Frontiers in Neuroinformatics

Papers
(The H4-Index of Frontiers in Neuroinformatics is 22. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial: Innovative methods for sleep staging using neuroinformatics140
The quest to share data86
Intra-V1 functional networks and classification of observed stimuli78
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex66
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy58
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction48
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings45
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network39
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 standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor35
A computational model of Alzheimer's disease at the nano, micro, and macroscales32
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data32
Editorial: Neuroinformatics of large-scale brain modelling31
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles30
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database30
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach26
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques26
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study25
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi25
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps23
Unsupervised method for representation transfer from one brain to another23
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization22
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