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Frontiers In Neurorobotics

Frontiers In NeuroroboticsSCIE

国际简称:FRONT NEUROROBOTICS  参考译名:神经机器人学前沿

  • 中科院分区

    4区

  • CiteScore分区

    Q2

  • JCR分区

    Q3

基本信息:
ISSN:1662-5218
E-ISSN:1662-5218
是否OA:开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:SWITZERLAND
出版商:Frontiers Media S.A.
出版语言:English
出版周期:1 issue/year
出版年份:2007
研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
评价信息:
影响因子:2.6
H-index:23
CiteScore指数:5.2
SJR指数:0.676
SNIP指数:0.938
发文数据:
Gold OA文章占比:99.85%
研究类文章占比:95.26%
年发文量:190
自引率:0.0645...
开源占比:0.9964
出版撤稿占比:0
出版国人文章占比:0.2
OA被引用占比:1
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Frontiers In Neurorobotics期刊介绍

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.

期刊简介Frontiers In Neurorobotics期刊介绍

《Frontiers In Neurorobotics》自2007出版以来,是一本计算机科学优秀杂志。致力于发表原创科学研究结果,并为计算机科学各个领域的原创研究提供一个展示平台,以促进计算机科学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道计算机科学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Frontiers In Neurorobotics Cite Score数据

  • CiteScore:5.2
  • SJR:0.676
  • SNIP:0.938
学科类别 分区 排名 百分位
大类:Engineering 小类:Biomedical Engineering Q2 126 / 303

58%

大类:Engineering 小类:Artificial Intelligence Q2 156 / 350

55%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Frontiers In Neurorobotics 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
计算机科学 4区 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能 NEUROSCIENCES 神经科学 ROBOTICS 机器人学 4区 4区 4区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Frontiers In Neurorobotics JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q3 104 / 197

47.5%

学科:NEUROSCIENCES SCIE Q3 176 / 310

43.4%

学科:ROBOTICS SCIE Q3 25 / 46

46.7%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 90 / 198

54.8%

学科:NEUROSCIENCES SCIE Q3 191 / 310

38.55%

学科:ROBOTICS SCIE Q3 24 / 46

48.91%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND103
  • GERMANY (FED REP GER)67
  • USA49
  • Italy36
  • Japan29
  • England27
  • France25
  • Switzerland18
  • Spain17
  • Canada12

本刊中国学者近年发表论文

  • 1、Grade-control outdoor turning flight of robo-pigeon with quantitative stimulus parameters

    Author: Fang, Ke; Mei, Hao; Tang, Yezhong; Wang, Wenbo; Wang, Hao; Wang, Zhouyi; Dai, Zhendong

    Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1143601

  • 2、Real-time depth completion based on LiDAR-stereo for autonomous driving

    Author: Wei, Ming; Zhu, Ming; Zhang, Yaoyuan; Wang, Jiarong; Sun, Jiaqi

    Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1124676

  • 3、Automatic vessel plate number recognition for surface unmanned vehicles with marine applications

    Author: Zhang, Renran; Zhang, Lei; Su, Yumin; Yu, Qingze; Bai, Gaoyi

    Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1131392

  • 4、A directionally selective collision-sensing visual neural network based on fractional-order differential operator

    Author: Wang, Yusi; Li, Haiyang; Zheng, Yi; Peng, Jigen

    Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1149675

  • 5、Advances on intelligent algorithms for scientific computing: an overview

    Author: Hua, Cheng; Cao, Xinwei; Liao, Bolin; Li, Shuai

    Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1190977

  • 6、A comparative analysis of near-infrared image colorization methods for low-power NVIDIA Jetson embedded systems

    Author: Shi, Shengdong; Jiang, Qian; Jin, Xin; Wang, Weiqiang; Liu, Kaihua; Chen, Haiyang; Liu, Peng; Zhou, Wei; Yao, Shaowen

    Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 17, Issue , pp. -. DOI: 10.3389/fnbot.2023.1143032

  • 7、Anomaly detection in images with shared autoencoders

    Author: Jia, Haoyang; Liu, Wenfen

    Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fnbot.2022.1046867

  • 8、Study on the enhancement method of online monitoring image of dense fog environment with power lines in smart city

    Author: Zhang, Meng; Song, Zhitao; Yang, Jianfei; Gao, Mingliang; Hu, Yuanchao; Yuan, Chi; Jiang, Zhipeng; Cheng, Wei

    Journal: FRONTIERS IN NEUROROBOTICS. 2023; Vol. 16, Issue , pp. -. DOI: 10.3389/fnbot.2022.1104559

投稿常见问题

通讯方式:AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, SWITZERLAND, CH-1015。