Impact Factor 3.161 | CiteScore 3.13
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Computational Psychiatry publishes original peer-reviewed research articles that aim to understand psychiatric disorders through computational modeling of brain with using data from multiple disciplines examined at different levels.Read More
Computational Psychiatry publishes original peer-reviewed research articles that aim to understand psychiatric disorders through computational modeling of brain with using data from multiple disciplines examined at different levels. Topics include psychiatric taxonomy, computational work with brain histology, multimodal neuroimaging, establishing clinical relevance of computational research such as clinical applications of brain imaging data in the emerging field of psychoradiology, computational and statistical methodologies, defining patient subgroups empirically using machine learning approaches, and translational medicine. Special emphasis is placed on application of state-of-the-art methodologies and data integration approaches to study mental disorders or advance understanding of them. Presentations of new computational and statistical approaches to address questions in psychiatry research are also welcome.
Indexed in: PubMed, PubMed Central, Scopus, Google Scholar, DOAJ, CrossRef, PsycINFO, EMBASE, Science Citation Index Expanded, CLOCKSS, Social Science Citation Index
PMCID: all published articles receive a PMCID
Computational Psychiatry welcomes submissions of the following article types: Brief Research Report, Case Report, Clinical Trial, Correction, Editorial, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Study Protocol and Systematic Review.
All manuscripts must be submitted directly to the section Computational Psychiatry, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
Articles published in the section Computational Psychiatry will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in all Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Psychiatry.
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