What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Cognition
- Artificial intelligence
His primary areas of study are Neuroscience, Functional magnetic resonance imaging, Cognition, Brain mapping and Cognitive psychology.
The Functional magnetic resonance imaging study combines topics in areas such as Artificial neural network, Ventral tegmental area, Prefrontal cortex, Functional imaging and Posterior parietal cortex.
The various areas that Scott A. Huettel examines in his Cognition study include Parietal lobe and Fractional anisotropy, Diffusion MRI, White matter.
His Brain mapping study incorporates themes from Social psychology, Vigilance, Psychomotor learning, Young adult and Ventromedial prefrontal cortex.
The study incorporates disciplines such as Pattern analysis, Multivariate analysis and Perception in addition to Cognitive psychology.
In his study, Developmental psychology is strongly linked to Frontal lobe, which falls under the umbrella field of Neuroimaging.
His most cited work include:
- Functional Magnetic Resonance Imaging (1217 citations)
- Neural Signatures of Economic Preferences for Risk and Ambiguity (528 citations)
- Males and females use different distal cues in a virtual environment navigation task. (426 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Functional magnetic resonance imaging, Neuroscience, Cognition, Cognitive psychology and Social psychology.
His Functional magnetic resonance imaging research includes elements of Brain mapping, Prefrontal cortex, Ventromedial prefrontal cortex, Neuroimaging and Posterior parietal cortex.
The concepts of his Brain mapping study are interwoven with issues in Young adult and Electroencephalography.
The Cognition study combines topics in areas such as Developmental psychology and Fractional anisotropy.
He interconnects Sleep deprivation, Ventral striatum and Audiology in the investigation of issues within Developmental psychology.
Scott A. Huettel combines subjects such as Anterior cingulate cortex and Perception with his study of Cognitive psychology.
He most often published in these fields:
- Functional magnetic resonance imaging (32.84%)
- Neuroscience (27.94%)
- Cognition (24.51%)
What were the highlights of his more recent work (between 2016-2021)?
- Cognitive psychology (23.53%)
- Functional magnetic resonance imaging (32.84%)
- Cognition (24.51%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cognitive psychology, Functional magnetic resonance imaging, Cognition, Social psychology and Neuroimaging.
He has included themes like Arousal and Default mode network in his Cognitive psychology study.
Default mode network is the subject of his research, which falls under Neuroscience.
His studies deal with areas such as Social actions and Action as well as Neuroscience.
The various areas that he examines in his Functional magnetic resonance imaging study include Developmental psychology, Striatum and Posterior parietal cortex.
His study in the field of Cognitive reappraisal is also linked to topics like Control.
Between 2016 and 2021, his most popular works were:
- Variability in the analysis of a single neuroimaging dataset by many teams (147 citations)
- Neuromarketing: Ethical Implications of its Use and Potential Misuse (49 citations)
- Neural mechanisms underlying subsequent memory for personal beliefs:An fMRI study. (38 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Artificial intelligence
The scientist’s investigation covers issues in Cognitive psychology, Functional magnetic resonance imaging, Neuroimaging, Flexibility and Data science.
His studies in Cognitive psychology integrate themes in fields like Arousal, Connectome, Cognition, Default mode network and Incentive.
His Cognition research is multidisciplinary, relying on both Resting state fMRI, Addiction, Moderation and Salience.
His study in Functional magnetic resonance imaging is interdisciplinary in nature, drawing from both Impulsivity, Decision theory, Framing effect, Framing and Neuroeconomics.
His work in Flexibility addresses subjects such as Statistical hypothesis testing, which are connected to disciplines such as Multidisciplinary approach and Functional neuroimaging.
His research integrates issues of Audiology, Brain mapping, Mnemonic and Amygdala in his study of Prefrontal cortex.
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