OOIR: Observatory of International Research

Papers

(The TQCC of Frontiers in Neuroinformatics is 10. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Editorial: Innovative methods for sleep staging using neuroinformatics	117
The quest to share data	114
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex	111
Intra-V1 functional networks and classification of observed stimuli	86
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy	65
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings	55
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network	51
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction	41
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database	41
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques	40
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data	37
Editorial: Neuroinformatics of large-scale brain modelling	36
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor	32
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment	32
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles	31
A computational model of Alzheimer's disease at the nano, micro, and macroscales	30
Unsupervised method for representation transfer from one brain to another	30
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies	29
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN	28
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi	27
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression	25
QuNex—An integrative platform for reproducible neuroimaging analytics	24
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression	24
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps	24
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study	23

Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks	23
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons	23
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization	22
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures	22
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study	22
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients	21
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use	20
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation	20
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub	20
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models	19
Light-weight neural network for intra-voxel structure analysis	19
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”	19
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute	18
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders	17
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation	17
A review of risk concepts and models for predicting the risk of primary stroke	17
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation	17
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks	16
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study	16
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi	16
EpiBOX: An Automated Platform for Long-Term Biosignal Collection	16
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning	16
Correction: A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease	16
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data	15
A systematic comparison of deep learning methods for EEG time series analysis	15
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder	15
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions	15
SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data	15
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation	14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma	14
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia	14
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth	14
BrainInsights: a comprehensive framework for pre-processing, analysis, and interpretation of neuroimaging data using traditional statistics and machine learning	14
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus	14
Contrastive self-supervised learning for neurodegenerative disorder classification	13
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint	13
Discovering optimal features for neuron-type identification from extracellular recordings	13
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale	13
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks	13
Editorial: Weakly supervised deep learning-based methods for brain image analysis	12
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals	12
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study	12
Power spectral analysis of voltage-gated channels in neurons	12
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS	12
Investigating cortical complexity and connectivity in rats with schizophrenia	12
Events in context—The HED framework for the study of brain, experience and behavior	12
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM	12
Brain-Computer Interface using neural network and temporal-spectral features	12
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources	11
Can micro-expressions be used as a biomarker for autism spectrum disorder?	11

Neuroimaging article reexecution and reproduction assessment system	11
Multiscale co-simulation design pattern for neuroscience applications	11
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks	11
Editorial: Reproducible analysis in neuroscience	11
Editorial: Physical neuromorphic computing and its industrial applications	10
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis	10
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space	10
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism	10
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning	10
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset	10
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis	10
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 3	10
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research	10
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series	10