This journal is not listed in the SCIE, SSCI, AHCI, ESCI, Scopus or JCR 2024 lists. That does not make it unreliable, but check its indexing, peer review and fees carefully.
How to spot predatory journals →01Indexing
Indexing of Front. Comput. Neurosci
| List | Status |
|---|---|
| Science Citation Index Expanded (SCIE) | Not listed |
| Social Sciences Citation Index (SSCI) | Not listed |
| Arts & Humanities Citation Index (AHCI) | Not listed |
| Emerging Sources Citation Index (ESCI) | Not listed |
| Scopus | Not listed |
| Journal Citation Reports 2024 | Not listed |
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).
02What it publishes
What Front. Comput. Neurosci 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:
03Published papers
Papers published in Front. Comput. Neurosci
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Computational modeling of resistance to hormone-mediated remission in childhood absence epilepsy20260 citations
- Bridging neuromorphic computing and deep learning for next-generation neural data interpretation20260 citations
- Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit20250 citations
- An AI methodology to reduce training intensity, error rates, and size of neural networks20250 citations
- Transformer-based multimodal precision intervention model for enhancing diaphragm function in elderly patients20250 citations
- Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based …20250 citations
- DTCNet: finger flexion decoding with three-dimensional ECoG data20250 citations
- Time-domain brain: Temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory …20250 citations
- Exploring subthreshold processing for next-generation TinyAI20250 citations
- A hierarchical Bayesian inference model for volatile multivariate exponentially distributed signals20250 citations
- Closed-loop coupling of both physiological spindle model and spinal pathways for sensorimotor control of human center-out reaching20250 citations
- Exploring internal representations of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects20250 citations
- Further N-Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical …20250 citations
- Reinforcement learning-based SDN routing scheme empowered by causality detection and GNN20240 citations
- A combinatorial deep learning method for Alzheimer's disease classification-based merging pretrained networks20240 citations
- Skeleton-based motion prediction: A survey20230 citations
- Neural heterogeneity as a unifying mechanism for efficient learning in spiking neural networks20230 citations
- Positional multi-length and mutual-attention network for epileptic seizure classification20230 citations
- Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction20230 citations
- Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements20230 citations
- SaE-GBLS: an effective self-adaptive evolutionary optimized graph-broad model for EEG-based automatic epileptic seizure detection20230 citations
- Computational methods for neuroimaging: Challenges and future trends20230 citations
- AI and inverse methods for building digital twins in neuroscience20230 citations
- Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach20230 citations
- How to be an integrated information theorist without losing your body20230 citations
- Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data20230 citations
- Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages20230 citations
- A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection20230 citations
- Learning cortical hierarchies with temporal Hebbian updates20230 citations
- Knowledge graph construction for heart failure using large language models with prompt engineering20230 citations
- Quasicriticality explains variability of human neural dynamics across life span20230 citations
- Recent advances in EEG (non-invasive) based BCI applications20230 citations
- Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition20230 citations
- Text clustering based on pre-trained models and autoencoders20230 citations
- Neuro-detection: advancements in pattern detection and segmentation techniques in neuroscience20230 citations
- Generalizing location-centric variations to enhance contactless human activity recognition20230 citations
- Advances in computer science and their impact on data acquisition and analysis in neuroscience20230 citations
- Engineered biological neuronal networks as basic logic operators20230 citations
- Analytical computation for segmentation and classification of lumbar vertebral fractures20230 citations
- Computational analysis of learning in young and ageing brains20230 citations
- Status of deep learning for EEG-based brain–computer interface applications20230 citations
- Light-efficient channel attention in convolutional neural networks for tic recognition in the children with tic disorders20220 citations
- Convolutional-de-convolutional neural networks for recognition of surgical workflow20220 citations
- Treatment Response Prediction for Major Depressive Disorder Patients via Multivariate Pattern Analysis of Thalamic Features20220 citations
- Universal differential equations as a unifying modeling language for neuroscience20220 citations
- EEG-based emotion recognition using hybrid CNN and LSTM classification20220 citations
- Intelligent recommendation system based on decision model of archive translation tasks20220 citations
- Electroencephalogram emotion recognition based on 3D feature fusion and convolutional autoencoder20210 citations
- Review on emotion recognition based on electroencephalography20210 citations
- Brain-inspired intelligence: the deep integration of brain science and artificial intelligence20190 citations
- Nonlinear coupling between cortical oscillations and muscle activity during isotonic wrist flexion20160 citations
04Reviewer comments
Reviewer comments and rejection reasons for Front. Comput. Neurosci
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to Front. Comput. Neurosci, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
Audit my paper before I submit →Not sure yet? Check if your paper is ready for this journal: free, no AI, under 5 secondsPreparing to submit here? Make sure reviewers don't stop at the issues they raise most often. A PhD reviewer in your area can audit your manuscript section by section, and we can convert it into the journal's LaTeX template.
05Similar journals
Journals similar to Front. Comput. Neurosci
Journals that publish the closest work to the papers above:
- Journal of Theoretical and Applied Information TechnologyScopus14 similar papers
- PLoS Computational BiologySCIEScopusJCR 202411 similar papers
- Frontiers in NeuroscienceSCIEScopusJCR 202410 similar papers
- Frontiers in NeuroroboticsSCIEScopusJCR 202410 similar papers
- Frontiers in Bioengineering and BiotechnologySCIEScopusJCR 20245 similar papers
- International Journal of Advances in Intelligent InformaticsScopus4 similar papers
06Journal Finder
Find the right journal for your paper
Is Front. Comput. Neurosci right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,435 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
07Questions
Frequently asked questions
Is Front. Comput. Neurosci indexed in Scopus?
Front. Comput. Neurosci is not listed 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 Front. Comput. Neurosci an SCIE journal?
Front. Comput. Neurosci is not listed in SCIE or the other Web of Science indexes, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Front. Comput. Neurosci in Journal Citation Reports (JCR)?
Front. Comput. Neurosci is not listed in the JCR 2024 list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
What topics does Front. Comput. Neurosci publish?
The papers published in Front. Comput. Neurosci that we track most often mention network, model, neural, learning, recognition, detection. Check the journal’s aims and scope for its full coverage.
How many papers published in Front. Comput. Neurosci does ScholarsColab track?
We track 51 papers published in Front. Comput. Neurosci between 2016 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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