What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Statistics
Neuroscience, Connectome, Artificial intelligence, Cognitive science and Brain mapping are his primary areas of study.
Cerebral cortex, Resting state fMRI, Human brain, Cortex and Functional connectivity are the subjects of his Neuroscience studies.
His studies deal with areas such as Nerve net and Functional magnetic resonance imaging, Dynamic functional connectivity as well as Connectome.
His Artificial intelligence research integrates issues from Machine learning, Centrality and Pattern recognition.
His Cognitive science study incorporates themes from Cognition, Cognitive neuroscience, Network science and Neuroimaging.
His work focuses on many connections between Brain mapping and other disciplines, such as Set, that overlap with his field of interest in Computer network, Club and Cluster analysis.
His most cited work include:
- Complex brain networks: graph theoretical analysis of structural and functional systems (7275 citations)
- Complex network measures of brain connectivity: uses and interpretations. (6357 citations)
- Mapping the Structural Core of Human Cerebral Cortex (3137 citations)
What are the main themes of his work throughout his whole career to date?
Olaf Sporns mainly focuses on Neuroscience, Connectome, Artificial intelligence, Cognition and Resting state fMRI.
His study in Cerebral cortex, Functional connectivity, Cortex, Human brain and Brain mapping is carried out as part of his studies in Neuroscience.
His Connectome research focuses on Human Connectome and Connectomics.
His study focuses on the intersection of Artificial intelligence and fields such as Neuroimaging with connections in the field of Diffusion MRI.
His research on Cognition often connects related areas such as Cognitive science.
The Resting state fMRI study combines topics in areas such as Functional magnetic resonance imaging, Default mode network and Cognitive decline.
He most often published in these fields:
- Neuroscience (43.18%)
- Connectome (23.12%)
- Artificial intelligence (21.73%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (43.18%)
- Functional connectivity (12.81%)
- Cognition (13.93%)
In recent papers he was focusing on the following fields of study:
Olaf Sporns mainly investigates Neuroscience, Functional connectivity, Cognition, Connectome and Resting state fMRI.
Olaf Sporns carries out multidisciplinary research, doing studies in Neuroscience and Network analysis.
The various areas that he examines in his Functional connectivity study include Structure, Biological system, Artificial intelligence and Pattern recognition.
His biological study spans a wide range of topics, including Cognitive science and Mode.
The concepts of his Connectome study are interwoven with issues in Function, Network topology, Generative model and Embedding.
His Resting state fMRI study combines topics in areas such as Cognitive psychology, Cognitive decline, Functional magnetic resonance imaging, Default mode network and Human Connectome Project.
Between 2018 and 2021, his most popular works were:
- Human cognition involves the dynamic integration of neural activity and neuromodulatory systems (144 citations)
- A cross-disorder connectome landscape of brain dysconnectivity (109 citations)
- A spectrum of routing strategies for brain networks. (53 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Statistics
Olaf Sporns spends much of his time researching Neuroscience, Connectome, Cognition, Resting state fMRI and Network topology.
His research in Neuroscience intersects with topics in Network architecture and Network model.
His Connectome research includes elements of Modularity, Human brain, Hippocampus, Brain mapping and Amygdala.
His work carried out in the field of Brain mapping brings together such families of science as Neurocognitive and Elementary cognitive task.
His Cognition research is multidisciplinary, incorporating perspectives in Cognitive science, State space and Architecture.
His Resting state fMRI research also works with subjects such as
- Default mode network that intertwine with fields like Precuneus, Biomarker, Cognitive decline, Dementia and Disconnection syndrome,
- Disease, which have a strong connection to Connectomics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
