study of gamma rhythm reactivity in the sensorimotor cortex. European Journal of Neuroscience. 21(5). 1223–1235. 62 indexed citations
17.
Soto-Ares, G., et al.. (2004). Conduite à tenir devant une première crise convulsive. Journal of Neuroradiology. 31(4). 281–288. 3 indexed citations
18.
Szurhaj, William & Philippe Derambure. (2004). Place de l’EEG dans l’épilepsie. Revue Neurologique. 160(11). 1113–1119. 4 indexed citations
19.
Szurhaj, William, Philippe Derambure, Étienne Labyt, et al.. (2002). Basic mechanisms of central rhythms reactivity to preparation and execution of a voluntary movement: a stereoelectroencephalographic study. Clinical Neurophysiology. 114(1). 107–119. 112 indexed citations
20.
Szurhaj, William, Étienne Labyt, Jean‐Louis Bourriez, et al.. (2001). Variations de l'activité des rythmes EEG en relation à un événement. Application à la physiologie et à la pathologie du mouvement. Epileptic Disorders. 3(SP1). 1 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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