What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Statistics
His primary areas of study are Neuroscience, Connectome, Function, Functional connectivity and Cognition.
His work on Sensory system, Default mode network, Brain mapping and Human brain as part of his general Neuroscience study is frequently connected to Disease reservoir, thereby bridging the divide between different branches of science.
His study on Human Connectome is often connected to Structure function as part of broader study in Connectome.
The concepts of his Functional connectivity study are interwoven with issues in Functional Communication, Neuroscience research, Corpus callosum and Cognitive science.
Bratislav Misic has included themes like Field and Open science in his Cognition study.
His Network topology research incorporates elements of Brain activity and meditation, Network communication and Human–computer interaction.
His most cited work include:
- Communication dynamics in complex brain networks. (292 citations)
- Cooperative and Competitive Spreading Dynamics on the Human Connectome (201 citations)
- Neighborhood greenspace and health in a large urban center (184 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Neuroscience, Connectome, Cognition, Neuroimaging and Default mode network.
As part of his studies on Neuroscience, Bratislav Misic often connects relevant subjects like Atrophy.
Bratislav Misic studies Connectomics which is a part of Connectome.
His studies examine the connections between Cognition and genetics, as well as such issues in Human brain, with regards to Communication.
The various areas that Bratislav Misic examines in his Neuroimaging study include Machine learning, Multivariate analysis and Segmentation, Artificial intelligence.
His work carried out in the field of Default mode network brings together such families of science as Schizophrenia and Human–computer interaction.
He most often published in these fields:
- Neuroscience (50.41%)
- Connectome (34.15%)
- Cognition (24.39%)
What were the highlights of his more recent work (between 2019-2021)?
- Neuroscience (50.41%)
- Connectome (34.15%)
- Neuroimaging (13.01%)
In recent papers he was focusing on the following fields of study:
His main research concerns Neuroscience, Connectome, Neuroimaging, Cognition and Computational biology.
Bratislav Misic regularly links together related areas like Schizophrenia in his Neuroscience studies.
The subject of his Connectome research is within the realm of Functional connectivity.
His studies in Neuroimaging integrate themes in fields like Computational neuroscience, Artificial intelligence, Hippocampus and Brain size.
The study of Cognition is intertwined with the study of Human brain in a number of ways.
His work deals with themes such as Cell, Persistent homology, Disease, Parkinson's disease and Unsupervised learning, which intersect with Computational biology.
Between 2019 and 2021, his most popular works were:
- Linking Structure and Function in Macroscale Brain Networks. (92 citations)
- BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. (63 citations)
- Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy (47 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Statistics
Bratislav Misic mostly deals with Connectome, Neuroscience, Cognition, Computational biology and Cell.
His Connectome study incorporates themes from Artificial neural network, Theoretical computer science and Atrophy.
Bratislav Misic conducts interdisciplinary study in the fields of Neuroscience and Tissue volume through his research.
His Cognition research incorporates themes from Schizophrenia, Covariance and Human brain.
His Human brain research is multidisciplinary, incorporating perspectives in Neocortex, Sensory system and Autocorrelation.
His Cell research is multidisciplinary, relying on both RNA, Cancer cell, Cancer and Transcriptome.
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