What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Artificial intelligence
His scientific interests lie mostly in Neuroscience, Resting state fMRI, Artificial intelligence, Brain mapping and Functional magnetic resonance imaging.
His works in Default mode network, Cognition, Prefrontal cortex, Working memory and Brain activity and meditation are all subjects of inquiry into Neuroscience.
His Resting state fMRI research includes themes of Nerve net, Connectome, Functional connectivity, Human Connectome Project and Cognitive science.
He interconnects Classifier and Neuroimaging in the investigation of issues within Connectome.
His Artificial intelligence research incorporates themes from Machine learning, Data mining and Pattern recognition.
His study looks at the relationship between Functional magnetic resonance imaging and fields such as Human brain, as well as how they intersect with chemical problems.
His most cited work include:
- Advances in functional and structural MR image analysis and implementation as FSL. (9202 citations)
- Correspondence of the brain's functional architecture during activation and rest. (3562 citations)
- Correspondence of the brain's functional architecture during activation and rest. (3562 citations)
What are the main themes of his work throughout his whole career to date?
Christian F. Beckmann mostly deals with Neuroscience, Resting state fMRI, Artificial intelligence, Functional magnetic resonance imaging and Neuroimaging.
His study in Default mode network, Cognition, Brain mapping, Temporal lobe and Prefrontal cortex is done as part of Neuroscience.
His research in Default mode network intersects with topics in Precuneus and Posterior cingulate.
His Resting state fMRI study combines topics in areas such as Nerve net, Connectome, Functional connectivity, Human brain and Salience.
Christian F. Beckmann combines subjects such as Machine learning and Pattern recognition with his study of Artificial intelligence.
In his study, Somatosensory system is strongly linked to Sensory system, which falls under the umbrella field of Functional magnetic resonance imaging.
He most often published in these fields:
- Neuroscience (66.04%)
- Resting state fMRI (46.84%)
- Artificial intelligence (33.02%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (66.04%)
- Neuroimaging (25.76%)
- Artificial intelligence (33.02%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Neuroscience, Neuroimaging, Artificial intelligence, Autism and Resting state fMRI.
His Neuroscience course of study focuses on Adaptation and Visual hierarchy and Visual processing.
His Neuroimaging research is multidisciplinary, incorporating elements of White matter, Computational biology, Disease and Attention deficit hyperactivity disorder.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Pattern recognition.
His study looks at the intersection of Resting state fMRI and topics like Functional connectivity with Set and Brain organization.
His research integrates issues of Functional magnetic resonance imaging and Audiology in his study of Autism spectrum disorder.
Between 2018 and 2021, his most popular works were:
- Conceptualizing mental disorders as deviations from normative functioning. (61 citations)
- Conceptualizing mental disorders as deviations from normative functioning. (61 citations)
- Patients with autism spectrum disorders display reproducible functional connectivity alterations. (45 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Neuroscience
- Artificial intelligence
Christian F. Beckmann spends much of his time researching Neuroscience, Neuroimaging, Cognition, Artificial intelligence and Machine learning.
His Neuroimaging research includes elements of Neocortex, Temporal cortex, Temporal lobe and Tractography.
His Cognition research incorporates elements of Functional connectivity, Human Connectome Project and Set.
By researching both Artificial intelligence and Network architecture, he produces research that crosses academic boundaries.
Christian F. Beckmann has researched Machine learning in several fields, including Range, Variation and Bayesian linear regression.
His work in Somatosensory system addresses subjects such as Cerebellum, which are connected to disciplines such as Autism, Autism spectrum disorder and Functional magnetic resonance imaging.
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