2021年最新SCI期刊影响因子查询系统
MACHINE VISION AND APPLICATIONS 期刊详细信息
基本信息
期刊名称 | MACHINE VISION AND APPLICATIONS MACHINE VISION AND APPLICATIONS |
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期刊ISSN | 0932-8092 |
期刊官方网站 | http://www.springer.com/computer/image+processing/journal/138 |
是否OA | 否 |
出版商 | Springer Verlag |
出版周期 | Bimonthly |
始发年份 | 1988 |
年文章数 | 87 |
最新影响因子 | 2.983(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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工程技术4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能4区 | 否 | 否 |
COMPUTER SCIENCE, CYBERNETICS 计算机:控制论3区 | |||
ENGINEERING, ELECTRICAL & ELECTRONIC 工程:电子与电气4区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 2.22 | 0.375 | 1.018 |
Computer Science Computer Vision and Pattern Recognition |
29 / 75 | 62% |
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Computer Science Hardware and Architecture |
47 / 152 | 69% |
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Computer Science Software |
138 / 360 | 61% |
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Computer Science Computer Science Applications |
199 / 569 | 65% |
补充信息
自引率 | 3.60% |
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H-index | 50 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | Submission to first decision 102 days |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0932-8092%5BISSN%5D |
投稿指南
期刊投稿网址 | http://www.editorialmanager.com/mvap/ |
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收稿范围 | Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically, the editors encourage submittals in all applications and engineering aspects of image-related computing. In particular, original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are all within the scope of the journal. Particular emphasis is placed on engineering and technology aspects of image processing and computer vision. The following aspects of machine vision applications are of interest: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization. Papers must include a significant experimental validation component. |
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