Journal of Computational Neuroscience
Impact Factor Trend (2018–2026)
Clarivate IF trend for Journal of Computational Neuroscience
SCImago Journal Rank citation prestige weighting
89 papers with at least that number of citations each
Aims & Scope
The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
Special Issues
Calls for PapersNo active Calls for Papers found for this journal.
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
MATHEMATICAL & COMPUTATIONAL BIOLOGY
NEUROSCIENCES
MATHEMATICAL & COMPUTATIONAL BIOLOGY
NEUROSCIENCES
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Journal Metrics & Citation Visualizations
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Academic Intelligence Overview & Context
ImpaQ AnalysisJournal of Computational Neuroscience (abbr: J. COMPUT. NEUROSCI, ISSN: 0929-5313) is a peer-reviewed international scholarly journal in the field of Biology, published by Springer US in United States since 1994. The periodical holds a Journal Impact Factor (JIF) of 1.40, ranking in quartile Q4 of Web of Science (SCIE), a Scopus SJR indicator of 0.449 (Q3), an H-index of 89.
The journal enforces rigorous peer evaluation with a publication frequency of Bimonthly, an annual output of approximately 26 scientific articles. In terms of accessibility and author fees, it operates under the Hybrid model with an estimated APC of $2,861 USD. It serves as a benchmark publication platform for academics, researchers, and doctoral candidates seeking global research visibility.
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
Similar Journals in Discipline
Journals in the same research field with comparable impact metrics