Pierre LeVan

5.0k total citations
85 papers, 3.7k citations indexed

About

Pierre LeVan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Pierre LeVan has authored 85 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cognitive Neuroscience, 46 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Psychiatry and Mental health. Recurrent topics in Pierre LeVan's work include Functional Brain Connectivity Studies (47 papers), Advanced MRI Techniques and Applications (39 papers) and Epilepsy research and treatment (25 papers). Pierre LeVan is often cited by papers focused on Functional Brain Connectivity Studies (47 papers), Advanced MRI Techniques and Applications (39 papers) and Epilepsy research and treatment (25 papers). Pierre LeVan collaborates with scholars based in Germany, Canada and United States. Pierre LeVan's co-authors include Jean Gotman, François Dubeau, Julia Jacobs, Jürgen Hennig, Jeffery A. Hall, Louise Tyvaert, Friederike Moeller, Rahul Chander, Elena Urrestarazu and Benjamin Zahneisen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Pierre LeVan

81 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre LeVan Germany 32 2.6k 1.3k 1.3k 1.2k 353 85 3.7k
Serge Vulliémoz Switzerland 40 3.2k 1.2× 1.9k 1.4× 973 0.7× 1.3k 1.2× 553 1.6× 154 4.7k
Eliane Kobayashi Canada 42 3.0k 1.1× 2.2k 1.6× 1.1k 0.9× 1.7k 1.5× 251 0.7× 119 4.7k
John S. Ebersole United States 33 3.2k 1.2× 2.1k 1.6× 1.1k 0.9× 747 0.6× 263 0.7× 84 4.4k
David R. Fish United Kingdom 22 2.0k 0.7× 1.2k 0.9× 651 0.5× 1.1k 0.9× 189 0.5× 42 3.0k
John R. Ives United States 36 2.7k 1.0× 993 0.7× 579 0.4× 889 0.8× 244 0.7× 89 3.7k
Maeike Zijlmans Netherlands 36 3.5k 1.3× 2.7k 2.0× 1.9k 1.5× 424 0.4× 300 0.8× 90 4.5k
David W. Carmichael United Kingdom 35 2.7k 1.0× 1.1k 0.8× 534 0.4× 1.5k 1.3× 346 1.0× 103 3.5k
Rina Zelmann Canada 32 3.2k 1.2× 2.2k 1.6× 1.8k 1.4× 285 0.2× 252 0.7× 52 3.9k
William W. Sutherling United States 35 2.2k 0.8× 1.4k 1.0× 705 0.5× 831 0.7× 297 0.8× 61 3.5k
Andreas V. Alexopoulos United States 35 1.5k 0.6× 2.5k 1.9× 1.2k 1.0× 520 0.5× 507 1.4× 136 3.8k

Countries citing papers authored by Pierre LeVan

Since Specialization
Citations

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

Fields of papers citing papers by Pierre LeVan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre LeVan

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre LeVan. A scholar is included among the top collaborators of Pierre LeVan 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 Pierre LeVan. Pierre LeVan 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.
Ueno, Aito, David A. Elliott, Sanju Lama, et al.. (2025). The glymphatic system and glioblastoma. Brain.
2.
Nenert, Rodolphe, et al.. (2025). Brain physiological pulsations are linked to sleep architecture and cognitive performance in older adults. NeuroImage. 311. 121187–121187. 1 indexed citations
3.
Weiller, Cornelius, Marco Reisert, Pierre LeVan, et al.. (2025). Hubs and interaction: the brain’s meta-loop. Cerebral Cortex. 35(3). 1 indexed citations
5.
Franke, Jochen, Christian Münkel, Cordula Grüttner, et al.. (2023). In situ theranostic platform combining highly localized magnetic fluid hyperthermia, magnetic particle imaging, and thermometry in 3D. Theranostics. 14(1). 324–340. 27 indexed citations
6.
Kamberger, Robert, Jochen Leupold, Dominik von Elverfeldt, et al.. (2020). Histological Correlates of Diffusion-Weighted Magnetic Resonance Microscopy in a Mouse Model of Mesial Temporal Lobe Epilepsy. Frontiers in Neuroscience. 14. 543–543. 8 indexed citations
7.
Kwak, Jenny, et al.. (2019). Comparison of Left Atrial Measurements Using 2- and 3-Dimensional Transesophageal Echocardiography. Journal of Cardiothoracic and Vascular Anesthesia. 33(6). 1518–1526. 1 indexed citations
8.
Korhonen, Vesa, Teemu Myllylä, Xindi Wang, et al.. (2014). Synchronous Multiscale Neuroimaging Environment for Critically Sampled Physiological Analysis of Brain Function: Hepta-Scan Concept. Brain Connectivity. 4(9). 677–689. 44 indexed citations
9.
Proulx, Sébastien, et al.. (2014). Increased sensitivity of fast BOLD fMRI with a subject-specific hemodynamic response function and application to epilepsy. NeuroImage. 93. 59–73. 23 indexed citations
10.
LeVan, Pierre, et al.. (2014). Current Use of Ultrasound Transmission Gel for Transesophageal Echocardiogram Examinations: A Survey of Cardiothoracic Anesthesiology Fellowship Directors. Journal of Cardiothoracic and Vascular Anesthesia. 28(5). 1208–1210. 4 indexed citations
11.
Jacobs, Julia, Benjamin Zahneisen, Jakob Assländer, et al.. (2013). Fast fMRI provides high statistical power in the analysis of epileptic networks. NeuroImage. 88. 282–294. 39 indexed citations
12.
Assländer, Jakob, Benjamin Zahneisen, Thimo Hugger, et al.. (2013). Single shot whole brain imaging using spherical stack of spirals trajectories. NeuroImage. 73. 59–70. 86 indexed citations
13.
Rathakrishnan, Rahul, Friederike Moeller, Pierre LeVan, François Dubeau, & Jean Gotman. (2010). BOLD signal changes preceding negative responses in EEG‐fMRI in patients with focal epilepsy. Epilepsia. 51(9). 1837–1845. 48 indexed citations
14.
Moeller, Friederike, Pierre LeVan, & Jean Gotman. (2010). Independent component analysis (ICA) of generalized spike wave discharges in fMRI: Comparison with general linear model‐based EEG‐fMRI. Human Brain Mapping. 32(2). 209–217. 44 indexed citations
15.
16.
Jacobs, Julia, Pierre LeVan, Claude-Édouard Châtillon, et al.. (2009). High frequency oscillations in intracranial EEGs mark epileptogenicity rather than lesion type. Brain. 132(4). 1022–1037. 265 indexed citations
17.
Tyvaert, Louise, Pierre LeVan, François Dubeau, & Jean Gotman. (2009). Noninvasive dynamic imaging of seizures in epileptic patients. Human Brain Mapping. 30(12). 3993–4011. 66 indexed citations
18.
Jacobs, Julia, Colin Hawco, Eliane Kobayashi, et al.. (2008). Variability of the hemodynamic response as a function of age and frequency of epileptic discharge in children with epilepsy. NeuroImage. 40(2). 601–614. 63 indexed citations
19.
LeVan, Pierre, Elena Urrestarazu, & Jean Gotman. (2006). A system for automatic artifact removal in ictal scalp EEG based on independent component analysis and Bayesian classification. Clinical Neurophysiology. 117(4). 912–927. 130 indexed citations
20.
Urrestarazu, Elena, Pierre LeVan, & Jean Gotman. (2006). Independent component analysis identifies ictal bitemporal activity in intracranial recordings at the time of unilateral discharges. Clinical Neurophysiology. 117(3). 549–561. 9 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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