期刊档案
Frontiers in Neurorobotics
— · ISSN 1662-5218 · COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
数据可追溯 · letpub-v6 · 更新于 2026-08-25期刊简介
研究范围与定位
Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
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 · 4 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 3区 |
| 小类 | 计算机:人工智能COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 3区 |
| 小类 | 机器人学ROBOTICS | 3区 |
| 小类 | 神经科学NEUROSCIENCES | 4区 |
期刊分区表( 2025年3月升级版)
2025-03 · 4 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 4区 |
| 小类 | 计算机:人工智能COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 4区 |
| 小类 | 神经科学NEUROSCIENCES | 4区 |
| 小类 | 机器人学ROBOTICS | 4区 |
期刊分区表( 2023年12月旧的升级版)
2023-12 · 4 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 4区 |
| 小类 | 计算机:人工智能COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 4区 |
| 小类 | 神经科学NEUROSCIENCES | 4区 |
| 小类 | 机器人学ROBOTICS | 4区 |
期刊档案
出版与身份
- 期刊ISSN
- 1662-5218
- 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
- 0
期刊档案
研究范围
- 期刊简介
- Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide.Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
- 涉及的研究方向
- COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
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:3.48
- 2025-2026自引率
- 2.9%点击查看自引率趋势图
- 五年IF(数据来源于网友提供)
- 3.498数据由网友[纯粹清风]收集提供
- h-index
- 23
- CiteScore ( 2026年6月最新版)
- CiteScoreSJRSNIPCiteScore排名8.600.7061.114学科分区排名百分位大类:Computer Science小类:Artificial IntelligenceQ1121 / 570 78% 大类:Computer Science小类:Biomedical EngineeringQ177 / 342 77%
- 年文章数
- 76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)
- 96.05%
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
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。