Frontiers in Neuroinformatics

Papers
(The H4-Index of Frontiers in Neuroinformatics is 21. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy103
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex98
Editorial: Innovative methods for sleep staging using neuroinformatics83
The quest to share data73
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings50
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network47
Intra-V1 functional networks and classification of observed stimuli46
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction42
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database39
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment38
A computational model of Alzheimer's disease at the nano, micro, and macroscales37
Editorial: Neuroinformatics of large-scale brain modelling34
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques32
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data30
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles28
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor28
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps27
Unsupervised method for representation transfer from one brain to another26
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies26
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi24
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons23
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression21
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks21
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study21
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