期刊档案

Frontiers in Computational Neuroscience

— · ISSN 1662-5188 · MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

数据可追溯 · letpub-v6 · 更新于 2026-08-25
影响指标3.23
h-index44
平均审稿速度网友分享经验:较慢,6-12周
平均录用比例网友分享经验:较易

期刊简介

研究范围与定位

Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions.Also: comp neuro

结构化分区

学科分区明细

不同版本、大类与小类分别展示,不将不同评价口径合并为一个分区值。

《新锐期刊分区表》( 2026年3月发布)

2026-03 · 3 个学科记录

Top:否综述:N/A
类别学科分区
大类医学4区
小类数学与计算生物学MATHEMATICAL & COMPUTATIONAL BIOLOGY3区
小类神经科学NEUROSCIENCES4区

期刊分区表( 2025年3月升级版)

2025-03 · 3 个学科记录

Top:否综述:否
类别学科分区
大类医学4区
小类数学与计算生物学MATHEMATICAL & COMPUTATIONAL BIOLOGY4区
小类神经科学NEUROSCIENCES4区

期刊分区表( 2023年12月旧的升级版)

2023-12 · 3 个学科记录

Top:否综述:否
类别学科分区
大类医学4区
小类数学与计算生物学MATHEMATICAL & COMPUTATIONAL BIOLOGY3区
小类神经科学NEUROSCIENCES4区

期刊档案

出版与身份

期刊ISSN
1662-5188
是否OA开放访问
Yes
通讯方式
AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, SWITZERLAND, CH-1015
出版商
Frontiers Media S.A.
出版国家或地区
SWITZERLAND
出版语言
English
出版年份
2007

期刊档案

研究范围

期刊简介
Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions.Also: comp neuro
涉及的研究方向
MATHEMATICAL & COMPUTATIONAL BIOLOGY-NEUROSCIENCES

期刊档案

指标与活跃度

2025-2026最新IF(数据来源于网友提供)
注册或登录后,查看IF
实时影响因子
截止2026年5月06日:3.23
2025-2026自引率
3.0%点击查看自引率趋势图
五年IF(数据来源于网友提供)
3.202数据由网友[hero_samurai]收集提供
h-index
44
CiteScore ( 2026年6月最新版)
CiteScoreSJRSNIPCiteScore排名6.100.6880.932学科分区排名百分位大类:Neuroscience小类:Neuroscience (miscellaneous)Q117 / 74 大类:Neuroscience小类:Cellular and Molecular NeuroscienceQ243 / 102
年文章数
85点击查看年文章数趋势图
Gold OA文章占比
100.00%
研究类文章占比:文章 ÷(文章 + 综述)
96.47%

期刊档案

分区、收录与风险

WOS期刊JCR分区 ( 2025-2026年最新版)
注册或登录后,查看WOS分区等级
期刊分区表预警名单
2026年03月发布的新锐学术版:不在预警名单中2025年03月发布的2025版:不在预警名单中2024年02月发布的2024版:不在预警名单中2023年01月发布的2023版:不在预警名单中2021年12月发布的2021版:不在预警名单中2020年12月发布的2020版:不在预警名单中
SCI期刊收录coverage
Science Citation Index Expanded (SCIE) (2020年1月,原SCI撤销合并入SCIE,统称SCIE)Scopus (CiteScore)Directory of Open Access Journals (DOAJ)
PubMed Central (PMC)链接
访问官方页面 ↗

期刊档案

投稿与评审

期刊官方网站
访问官方页面 ↗
期刊投稿网址
访问官方页面 ↗
平均审稿速度
网友分享经验:较慢,6-12周
平均录用比例
网友分享经验:较易

来源与统计口径

来源:LetPub 原始详情页 ↗。投稿经验仅展示聚合统计,不公开第三方正文或用户标识。当前聚合样本:暂无。