D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 34 Citations 5,902 73 World Ranking 4325 National Ranking 217

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Neuroscience

His primary areas of investigation include Neuroscience, Electroencephalography, Epilepsy, EEG-fMRI and Ictal. His Epileptogenic zone and Stereoelectroencephalography study, which is part of a larger body of work in Neuroscience, is frequently linked to Context, bridging the gap between disciplines. His Electroencephalography research is multidisciplinary, relying on both Artificial intelligence and Pattern recognition.

His Epilepsy research focuses on subjects like Central nervous system disease, which are linked to Functional imaging, Lesion, Audiology and Temporal lobe. His work carried out in the field of EEG-fMRI brings together such families of science as Blood-oxygen-level dependent, Functional magnetic resonance imaging and Electrophysiology. His Electrophysiology research is multidisciplinary, incorporating elements of Evoked potential, Brain activity and meditation and Event-related potential.

His most cited work include:

  • fMRI activation during spike and wave discharges in idiopathic generalized epilepsy. (330 citations)
  • High-performance transistors for bioelectronics through tuning of channel thickness (236 citations)
  • High-performance transistors for bioelectronics through tuning of channel thickness (236 citations)

What are the main themes of his work throughout his whole career to date?

Christian Bénar mainly investigates Electroencephalography, Neuroscience, Artificial intelligence, Epilepsy and Ictal. His study in Electroencephalography is interdisciplinary in nature, drawing from both Resting state fMRI, Communication and Blood-oxygen-level dependent. His study on EEG-fMRI, Temporal lobe, Electrophysiology and Brain activity and meditation is often connected to Context as part of broader study in Neuroscience.

His Artificial intelligence research includes elements of Multiple comparisons problem, Machine learning and Pattern recognition. His Epilepsy study typically links adjacent topics like Functional magnetic resonance imaging. As a part of the same scientific study, Christian Bénar usually deals with the Ictal, concentrating on Source localization and frequently concerns with High resolution eeg.

He most often published in these fields:

  • Electroencephalography (67.92%)
  • Neuroscience (65.09%)
  • Artificial intelligence (34.91%)

What were the highlights of his more recent work (between 2016-2021)?

  • Neuroscience (65.09%)
  • Electroencephalography (67.92%)
  • Ictal (33.96%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Neuroscience, Electroencephalography, Ictal, Stereoelectroencephalography and Artificial intelligence. In general Neuroscience study, his work on Temporal lobe, Epilepsy, Intracerebral EEG and Stimulation often relates to the realm of Context, thereby connecting several areas of interest. His research investigates the connection between Temporal lobe and topics such as Electrophysiology that intersect with issues in Speech recognition.

His study on Magnetoencephalography is often connected to Scaling as part of broader study in Electroencephalography. His research in Ictal tackles topics such as Functional connectivity which are related to areas like Experimental data, Data mining, Statistical inference and Functional magnetic resonance imaging. He has researched Artificial intelligence in several fields, including Parametric statistics, Verbal memory, Machine learning, Auditory area and Pattern recognition.

Between 2016 and 2021, his most popular works were:

  • Defining epileptogenic networks: Contribution of SEEG and signal analysis (154 citations)
  • The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread (144 citations)
  • Interictal stereotactic-EEG functional connectivity in refractory focal epilepsies. (52 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Neuroscience

His primary areas of investigation include Neuroscience, Stereoelectroencephalography, Epilepsy, Ictal and Electroencephalography. In his research, Brain model, Brain network and Seizure semiology is intimately related to Epileptogenic zone, which falls under the overarching field of Stereoelectroencephalography. Christian Bénar is studying Temporal lobe, which is a component of Epilepsy.

His Temporal lobe research incorporates themes from Sleep in non-human animals, Eye movement, Wakefulness and Non-rapid eye movement sleep. His Ictal research focuses on Functional connectivity and how it connects with Stereotaxic technique, International league against epilepsy, Electrophysiology and Resting state fMRI. He has included themes like Diffusion MRI, Connectome and Euclidean distance in his Electroencephalography study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

fMRI activation during spike and wave discharges in idiopathic generalized epilepsy.

Y. Aghakhani;A. P. Bagshaw;C. G. Bénar;C. Hawco.
Brain (2004)

408 Citations

High-performance transistors for bioelectronics through tuning of channel thickness

Jonathan Rivnay;Pierre Leleux;Marc Ferro;Michele Sessolo.
Science Advances (2015)

330 Citations

Quality of EEG in simultaneous EEG-fMRI for epilepsy

Christian G. Bénar;Yahya Aghakhani;Yunhua Wang;Aaron Izenberg.
Clinical Neurophysiology (2003)

280 Citations

Combining EEG and fMRI: A multimodal tool for epilepsy research

Jean Gotman;Eliane Kobayashi;Andrew P Bagshaw;Christian-G Bénar.
Journal of Magnetic Resonance Imaging (2006)

280 Citations

Pitfalls of high-pass filtering for detecting epileptic oscillations: a technical note on "false" ripples.

Christian Bénar;Laeticia Chauvière;Fabrice Bartolomei;Fabrice Wendling;Fabrice Wendling.
Clinical Neurophysiology (2010)

264 Citations

The BOLD response to interictal epileptiform discharges.

Christian G. Bénar;Donald W. Gross;Yunhua Wang;Valentina Petre.
NeuroImage (2002)

242 Citations

EEG-fMRI of focal epileptic spikes: analysis with multiple haemodynamic functions and comparison with gadolinium-enhanced MR angiograms.

Andrew P. Bagshaw;Yahya Aghakhani;Christian‐G. Bénar;Eliane Kobayashi.
Human Brain Mapping (2004)

226 Citations

fMRI activation in continuous and spike-triggered EEG-fMRI studies of epileptic spikes.

Abdulla Al-Asmi;Christian G. Bénar;Don W. Gross;Yayha Agha Khani.
Epilepsia (2003)

214 Citations

Evaluation of EEG localization methods using realistic simulations of interictal spikes.

Christophe Grova;Jean Daunizeau;Jean Daunizeau;Jean-Marc Lina;Jean-Marc Lina;Christian G. Bénar.
NeuroImage (2006)

212 Citations

Defining epileptogenic networks: Contribution of SEEG and signal analysis

Fabrice Bartolomei;Stanislas Lagarde;Fabrice Wendling;Fabrice Wendling;Aileen McGonigal.
Epilepsia (2017)

191 Citations

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