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Frontiers In Neurorobotics

Frontiers In NeuroroboticsSCIE

國際簡稱:FRONT NEUROROBOTICS  參考譯名:神經機器人學前沿

  • 中科院分區

    4區

  • CiteScore分區

    Q2

  • JCR分區

    Q3

基本信息:
ISSN:1662-5218
E-ISSN:1662-5218
是否OA:開放
是否預警:否
TOP期刊:否
出版信息:
出版地區:SWITZERLAND
出版商:Frontiers Media S.A.
出版語言:English
出版周期:1 issue/year
出版年份:2007
研究方向:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
評價信息:
影響因子:2.6
H-index:23
CiteScore指數:5.2
SJR指數:0.676
SNIP指數:0.938
發文數據:
Gold OA文章占比:99.85%
研究類文章占比:95.26%
年發文量:190
自引率:0.0645...
開源占比:0.9964
出版撤稿占比:0
出版國人文章占比:0.2
OA被引用占比:1
英文簡介 期刊介紹 CiteScore數據 中科院SCI分區 JCR分區 發文數據 常見問題

英文簡介Frontiers In Neurorobotics期刊介紹

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 R?hrbein at the Technische Universit?t 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.

期刊簡介Frontiers In Neurorobotics期刊介紹

《Frontiers In Neurorobotics》自2007出版以來,是一本計算機科學優秀雜志。致力于發表原創科學研究結果,并為計算機科學各個領域的原創研究提供一個展示平臺,以促進計算機科學領域的的進步。該刊鼓勵先進的、清晰的闡述,從廣泛的視角提供當前感興趣的研究主題的新見解,或審查多年來某個重要領域的所有重要發展。該期刊特色在于及時報道計算機科學領域的最新進展和新發現新突破等。該刊近一年未被列入預警期刊名單,目前已被權威數據庫SCIE收錄,得到了廣泛的認可。

該期刊投稿重要關注點:

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

  • CiteScore:5.2
  • SJR:0.676
  • SNIP:0.938
學科類別 分區 排名 百分位
大類:Engineering 小類:Biomedical Engineering Q2 126 / 303

58%

大類:Engineering 小類:Artificial Intelligence Q2 156 / 350

55%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻計量指標。反映出一家期刊近期發表論文的年篇均引用次數。CiteScore以Scopus數據庫中收集的引文為基礎,針對的是前四年發表的論文的引文。CiteScore的意義在于,它可以為學術界提供一種新的、更全面、更客觀地評價期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標來評價。

歷年Cite Score趨勢圖

中科院SCI分區Frontiers In Neurorobotics 中科院分區

中科院 2023年12月升級版 綜述期刊:否 Top期刊:否
大類學科 分區 小類學科 分區
計算機科學 4區 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機:人工智能 NEUROSCIENCES 神經科學 ROBOTICS 機器人學 4區 4區 4區

中科院分區表 是以客觀數據為基礎,運用科學計量學方法對國際、國內學術期刊依據影響力進行等級劃分的期刊評價標準。它為我國科研、教育機構的管理人員、科研工作者提供了一份評價國際學術期刊影響力的參考數據,得到了全國各地高校、科研機構的廣泛認可。

中科院分區表 將所有期刊按照一定指標劃分為1區、2區、3區、4區四個層次,類似于“優、良、及格”等。最開始,這個分區只是為了方便圖書管理及圖書情報領域的研究和期刊評估。之后中科院分區逐步發展成為了一種評價學術期刊質量的重要工具。

歷年中科院分區趨勢圖

JCR分區Frontiers In Neurorobotics JCR分區

2023-2024 年最新版
按JIF指標學科分區 收錄子集 分區 排名 百分位
學科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q3 104 / 197

47.5%

學科:NEUROSCIENCES SCIE Q3 176 / 310

43.4%

學科:ROBOTICS SCIE Q3 25 / 46

46.7%

按JCI指標學科分區 收錄子集 分區 排名 百分位
學科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE SCIE Q2 90 / 198

54.8%

學科:NEUROSCIENCES SCIE Q3 191 / 310

38.55%

學科:ROBOTICS SCIE Q3 24 / 46

48.91%

JCR分區的優勢在于它可以幫助讀者對學術文獻質量進行評估。不同學科的文章引用量可能存在較大的差異,此時單獨依靠影響因子(IF)評價期刊的質量可能是存在一定問題的。因此,JCR將期刊按照學科門類和影響因子分為不同的分區,這樣讀者可以根據自己的研究領域和需求選擇合適的期刊。

歷年影響因子趨勢圖

發文數據

2023-2024 年國家/地區發文量統計
  • 國家/地區數量
  • CHINA MAINLAND103
  • GERMANY (FED REP GER)67
  • USA49
  • Italy36
  • Japan29
  • England27
  • France25
  • Switzerland18
  • Spain17
  • Canada12

本刊中國學者近年發表論文

  • 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

投稿常見問題

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