What is she best known for?
The fields of study she is best known for:
- Neuroscience
- Artificial intelligence
- Internal medicine
Her primary areas of study are Neuroscience, Brain mapping, Human brain, Cytoarchitecture and Cerebral cortex.
Her Cognitive science research extends to the thematically linked field of Neuroscience.
Her Brain mapping research includes themes of Cartography, Parietal lobe, Brodmann area and Anatomy.
Her work carried out in the field of Cytoarchitecture brings together such families of science as Intraparietal sulcus, Brain region and Cognition, Broca's region.
Her work deals with themes such as Receptor and Brain size, which intersect with Cerebral cortex.
Her Functional imaging research is multidisciplinary, incorporating perspectives in Probabilistic logic, Voxel, Artificial intelligence, Neuroimaging and Pattern recognition.
Her most cited work include:
- A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data (3306 citations)
- A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM) (1742 citations)
- Broca's region revisited: cytoarchitecture and intersubject variability. (1135 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Neuroscience, Human brain, Artificial intelligence, Brain mapping and Cytoarchitecture.
Her study in Cerebral cortex, Cortex, Cognition, Functional imaging and Visual cortex is done as part of Neuroscience.
In most of her Cognition studies, her work intersects topics such as Cognitive psychology.
Her Cognitive psychology study integrates concerns from other disciplines, such as Functional magnetic resonance imaging and Broca's region.
The concepts of her Artificial intelligence study are interwoven with issues in Natural language processing, Computer vision and Pattern recognition.
The various areas that Katrin Amunts examines in her Brain mapping study include Neuroimaging and Anatomy.
She most often published in these fields:
- Neuroscience (55.06%)
- Human brain (23.10%)
- Artificial intelligence (20.57%)
What were the highlights of her more recent work (between 2019-2021)?
- Neuroscience (55.06%)
- Human brain (23.10%)
- Neuroimaging (14.72%)
In recent papers she was focusing on the following fields of study:
Katrin Amunts mainly investigates Neuroscience, Human brain, Neuroimaging, Cognition and Cytoarchitecture.
Her Neuroscience research incorporates elements of Receptor and GABAA receptor.
Her biological study spans a wide range of topics, including Topology, Artificial intelligence and Pattern recognition.
Her research integrates issues of Range, Probabilistic logic, Cortex and Auditory cortex in her study of Pattern recognition.
Her studies in Neuroimaging integrate themes in fields like Developmental disorder and Brain development.
Her research in Cytoarchitecture intersects with topics in Cartography, Semantic memory, Brain mapping and Orbital Sulcus.
Between 2019 and 2021, her most popular works were:
- Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture (44 citations)
- Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture (44 citations)
- BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices. (39 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Internal medicine
Her main research concerns Neuroscience, Cerebral cortex, Sensory system, Human brain and Cytoarchitecture.
In her research on the topic of Neuroscience, Laminar organization is strongly related with Receptor.
The Cerebral cortex study combines topics in areas such as Forebrain, Neuronal circuitry, Motor area, Polarized light imaging and Cortex.
Her Sensory system research incorporates themes from Connectome, Functional networks, Effects of sleep deprivation on cognitive performance and Fiber architecture.
Her Human brain study combines topics in areas such as Evolutionary biology, Cerebral hemisphere, Central nervous system and Anatomy.
Her Cytoarchitecture research integrates issues from Cartography, Insular cortex, Superior temporal gyrus, Auditory cortex and Neuroimaging.
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