Network Neuroscience

Papers
(The H4-Index of Network Neuroscience is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
A gradient of hemisphere-specific dorsal to ventral processing routes in parieto-premotor networks77
Brain rewiring during development: A comparative analysis of larval and adult Drosophila melanogaster connectomes63
High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle56
Spectral dynamic causal modeling: A didactic introduction and its relationship with functional connectivity48
Interdependence patterns of multifrequency oscillations predict visuomotor behavior37
Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states34
Neural network embedding of functional microconnectome32
From calcium imaging to graph topology32
Functional connectome fingerprinting across the lifespan28
Multimodal multilayer network centrality relates to executive functioning28
Female 3xTg-AD mice demonstrate hyperexcitability phenotype of Alzheimer’s disease in structure-function and function-behavior relationships27
Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model26
Segregation-to-integration transformation model of memory evolution25
Network control theory applied to the human connectome: A study on variability and discriminability of fMRI connectomic features under normal and defective sensorineural conditions25
More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism25
An information-theoretic framework for conditional causality analysis of brain networks21
Exploring memory-related network via dorsal hippocampus suppression21
The global neuronal workspace as a broadcasting network20
Circuit analysis of the Drosophila brain using connectivity-based neuronal classification reveals organization of key communication pathways20
Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data20
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