2021年最新SCI期刊影响因子查询系统
Applications of Mathematics 期刊详细信息
基本信息
期刊名称 | Applications of Mathematics Applications of Mathematics |
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期刊ISSN | 0862-7940 |
期刊官方网站 | http://www.journals.elsevier.com/applied-and-computational-harmonic-analysis/ |
是否OA | 否 |
出版商 | Academic Press Inc. |
出版周期 | Bimonthly |
始发年份 | 1993 |
年文章数 | 61 |
最新影响因子 | 0.674(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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数学1区 | MATHEMATICS, APPLIED 应用数学1区 | 是 | 否 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 3.36 | 1.317 | 1.974 |
Mathematics Applied Mathematics |
27 / 460 | 94% |
补充信息
自引率 | 6.40% |
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H-index | 70 |
SCI收录状况 |
Science Citation Index
Science Citation Index Expanded |
官方审稿时间 | |
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=1063-5203%5BISSN%5D |
投稿指南
期刊投稿网址 | http://ees.elsevier.com/acha/default.asp?acw=6012 |
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收稿范围 | Applied and Computational Harmonic Analysis (ACHA) is an interdisciplinary journal that publishes high-quality papers in all areas of mathematical sciences related to the applied and computational aspects of harmonic analysis, with special emphasis on innovative theoretical development, methods, and algorithms, for information processing, manipulation, understanding, and so forth. The objectives of the journal are to chronicle the important publications in the rapidly growing field of data representation and analysis, to stimulate research in relevant interdisciplinary areas, and to provide a common link among mathematical, physical, and life scientists, as well as engineers. Applied and computational harmonic analysis covers, in the broadest sense, topics that include but not limited to: I Signal and Function Representations • continuous and discrete wavelet transform • wavelet frames • wavelet algorithms •local time-frequency and time-scale basis functions • multi-scale and multi-level methods • refinable functions II Representation of Abstract and High-dimensional Objects • diffusion wavelets and geometry • harmonic analysis on graphs and trees • sparse data representation • compressive sampling • compressed sensing • matrix completion • random matrices and projections • data dimensionality reduction • high-dimensional integration III Application Areas • data compression • signal and image processing • learning theory and algorithms • computer-aided geometric design • extra large data analysis and understanding • data recovery and image inpainting • data mining • hyperspectral imaging • novel sensors and systems |
收录体裁 | regular (full) papers Letters to the Editors and Case Studies Case Studies |
投稿指南 | https://www.elsevier.com/journals/applied-and-computational-harmonic-analysis/1063-5203/guide-for-authors |
投稿模板 | |
参考文献格式 | https://www.elsevier.com/journals/applied-and-computational-harmonic-analysis/1063-5203/guide-for-authors |
编辑信息 |