What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Cognition
His scientific interests lie mostly in Neuroscience, Epilepsy, Frontal lobe, Cognition and Temporal lobe.
His Epilepsy study combines topics in areas such as Magnetic resonance imaging, Central nervous system disease, Electroencephalography and Pathology.
His research integrates issues of Working memory and Set in his study of Frontal lobe.
His Cognition research includes themes of Cognitive psychology, Neglect and Neural coding.
In his study, Discrimination learning is strongly linked to Perception, which falls under the umbrella field of Cognitive psychology.
His research in Temporal lobe intersects with topics in Hippocampal formation, Lateralization of brain function, Verbal memory and Hippocampus.
His most cited work include:
- Neural Mechanisms of Selective Visual Attention (6250 citations)
- Visual search and stimulus similarity. (2969 citations)
- Common regions of the human frontal lobe recruited by diverse cognitive demands. (2031 citations)
What are the main themes of his work throughout his whole career to date?
John S. Duncan mostly deals with Epilepsy, Neuroscience, Temporal lobe, Magnetic resonance imaging and Hippocampal sclerosis.
His studies in Epilepsy integrate themes in fields like Anesthesia, Surgery and Electroencephalography.
His work is connected to Cognition, Frontal lobe, Prefrontal cortex, Brain mapping and Functional magnetic resonance imaging, as a part of Neuroscience.
His Cognition study deals with Cognitive psychology intersecting with Perception.
His Temporal lobe study combines topics from a wide range of disciplines, such as Audiology, Diffusion MRI, Nuclear medicine, Hippocampal formation and Hippocampus.
He works mostly in the field of Magnetic resonance imaging, limiting it down to concerns involving Pathology and, occasionally, White matter.
He most often published in these fields:
- Epilepsy (49.43%)
- Neuroscience (36.09%)
- Temporal lobe (25.45%)
What were the highlights of his more recent work (between 2015-2021)?
- Epilepsy (49.43%)
- Temporal lobe (25.45%)
- Neuroscience (36.09%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Epilepsy, Temporal lobe, Neuroscience, Cognition and Epilepsy surgery.
His Epilepsy study incorporates themes from Audiology, Magnetic resonance imaging, Diffusion MRI, Radiology and Neuroimaging.
His research investigates the connection with Audiology and areas like Verbal fluency test which intersect with concerns in Frontal lobe.
His work carried out in the field of Temporal lobe brings together such families of science as Hippocampal formation, Internal medicine, Atrophy and Abnormality.
His Cognition research incorporates elements of Functional imaging and Human Connectome Project.
The various areas that John S. Duncan examines in his Epilepsy surgery study include Surgery and Pediatrics.
Between 2015 and 2021, his most popular works were:
- Histopathological Findings in Brain Tissue Obtained during Epilepsy Surgery (257 citations)
- Brain imaging in the assessment for epilepsy surgery (112 citations)
- Brain imaging in the assessment for epilepsy surgery (112 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cognition
- Epilepsy
John S. Duncan focuses on Epilepsy, Neuroscience, Magnetic resonance imaging, Temporal lobe and Cognition.
His Epilepsy research incorporates themes from Functional magnetic resonance imaging, Neuroimaging and Audiology.
His biological study spans a wide range of topics, including Cognitive psychology and Human brain.
His studies deal with areas such as Cardiology, Nuclear medicine, Hippocampal formation, Internal medicine and Voxel as well as Magnetic resonance imaging.
The study incorporates disciplines such as Rehabilitation, White matter, Verbal learning, Connectome and Radiology in addition to Temporal lobe.
In his study, which falls under the umbrella issue of Cognition, Linear regression and Machine learning is strongly linked to Artificial intelligence.
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