| 期刊全称 | SIAM Journal on Imaging Sciences | ||||||||||||||||||||||||||||||||||||||||
| 期刊缩写 | SIAM J. Imag. Sci. | ||||||||||||||||||||||||||||||||||||||||
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涉及主题
（科研通AI识别） |
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| 期刊介绍 | SIAM Journal on Imaging Sciences (SIIMS) covers all areas of imaging sciences, broadly interpreted. It includes image formation, image processing, image analysis, image interpretation and understanding, imaging-related machine learning, and inverse problems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields. The journal’s scope is meant to be broad enough to include areas now organized under the terms image processing, image analysis, computer graphics, computer vision, visual machine learning, and visualization. Formal approaches, at the level of mathematics and/or computations, as well as state-of-the-art practical results, are expected from manuscripts published in SIIMS. SIIMS is mathematically and computationally based, and offers a unique forum to highlight the commonality of methodology, models, and algorithms among diverse application areas of imaging sciences. SIIMS provides a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications. SIIMS covers a broad range of areas, including but not limited to image formation, image processing, image analysis, computer graphics, computer vision, visualization, image understanding, pattern analysis, machine intelligence, remote sensing, geoscience, signal processing, medical and biomedical imaging, and seismic imaging. The fundamental mathematical theories addressing imaging problems covered by SIIMS include, but are not limited to, harmonic analysis, partial differential equations, differential geometry, numerical analysis, information theory, learning, optimization, statistics, and probability. Research papers that innovate both in the fundamentals and in the applications are especially welcome. SIIMS focuses on conceptually new ideas, methods, and fundamentals as applied to all aspects of imaging sciences. | ||||||||||||||||||||||||||||||||||||||||
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| 期刊ISSN | print: 1936-4954 | ||||||||||||||||||||||||||||||||||||||||
| 2025最新影响因子 (2025年6月18日公布) 与上一年的差值 |
2.3↑ 0.2 | ||||||||||||||||||||||||||||||||||||||||
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| 历年发表/被引量 （科研通AI通过大数据分析） 最后更新日期：2026-03-06 |
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| h-index（2021） | 53 | ||||||||||||||||||||||||||||||||||||||||
| 自引率 | 14.30% | ||||||||||||||||||||||||||||||||||||||||
| 涉及的研究领域 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, SOFTWARE ENGINEERING | ||||||||||||||||||||||||||||||||||||||||
| 中科院2025年分区 （2025年3月20日发布） |
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| WOS期刊分区 （2025年6月18日公布） |
JCR学科分类
JCI学科分类
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| 中科院2024年分区 （2023年12月27日发布） |
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| 中科院《国际期刊预警名单（试行）》名单 |
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 2021年01月发布的2020版：不在预警名单中 |
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| 期刊主页 |
（系统检测到多个链接，仅供参考，如有错误，请通过页面底部反馈） |
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| 投稿网址 | http://siims.siam.org/cgi-bin/main.plex | ||||||||||||||||||||||||||||||||||||||||
| 编辑部地址 | SIAM PUBLICATIONS, 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, USA, PA, 19104-2688 | ||||||||||||||||||||||||||||||||||||||||
| 出版商 | Society for Industrial and Applied Mathematics Publications | ||||||||||||||||||||||||||||||||||||||||
| 出版国家（地区） | UNITED STATES | ||||||||||||||||||||||||||||||||||||||||
| 出版语言 | English | ||||||||||||||||||||||||||||||||||||||||
| 出版周期 | Quarterly | ||||||||||||||||||||||||||||||||||||||||
| 创刊年份 | 2008 | ||||||||||||||||||||||||||||||||||||||||
| 每年出版文章数 | 63 | ||||||||||||||||||||||||||||||||||||||||
| Gold OA文章占比 | 1.97% | ||||||||||||||||||||||||||||||||||||||||
| 原创研究文献占比 （排除综述） |
100.00% | ||||||||||||||||||||||||||||||||||||||||
| SCI收录类型 |
Science Citation Index Expanded (SCIE) Scopus (CiteScore) |
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| PubMed链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1936-4954%5BISSN%5D | ||||||||||||||||||||||||||||||||||||||||
| 平均审稿周期 | 网友分享经验： >12周，或约稿 |
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| 平均录用比例 | 网友分享经验： 较易 |
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| 相关链接 |
您可以在上述网站查看该期刊的网友互动，及期刊影响力的其它指标。
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