What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Statistics
His scientific interests lie mostly in Neuroscience, Magnetic resonance imaging, White matter, Cerebral cortex and Human brain.
His study in Neuroscience is interdisciplinary in nature, drawing from both Anatomy, Audiology and Brain size.
His Magnetic resonance imaging research integrates issues from Neural system, Functional neuroimaging, Blood volume and Attention deficit hyperactivity disorder.
The various areas that David N. Kennedy examines in his White matter study include Caudate nucleus, Forebrain and Thalamus.
His Cerebral cortex study combines topics from a wide range of disciplines, such as Cerebrum, Corpus callosum, Autism, Developmental disorder and Cortex.
His research integrates issues of Hippocampus, Central nervous system and Brainstem in his study of Human brain.
His most cited work include:
- Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. (5558 citations)
- Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. (3546 citations)
- Automatically Parcellating the Human Cerebral Cortex (2907 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Neuroscience, Magnetic resonance imaging, Neuroimaging, Psychiatry and Developmental psychology.
His studies in Neuroscience integrate themes in fields like White matter and Brain size.
His Magnetic resonance imaging research incorporates elements of Nuclear medicine, Anatomy, Stroke, Computer vision and Artificial intelligence.
His Neuroimaging study frequently draws connections to adjacent fields such as Data science.
His work carried out in the field of Psychiatry brings together such families of science as Clinical psychology and Audiology.
His Developmental psychology research focuses on Adolescent health and how it connects with Longitudinal study, Friendship and Social determinants of health.
He most often published in these fields:
- Neuroscience (24.55%)
- Magnetic resonance imaging (19.42%)
- Neuroimaging (12.50%)
What were the highlights of his more recent work (between 2015-2021)?
- Neuroimaging (12.50%)
- Data science (8.93%)
- Artificial intelligence (9.60%)
In recent papers he was focusing on the following fields of study:
David N. Kennedy spends much of his time researching Neuroimaging, Data science, Artificial intelligence, World Wide Web and Social network.
His Neuroimaging study necessitates a more in-depth grasp of Neuroscience.
David N. Kennedy integrates several fields in his works, including Neuroscience and Open peer review.
His Data science research incorporates themes from Domain, Key, Identifiability and Identification.
His research in Artificial intelligence intersects with topics in Machine learning, Cortical surface and Pattern recognition.
His Social network research is multidisciplinary, incorporating perspectives in Intervention, Motivational interviewing, Psychological intervention and Clinical psychology.
Between 2015 and 2021, his most popular works were:
- The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository (172 citations)
- Image processing and analysis methods for the Adolescent Brain Cognitive Development Study. (121 citations)
- Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging. (47 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Neuroscience
David N. Kennedy mostly deals with Neuroimaging, Cognitive development, Neurocognitive, Data science and Identifier.
David N. Kennedy combines subjects such as Data exploration, Magnetic resonance imaging and Pediatric imaging with his study of Neuroimaging.
His Magnetic resonance imaging study combines topics in areas such as Data file and Data access.
In his research, Functional imaging and Mental health is intimately related to Brain segmentation, which falls under the overarching field of Cognitive development.
The concepts of his Neurocognitive study are interwoven with issues in Developmental psychology, Fractional anisotropy, Cohort and Genetics.
He has included themes like Neuroscience and Neuropsychology in his Fractional anisotropy study.
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