What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Internal medicine
- Surgery
Emad N. Eskandar focuses on Neuroscience, Electroencephalography, Deep brain stimulation, Epilepsy and Surgery. His research in Electroencephalography intersects with topics in Temporal lobe, Premovement neuronal activity and Brain mapping. The study incorporates disciplines such as Internal capsule, Ventral striatum, Depression, Movement disorders and Tourette syndrome in addition to Deep brain stimulation.
The Epilepsy study combines topics in areas such as Hippocampus and Pathology. His Surgery research includes elements of Anesthesia, Magnetic resonance imaging and Cohort study. His Anesthesia research is multidisciplinary, relying on both Microelectrode, Randomized controlled trial, Adverse effect, Stimulation and Basal ganglia.
His most cited work include:
- Deep Brain Stimulation of the Ventral Capsule/Ventral Striatum for Treatment-Resistant Depression (672 citations)
- AAV2-GAD gene therapy for advanced Parkinson's disease: a double-blind, sham-surgery controlled, randomised trial (447 citations)
- Single-neuron dynamics in human focal epilepsy (363 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Neuroscience, Deep brain stimulation, Surgery, Epilepsy and Stimulation. Neuroscience and Subthalamic nucleus are commonly linked in his work. Emad N. Eskandar has included themes like Obsessive compulsive, Internal capsule, Ventral striatum, Movement disorders and Depression in his Deep brain stimulation study.
His Surgery study frequently draws connections to other fields, such as Anesthesia. Emad N. Eskandar studied Premovement neuronal activity and Neuron that intersect with Bursting. His Electroencephalography study integrates concerns from other disciplines, such as Electrophysiology and Brain mapping.
He most often published in these fields:
- Neuroscience (54.19%)
- Deep brain stimulation (19.76%)
- Surgery (15.27%)
What were the highlights of his more recent work (between 2019-2021)?
- Neuroscience (54.19%)
- Stimulation (13.77%)
- Human brain (5.99%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Neuroscience, Stimulation, Human brain, Incidence and Multielectrode array. Eye movement, Sleep spindle, Cortex, Hippocampal formation and Cognition are among the areas of Neuroscience where the researcher is concentrating his efforts. His Stimulation research incorporates themes from Modality, Brain activity and meditation and Elementary cognitive task.
Emad N. Eskandar combines subjects such as Transmission and Family medicine with his study of Incidence. His work deals with themes such as Feature extraction, Artificial intelligence and Cortical surface, which intersect with Multielectrode array. His Microelectrode study combines topics from a wide range of disciplines, such as Ictal, Epilepsy and Pattern recognition.
Between 2019 and 2021, his most popular works were:
- A novel severity score to predict inpatient mortality in COVID-19 patients. (16 citations)
- A novel severity score to predict inpatient mortality in COVID-19 patients. (16 citations)
- COVID-19 Infection Among Healthcare Workers: Serological Findings Supporting Routine Testing (6 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Neuroscience
- Surgery
Neuroscience, Incidence, Stimulation, Workforce and Family medicine are his primary areas of study. Many of his research projects under Neuroscience are closely connected to Spike-timing-dependent plasticity with Spike-timing-dependent plasticity, tying the diverse disciplines of science together. His Incidence study combines topics in areas such as Retrospective cohort study, Severity of illness, Blood pressure and Cohort.
Emad N. Eskandar has researched Stimulation in several fields, including Striatum, Internal capsule, Cognition, Brain implant and Addiction. His study in Workforce intersects with areas of studies such as Transmission, Personal protective equipment, Asymptomatic and Pandemic.
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.
