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Manuscript Auditing →01Impact factor
Impact factor of Frontiers in Neurology (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers Frontiers in Neurology published in the two previous years, divided by the number of those papers. That is the same formula as the Journal Impact Factor, applied to the open citation data of OpenAlex. The journal is listed in JCR 2024, so it also has an official Journal Impact Factor published by Clarivate, which can differ because it counts citations from Web of Science journals only.
Rank in its subject categories
- Q1Clinical Neurologyrank 64 of 297 journals
- Q2Neurosciencesrank 136 of 321 journals
Quartiles here rank journals of the same Web of Science category by 2-year citedness; they are not the official JCR quartiles.
Citations and papers per year
Open access (listed in DOAJ); article processing charge listed at about US$3,801.
02Indexing
Indexing of Frontiers in Neurology
- ISSN
- 1664-2295
- Publisher
- Frontiers Media SA
- Country
- Switzerland
- Language
- English
- Scopus source type
- Journal
- Web of Science categories
- Clinical Neurology, Neurosciences
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
03What it publishes
What Frontiers in Neurology publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
04Published papers
Papers published in Frontiers in Neurology
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Analysis of influencing factors for cognitive impairment in children with self-limited epilepsy with centrotemporal spikes20260 citations
- Zhihao Zhao, Yang Liu, Weiwei Jiang 2, Shuangyu Wang 3, Huijie Yu, Xin Qu 4, Shangzhi Xiong 5, Xiaoying Chen 5, Craig S. Anderson 5, Tao Liu 4, 5* and …20260 citations
- Fanfan Li, Xingjin Song, Cuicui Zhang, Chi Peng 4, Ting Hu, Xiue Wei*, Liangqun Rong* and Haiyan Liu20260 citations
- Differential motor signatures in isolated and narcolepsy-related REM sleep behaviour disorder: a preliminary study20260 citations
- Artificial intelligence in glioma research: a bibliometric analysis of global trends, hotspots, and future directions20260 citations
- External trigeminal nerve20260 citations
- Smooth pursuit and memory saccades are impaired in early-stage Parkinson's disease patients20260 citations
- Stem cell therapy for ischemic stroke: neuroimaging approaches and evidence from a systematic review20260 citations
- Saccade reaction test for the assessment of cognitive readiness20260 citations
- Preoperative prediction of p5320260 citations
- … acupoint combined with conventional Western medicine treatment on cerebral blood flow in insomnia patients: a 3D-ASL functional magnetic resonance imaging …20260 citations
- Elevated interleukin-12B is associated with increased seizure susceptibility: insights from two-sample Mendelian randomization and in vivo experiment20260 citations
- Utilizing prior-data-fitted networks and in-context learning: a transformer-based tabular foundation model for predicting symptomatic intracranial hemorrhage after …20260 citations
- Telemedicine for headache follow-up: feasibility, clinical outcomes, and patient-reported experience from a prospective study20260 citations
- Glucose dysregulation and glycemic phenotyping in chronic migraine20260 citations
- Machine learning models for20260 citations
- Disentangling sex-specific mechanisms in neuropathic and nociplastic chronic pain: a review20260 citations
- … of the C-reactive protein–albumin–lymphocyte index and the pan-immune-inflammation value in ischemic and hemorrhagic stroke: a comparative analysis of …20260 citations
- Acute dizziness in the emergency department: trends, diagnostic challenges and stroke mimics among thrombolysed patients20260 citations
- Development and validation of an interpretable machine learning model to predict malignant cerebral edema after endovascular treatment in acute anterior circulation …20260 citations
- Zongyang Li, Yudan Yao 2, Yu Qiao 2, Li Zhang 3, Bin Yu 4, Yanpeng Jiang 4 and Yuhang Zhu 520260 citations
- Recurrent migraine with visual aura as the primary phenotype of familial neuronal intranuclear inclusion disease20260 citations
- Research progress on the mechanisms of neurosyphilis' impact on cognitive function, early identification, and prevention strategies20260 citations
- Etiology and early clinical predictors of neurological outcomes in pediatric spontaneous intracranial hemorrhage: a retrospective exploratory study20260 citations
- Convolutional neural networks: applications, challenges and future prospects in brain tumor research20260 citations
- Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation20260 citations
- LAMA2 variants associated with muscular dystrophy, brain structural abnormalities, and epilepsy: a genotype-phenotype study20260 citations
- Integrating machine learning into acupuncture research: a scoping review20260 citations
- Explainable machine learning reveals multifactorial drivers of early intracranial hematoma progression in traumatic brain injury: development of a SHAP-guided SVM …20260 citations
- Correlation between atrial20260 citations
- Efficacy evaluation and clinical20260 citations
- Disrupted modular and hub topology in right temporal lobe epilepsy: a multimodal MRI network analysis20260 citations
- Meta-analysis for the associations20260 citations
- Development of an interpretable machine learning model for predicting venous thromboembolism in intensive care unit patients with intracerebral hemorrhage20260 citations
- The mediating role of coping style in the relationship between optimism and cognitive impairment in patients with stroke20260 citations
- An interdisciplinary fetal neonatal neurology collaborative promotes integrative life-course brain health20260 citations
- Motor imagery combined with brain-computer interface for stroke patients: a meta-analysis20260 citations
- Network meta-analysis of different electrical stimulation therapies for lower limb functional rehabilitation in stroke patients20260 citations
- Deep learning-based prediction20260 citations
- Effects of robotic-assisted upper extremity therapy for stroke patients in different recovery phases: a systematic review and meta-analysis20260 citations
- Risk factors of post-stroke20260 citations
- Neuropsychological and neuroimaging characteristics of patients with mild cognitive impairment and negative-amyloid deposition20260 citations
- Efficacy of dual-target iTBS on gait function and brain activation in stroke patients: a randomized, single-blinded, sham-controlled study20260 citations
- Integrating phase-rectified signal averaging with machine learning to predict stroke-associated infections: a retrospective cohort study20260 citations
- Moussa Toudou-Daouda*, Djibril Soumah, Leila Bentamra, Nana-Rahamatou Aminou-Tassiou, Mohamed Baby, Yann Lhermitte, Tony Altarcha, Manvel …20260 citations
- An interpretable machine learning model for predicting sepsis risk in ICU patients with non-traumatic subarachnoid hemorrhage: development and validation using the …20260 citations
- Autonomic dysfunction and hemodynamic management after acute spinal cord injury: blood pressure targets, perfusion strategies, and emerging therapies20260 citations
- Predicting multiple sclerosis prognosis using AI and machine learning: integrating clinical, immunological, and radiological variables20260 citations
- Cancellation of the vestibulo-ocular reflex during smooth pursuit in patients with maculopathy20260 citations
- T1-and diffusion tensor-based fractal dimension of white and grey matter in multiple sclerosis20260 citations
- Retrospective study on the association between carotid plaque stability assessed by ultrasound imaging features and stroke risk20260 citations
- Automatic and standardized reporting of perioperative MRIs in patients with central nervous system tumors20260 citations
- The construction and validation of a clinical predictive model for somatic symptom disorders in epilepsy patients20260 citations
- Epilepsy clinic analytics: leveraging EMR reporting tools to characterize center volume and complexity20260 citations
- Altered frequency architecture of spontaneous brain activity in asymptomatic carotid stenosis: a wavelet-based resting-state fMRI study20260 citations
- Epilepsy detection based on spatiotemporal feature interaction fusion of EEG signals20260 citations
- MRI-based brain stroke classification using a hybrid vision transformer–BiLSTM architecture20260 citations
- Hyperintense acute reperfusion marker (HARM) and thrombus analysis in acute ischemic stroke20260 citations
- Trends, risk profiles, and outcomes of ischemic stroke in young adults: a population-based analysis using the national inpatient sample (2010–2022)20260 citations
- Voxel-based mapping of postoperative epilepsy risk in glioma patients: supplementary motor area and limbic system correlations20260 citations
- The correlation between auditory event-related potentials characteristics and cognitive function in insular glioma patients20260 citations
- Association of hemoglobin variation and hospital mortality in patients with traumatic brain injury at high altitude20250 citations
- Protocol for assessing functional impairments in patients with unilateral and bilateral vestibulopathy: a novel approach to evaluate the impact of vestibular loss in daily …20250 citations
- Performing the HINTS-exam using a mixed-reality head-mounted display in patients with acute vestibular syndrome: a feasibility study20250 citations
- Propofol-induced frontal aEEG changes in children during deep procedural sedation20250 citations
- Tailoring robot-assisted arm training to individuals with stroke: Bridging neuroscience principles and clinical practice20250 citations
- The heterogeneous life space trajectories and predictors in stroke patients: a cohort study20250 citations
- Evolving understanding of Guillain-Barré syndrome pathophysiology and the central role of the classical complement pathway in axonal injury20250 citations
- Association of individual-based morphological brain network alterations with cognitive impairment in type 2 diabetes mellitus20250 citations
- Advances in hemiplegia rehabilitation: modern therapeutic interventions to enhance activities of daily living20250 citations
- Neuroimaging advances in neurocognitive disorders among HIV-infected individuals20250 citations
- Association of interictal epileptiform discharges and serum concentration of levetiracetam and lamotrigine20250 citations
- Harnessing artificial intelligence for brain disease: advances in diagnosis, drug discovery, and closed-loop therapeutics20250 citations
- Parkinson's disease detection using spectrogram-based multi-model feature fusion networks20250 citations
- Distinguishing stroke from transient ischemic attack using plaque characteristics and arterial transit artifacts20250 citations
- Biomarkers and therapeutic targets in early Alzheimer's disease: an Olink proteomics study20250 citations
- Thalamus and consciousness: a systematic review on thalamic nuclei associated with consciousness20250 citations
- Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management20250 citations
- Differential item functioning in the children autism rating scale first edition in children with autism spectrum disorder based on a machine learning approach20250 citations
- An integrated multifocal tDCS-EEG protocol for reducing cognitive and affective symptoms in mild cognitive impairment and early stages of dementia: A crossover …20250 citations
- Evaluating machine learning models for stroke prediction based on clinical variables20250 citations
- Automatic diagnosis of type 2 diabetes mellitus with mild cognitive impairment using artificial intelligence based on routine T1-weighted MRI20250 citations
- Clinical characteristics of20250 citations
- Perspectives on digital health and advanced treatment referral in Parkinson's care among Danish neurologists: a mixed methods study20250 citations
- Automatic differentiation of Parkinson's disease motor subtypes based on deep learning and radiomics20250 citations
- Investigating white matter alterations in Parkinson's disease using multi-shell free-water DTI and NODDI: insights into neurodegeneration and levodopa effects20250 citations
- Review study of alteration functional activities and networks in ulcerative colitis using resting-state fMRI20250 citations
- Assessment of functional decline in stroke patients using 3D deep learning and dynamic functional connectivity based on resting-state fMRI20250 citations
- Global trends and hotspots in exercise therapy for insomnia research: bibliometric and visual analysis20250 citations
- Automatic etiological classification of stroke thrombus digital photographs using a deep learning model20250 citations
- Quality of life and social support as key determinants of anxiety and depression in Myasthenia Gravis: evidence from a Chinese cohort20250 citations
- Electroacupuncture enhances mesenchymal stem cell therapy via improved perfusion and inflammation modulation in peripheral nerve injury: an IVIM-MRI study in …20250 citations
- A clinical study of ultrasound-guided acupotomy combined with mindfulness meditation to improve lumbar myofascial pain syndrome20250 citations
- Clinical daily rhythms of seizure in different subtypes of temporal lobe epilepsy20250 citations
- Impact of sickness induced by centrifugation on tilt perception20250 citations
- Research progress in medical imaging for intracranial aneurysms: technological advances in diagnosis, management, and clinical integration20250 citations
- Research progress in predicting the conversion from mild cognitive impairment to Alzheimer's disease via multimodal MRI and artificial intelligence20250 citations
- Diagnostic utility of20250 citations
- Stroke-like lesion and status epilepticus in a child with NARS2-related combined oxidative phosphorylation deficiency 2420250 citations
- Exploring the feasibility of EEG for pre-hospital detection of medium and large vessel occlusion strokes: a proof-of-concept study20250 citations
- … functional connectivity changes in patients with neuromyelitis optica spectrum disorders and their correlation with cognitive function: a female-dominated multimodal …20250 citations
- Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective …20250 citations
- An exploratory analysis of ACNS electroencephalography patterns in 34 comatose patients after in-hospital cardiopulmonary resuscitation20250 citations
- Research progress of artificial intelligence in Moyamoya disease20250 citations
- Triglyceride-glucose index: a novel prognostic marker for sepsis-associated encephalopathy severity and outcomes20250 citations
- Deep learning-based automated segmentation for the quantitative diagnosis of cerebral small vessel disease via multisequence MRI20250 citations
- Semiological differences between children and adults with temporal lobe epilepsy: a video-EEG based multivariate analysis20250 citations
- From demyelination to neurodegeneration in multiple sclerosis: reassessing the role of visual evoked potential P100-N145 amplitudes: a missing piece of the puzzle?20250 citations
- Remote ischemic conditioning for safety, feasibility and preliminary efficacy of patients with aneurysmal subarachnoid hemorrhage after aneurysm clipping, design …20250 citations
- Gait characteristics and factors associated with fall risk in patients with dementia with Lewy bodies20250 citations
- Analysis of clinical features and genetic variants in Chinese children with pyridoxine-dependent epilepsy: a case series study20250 citations
- Application of algorithms based on improved YOLO in MRI image detection of brain tumors20250 citations
- Real-world brain volumetry in multiple sclerosis: importance of methodological consistency and clinical relevance of gray matter atrophy20250 citations
- Dynamic astrocytic complement C3 activation in the epileptic hippocampus20250 citations
- The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutions20250 citations
- Reproducibility of temporally evolving seizure patterns and network connectivity in focal epilepsy20250 citations
- Benzodiazepines versus non-benzodiazepine antiseizure medications as first-line agents for status epilepticus: analysis of real word data from a 9-years prospective …20250 citations
- … magnetic stimulation reduces nicotine dependence and potentially modulates white matter microstructure in smokers: a pilot study by diffusion spectrum imaging20250 citations
- The research progress on effective connectivity in adolescent depression based on resting-state fMRI20250 citations
- Research progress of multimodal biomarkers in the early diagnosis of mild cognitive impairment in Parkinson's disease20250 citations
- Anti-neuroinflammatory therapy for non-pulsatile tinnitus in patients with sinus vascular anomalies: preliminary result on two cases20250 citations
- Brain activities responding to acupuncture at acupoint in healthy subjects: a study protocol based on task-based fMRI20250 citations
- fNIRS evidence of abnormal frontotemporal cortex activation and functional connectivity in depressed patients after stroke: neuromodulatory mechanisms from mild to …20250 citations
- Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders20250 citations
- Utilizing machine-learning techniques on MRI radiomics to identify primary tumors in brain metastases20250 citations
- Brain age prediction model based on electroencephalogram signal and its application in children with autism spectrum disorders20250 citations
- Acupuncture at Zusanli (ST36) for the benefits of sepsis–laboratory evidence for “preventive treatment of disease” and “holistic concept” in the protective effects of …20250 citations
- Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 200020250 citations
- Effect of the combination of acupuncture based on Yuan-Luo Da-Jie-Jing and repetitive transcranial magnetic stimulation on type 1 complex regional pain after stroke …20250 citations
- The role of the thalamus in focal human epilepsy: insights from stereoelectroencephalography (SEEG)20250 citations
- Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles20250 citations
- Brain atrophy in NMOSD and MOGAD: a meta-analysis of volumetric and DTI biomarkers20250 citations
- Meta-narrative review: the impact of music therapy on sleep and future research directions20250 citations
- White matter changes in recovered COVID-19 patients: insights from DTI, DKI, and NODDI metrics20250 citations
- Influence of semicircular canal morphology on the VOR and swimming activity in larval amphibians: a comparative study in Xenopus and axolotl20250 citations
- Advances in nursing care for post-stroke limb dysfunction rehabilitation20250 citations
- Progress in the application of motor imagery therapy in upper limb motor function rehabilitation of stroke patients with hemiplegia20250 citations
- Wearable neurotechnology systems for upper extremity rehabilitation in children with cerebral palsy: a scoping review20250 citations
- The effect of Zexie decoction on vestibular and auditory function in DDAVP-induced endolymphatic hydrops of Guinea pigs20250 citations
- Interpretable machine learning for predicting early neurological deterioration in symptomatic intracranial atherosclerotic stenosis20250 citations
- White matter structural changes in the visual pathway of thyroid-associated ophthalmopathy patients: a free water and multi-shell diffusion imaging study20250 citations
- Mapping self-awareness of cancer-related cognitive impairment: a scoping review of evidence, methods, and neurobiological correlates20250 citations
- A novel smartphone augmented reality-based solution for small intracranial lesion localization with refined reference markers20250 citations
- Real-world safety comparison between cenobamate and lacosamide: a pharmacovigilance study based on the FDA Adverse Event Reporting System20250 citations
- CTA and DSA based computational fluid dynamics models for morphological and hemodynamic assessment of intracranial atherosclerotic stenosis20250 citations
- Advances in orofacial pain research: a bibliometric analysis20250 citations
- Radiomics and ischemic stroke research: bibliometric insights and visual trends (2004–2024)20250 citations
- Examining for race-associated differences on sway medical system balance and cognitive tests used for sport-related concussion20250 citations
- Application of machine learning approaches to predict seizure-onset zones in patients with drug-resistant epilepsy: a systematic review20250 citations
- Verbal fluency tasks and attention problems in children with ADHD: evidence from fNIRS20250 citations
- An efficient approach for detecting atrial fibrillation in ischemic stroke patients using a wearable device: a prospective multicenter substudy of the STABLED trial20250 citations
- Analysis of the microstates of prolonged disorders of consciousness20250 citations
- Visuospatial processing in20250 citations
- Research progress on the application of functional magnetic resonance imaging in cognitive dysfunction in patients with cerebral small vessel disease20250 citations
- Early nociceptive evoked potentials in symptomatic and asymptomatic transthyretin mutation carriers20250 citations
- The clinical efficacy and mechanism of gamma frequency electroacupuncture stimulation on the rehabilitation of upper limb motor function in stroke patients: study …20250 citations
- Synergistic benefits of melatonin and therapeutic exercise as a unified strategy for managing stroke and doxorubicin-induced cardiotoxicity20250 citations
- The clinical features and 18F-FDG-PET analysis of absence status epilepsy20250 citations
- Accuracy of deep learning in diagnosis of apnea syndrome: a systematic review and meta-analysis20250 citations
- High-definition brain stimulation targeting separate regions leads to differential word retrieval outcomes in patients with primary progressive aphasia: a pilot study20250 citations
- Pilot randomized trial of high-and low-frequency repetitive transcranial magnetic stimulation in post-stroke depression with EEG monitoring20250 citations
- Efficacy and exploratory analysis of potential mechanisms of stellate ganglion block in alleviating sleep disturbance in generalized anxiety disorder: a randomized …20250 citations
- A deep learning-based image analysis model for automated scoring of horizontal ocular movement disorders20250 citations
- A single-center retrospective analysis of autoimmune glial fibrillary acidic protein astrocytopathy with seizures in children20250 citations
- Machine learning applied to mild cognitive impairment: bibliometric and visual analysis from 2015 to 202420250 citations
- Meta-synthesis of rehabilitation experiences and needs of adolescent patients with mild traumatic brain injury20250 citations
- Radiomics prediction of MGMT promoter methylation in adult diffuse gliomas: a combination of structural MRI, DCE, and DTI20250 citations
- Sleep duration and overactive bladder syndrome in US adults: a propensity score matching cohort study using NHANES 2005–201820250 citations
- Imaging biomarkers in optic neuritis: current tools and future directions20250 citations
- Blood-based biomarkers in mild behavioral impairment: an updated overview20250 citations
- Association between C-reactive protein/albumin ratio and mortality in older Japanese patients with post-stroke dysphagia20250 citations
- Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties20250 citations
- Effect of electroencephalogram-guided anesthesia on postoperative delirium in older adults after surgery: a systematic review and meta-analysis20250 citations
- Predictive regression models for cognitive impairment, dementia, and Alzheimer's disease using real-world electronic health records20250 citations
- Efficacy and safety of20250 citations
- Targeted temperature management in patients with acute basilar artery occlusion after successful recanalization20250 citations
- Improving stroke awareness through a culturally adapted audiovisual intervention in the United Arab Emirates20250 citations
- Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning20250 citations
- A prospective multicenter study on prognostic factors and quality of care in Severe Acquired Brain Injury rehabilitation units: a project from the Tiresia network20250 citations
- Photon counting CT vs. flat-panel CT in the evaluation of enhancement patterns in chronic subdural hematoma after middle meningeal artery embolization20250 citations
- A scoping review on the body awareness rehabilitation after stroke: are we aware of what we are unaware?20250 citations
- Progress of radiomics research on white matter hyperintensity lesions20250 citations
- Safety and feasibility of dual antiplatelet therapy termination guided by angioscopic findings 6 months after flow diverter placement20250 citations
- Applications and advances of combined fMRI-fNIRs techniques in brain functional research20250 citations
- Cenobamate modulates EEG cortical activity and connectivity in individuals with drug-resistant epilepsy: a pharmaco-EEG study20250 citations
- Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness20250 citations
- Predictive value of cerebral perfusion and guanine nucleotide-binding protein, alpha-stimulating activity polypeptide in ischemic white matter lesions: a machine …20250 citations
- Predictive value of contrast-enhanced carotid ultrasound features for stroke risk: a systematic review and meta-analysis20250 citations
- Federated learning for lesion segmentation in multiple sclerosis: a real-world multi-center feasibility study20250 citations
- A data-mining analysis of host solute carrier family proteins in SARS-CoV-2 infection with reference to brain endothelial cells and the blood-brain barrier in COVID-1920250 citations
- Integrating machine learning for the identification of ubiquitination-associated genes in moyamoya disease20250 citations
- Explainable machine learning model for predicting the outcome of acute ischemic stroke after intravenous thrombolysis20250 citations
- Concurrent functional-structural reorganization in brain networks of AVM patients: a functional and structural study20250 citations
- Risk factors and clinical significance of refractory pain in patients with bone metastases: a comprehensive meta-analysis20250 citations
- Data transformation of unstructured electroencephalography reports by natural language processing: improving data usability for large-scale epilepsy studies20250 citations
- Quantifying post-treatment vascular remodeling in brain aneurysms using WEKA-based machine learning: a pilot study20250 citations
- Advances in the detection of biomarkers for ischemic stroke20250 citations
- Impact of transcranial direct current stimulation combined with median nerve stimulation on CRS-R in patients with prolonged disorders of consciousness after …20250 citations
- Cueing-assisted gamified augmented-reality gait-and-balance rehabilitation at home for people with Parkinson's disease: protocol of a pragmatic randomized …20250 citations
- … brain–heart health manager–led multidimensional rehabilitation improves functional and psychosocial outcomes in hemorrhagic stroke: a retrospective cohort study20250 citations
- Machine learning consensus clustering for inflammatory subtype analysis in stroke and its impact on mortality risk: a study based on NHANES (1999–2018)20250 citations
- Clinical research progress on pathogenesis and treatment of Patent Foramen Ovale-associated stroke20250 citations
- Oxidative imbalance as a co-player in jaw functional limitations and biopsychosocial profile in patients with temporomandibular disorder—Myofascial pain with referral20250 citations
- Diffusion tensor imaging along the perivascular space may reveal potential pathological mechanisms underlying disease progression in primary open-angle …20250 citations
- Risk factors associated with severe progression of Parkinson's disease: random forest and logistic regression models20250 citations
- Acute symptomatic seizure prevention with perampanel in moderate and severe traumatic brain injury: a retrospective comparison with levetiracetam20250 citations
- Electroencephalographic biomarkers of antibody-mediated autoimmune encephalitis20250 citations
- Predicting functional outcomes of patients with spontaneous intracerebral hemorrhage based on explainable machine learning models: a multicenter retrospective …20250 citations
- Prediction of prognosis in acute ischemic stroke after mechanical thrombectomy based on multimodal MRI radiomics and deep learning20250 citations
- Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach20250 citations
- The study of the effect of virtual reality technology combined with sports games on improving cognitive function in patients with brain injury: a meta analysis of …20250 citations
- Artificial intelligence in the task of segmentation and classification of brain metastases images: current challenges and future opportunities20250 citations
- Research trend of functional magnetic resonance imaging in diabetes mellitus research: a visualization and bibliometric analysis20250 citations
- Medication self-management in patients with epilepsy: a narrative review of current status, influencing factors, and intervention strategies20250 citations
- AI's transformative role in neuro-intervention: enhancing diagnosis and treatment strategies20250 citations
- Evaluating the efficacy of machine learning in predicting postherpetic neuralgia: a systematic review and meta-analysis20250 citations
- Efficacy of auricular point-vagus nerve stimulation in adolescent insomnia patients and the brain function regulation mechanisms: a study protocol for an experimental …20250 citations
- Tracking prodromal Parkinson's disease: a five-year follow-up of the PARCAS cohort20250 citations
- Research trends in post-stroke aphasia (2004–2024): a bibliometric and visualized analysis20250 citations
- GAP-43 is associated with faster amyloid-associated neurodegeneration and cognitive decline in Alzheimer's disease20250 citations
- Meta analysis of the diagnostic efficacy of transformer-based multimodal fusion deep learning models in early Alzheimer's disease20250 citations
- A free association semantic task for fNIRS-based perinatal depression assessment20250 citations
- A machine learning-based predictive nomogram for early neurological improvement after thrombolysis in acute ischemic stroke20250 citations
- Machine learning predicts significant improvement in motor aphasia with tongue acupuncture20250 citations
- Investigation of negative emotions and sleep quality in gastric cancer patients and intervention strategies20250 citations
- Comparison of Radiomics and conventional SUVr methods for Alzheimer's disease classification using AV45 PET imaging20250 citations
- Study on brain functional networks and wearable device monitoring in children with SeLECTs and high spike-wave index (SWI> 50%)20250 citations
- Efficacy of brain–computer interface with functional electrical stimulation, transcranial direct current stimulation, and conventional therapy on upper limb recovery after …20250 citations
- Screening and monitoring of diabetic polyneuropathy in clinical practice: present and future with connected devices20250 citations
- Cognitive-motor interference in multiple sclerosis revisited: a dual-task paradigm using wearable inertial sensors and the Paced Auditory Serial Addition Test20250 citations
- Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics20250 citations
- Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review20250 citations
- Targeting the gut to improve seizure control in CDKL5 deficiency disorder (CDD): study protocol for a single-arm, open-label clinical trial20250 citations
- Clinical utility of semi–automated EEG electric source imaging of interictal discharges in presurgical evaluation and surgical treatment decision making20250 citations
- … of acupuncture combined with hyperbaric oxygenation compared with hyperbaric oxygenation alone for patients with traumatic brain injury: a systematic review and …20250 citations
- Neuroanatomical changes in early Parkinson's disease with mild cognitive impairment: gray matter and white matter damage20250 citations
- Postictal punctate hippocampal diffusion restriction: the chicken or the egg?20250 citations
- Comparative effects of 2 Hz vs. 100 Hz transcutaneous electrical nerve stimulation on upper limb motor function post-stroke: design and rationale for a randomized …20250 citations
- Platelet count and sleep quality in immune thrombocytopenia: correlation with 5-hydroxytryptamine and therapeutic implications of platelet-5-HT-melatonin axis …20250 citations
- A Hybrid Digital-4E Strategy for comorbid migraine and depression: a medical hypothesis on an AI-driven, neuroadaptive, and exposome-aware approach20250 citations
- Identifying depression with mixed features: the potential value of eye-tracking features20250 citations
- Deep learning-based prediction of cerebral white matter hyperintensity burden using carotid magnetic resonance angiography20250 citations
- Machine learning–driven risk prediction of delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage using peripheral inflammatory markers20250 citations
- Rediscovering the carotid pulse: unlocking hidden insights in the era of AI-driven healthcare20250 citations
- Effect of a soft wearable robot suit with hip extensor assistance on gait in patients with Parkinson's disease: a study protocol20250 citations
- Neuropsychological outcome of20250 citations
- Mechanism of cognitive impairment after laparoscopic surgery and nursing application progress based on EEG monitoring20250 citations
- Cerebellar microstructural and functional connectivity changes in patients with neuromyelitis optica spectrum disorders and their correlation with cognitive function: a …20250 citations
- Adaptive multi-scale phase-aware fusion network for EEG seizure recognition20250 citations
- Bibliometric and visualized analysis of current advances and future directions in epilepsy: from molecular basis to therapy20250 citations
- Cerebellar tDCS and pain modulation: a critical integrative and systematic review20250 citations
- Comparative efficacy of different modalities of transcranial magnetic stimulation for treating Parkinson's disease with depression: a systematic review and network …20250 citations
- An interpretable machine learning approach for predicting drug-resistant epilepsy in children with tuberous sclerosis complex20250 citations
- Retrospective analysis of amantadine response and predictive factors in intensive care unit patients with non-traumatic disorders of consciousness20250 citations
- Knowledge mapping and research trends on rehabilitation of patients with mechanical ventilation in the ICU from 2005 to 2024: a bibliometric analysis via CiteSpace …20250 citations
- A narrative review of the economic burden of myelin oligodendrocyte glycoprotein antibody-associated disease and analogous conditions20250 citations
- Neurobiological mechanism of music improving gait disorder in patients with Parkinson's disease: a mini review20250 citations
- Longitudinal alterations in morphological brain networks and cognitive function in common-type COVID-19: a 3-month follow-up study20250 citations
- Combined action observation and motor imagery practice for upper limb recovery following stroke: a systematic review and meta-analysis20250 citations
- Influencing factors related to stroke patients' rehabilitation motivation: a scoping review20250 citations
- Effectiveness and applications of neurologic music therapy in motor and non-motor rehabilitation for older adults with Parkinson's disease: A systematic review and …20250 citations
- Effect of repetitive transcranial magnetic stimulation on upper limb motor function in stroke patients with right hemiplegia based on EEG microstates and EMG20250 citations
- Multisensory integration, brain plasticity and optogenetics in visual rehabilitation20250 citations
- Cerebral microbleeds in traumatic brain injury: their impact on white matter integrity assessed by diffusion MRI20250 citations
- Machine learning-enhanced causal inference of surgical decisions and rehabilitation strategies in traumatic brain injury20250 citations
- Polysomnography validation of SANSA to detect obstructive sleep apnea20250 citations
- Relationship between cognitive dysfunction and urinary 8-OHdG levels in children with obstructive sleep apnea20250 citations
- The global research of magnetic20250 citations
- Evolution in optical molecular imaging techniques guided nerve imaging from 2009 to 2023: a bibliometric and visualization analysis20250 citations
- Reduced frontotemporal connectivity during a verbal fluency task in patients with anxiety, sleep, and major depressive disorders20250 citations
- The impact of brain network microstructural changes on upper limb mirror movements after stroke20250 citations
- Cerebrovascular compromise and cognitive decline driven by chronic heart failure20250 citations
- Profiles of paediatric patients experiencing stroke-like episodes associated with mitochondrial disease20250 citations
- Integrating qualitative and quantitative MRI analysis for optimizing DBS candidate selection in patients with disorders of consciousness20250 citations
- Three-dimensional gait analysis in spinal disorders: biomechanical insights and clinical applications for diagnosis, surgical planning, and rehabilitation20250 citations
- Alterations in the functional connectivity of thalamic subregions after basal ganglia stroke20250 citations
- Digital twin framework for postural tachycardia syndrome and autonomic disorders20250 citations
- High-gamma and beta bursts in the left supramarginal gyrus can differentiate verbal memory states and performance20250 citations
- Characteristics and prognosis of language impairment in subcortical aphasia of acute stroke patients20250 citations
- A characterization study on electroencephalographic changes and lateralization of functional brain connectivity in boys with developmental coordination disorder20250 citations
- Precision medicine for epilepsy: Challenges and perspectives for an optimized clinical care pathway20250 citations
- Feedforward control in children with cerebral palsy and association with white matter integrity20250 citations
- Developing a machine learning model to assist in predicting treatment success in children with drug-resistant epilepsy20250 citations
- Smartphone-based non-invasive biofeedback therapy for post-stroke sleep disorders20250 citations
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05Reviewer comments
Reviewer comments and rejection reasons for Frontiers in Neurology
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06Similar journals
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07Journal Finder
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08Questions
Frequently asked questions
What is the impact factor of Frontiers in Neurology?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of Frontiers in Neurology is 3.09: papers it published in the two previous years were cited 3.09 times on average in a year. The journal is listed in JCR 2024, so Clarivate also publishes an official Journal Impact Factor, which can differ.
What is the h-index of Frontiers in Neurology?
The h-index of Frontiers in Neurology is 161 (OpenAlex, October 2026): 161 of its papers have each been cited at least 161 times. Its i10-index is 9,887.
What is the APC of Frontiers in Neurology?
OpenAlex lists an article processing charge (APC) of about US$3,801 for Frontiers in Neurology, an open access journal (data from October 2026). APCs change and can differ by article type, country or discounts, so confirm the current charge on the journal’s website before submitting.
Is Frontiers in Neurology a Q1 journal?
By 2-year citedness, Frontiers in Neurology ranks 64 of 297 journals in Clinical Neurology, which places it in Q1 of that Web of Science category. This ranking is calculated by ScholarsColab from OpenAlex data; the official JCR quartile can differ.
Is Frontiers in Neurology indexed in Scopus?
Yes. Frontiers in Neurology appears in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Neurology an SCIE journal?
Yes. Frontiers in Neurology is listed in the Science Citation Index Expanded (SCIE), according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Neurology in Journal Citation Reports (JCR)?
Yes. Frontiers in Neurology is listed in JCR 2024, so it has a Journal Impact Factor. For the current impact factor and quartile, check Journal Citation Reports.
What topics does Frontiers in Neurology publish?
The papers published in Frontiers in Neurology that we track most often mention patient, stroke, learn, disease, brain, epilepsy. Check the journal’s aims and scope for its full coverage.
How many papers published in Frontiers in Neurology does ScholarsColab track?
We track 678 papers published in Frontiers in Neurology between 2012 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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