SIAM Journal on Imaging Sciences

SIAM Journal on Imaging Sciences 由 Society for Industrial and Applied Mathematics Publications 出版，属中科院数学大类（2025 升级版3区）。按 OpenAlex 近年发文统计，该刊主要发表 Sparse and Compressive Sensing Techniques、Image and Signal Denoising Methods、Numerical methods in inverse problems 等主题的论文，这 3 个主题约占 37.5%，主导子领域为 Computer Vision and Pattern Recognition。（根据 OpenAlex 主题统计与中科院分区数据生成）

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.

来源：LetPub

研究方向（LetPub）：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, SOFTWARE ENGINEERING

主编 Gabriele Steidl出版商官网

编委会国家分布：未见中国大陆编委；主要国家 中国香港 1、丹麦 1、芬兰 1、以色列 1、新加坡 1（共 5 位编委标注了国家） 编委会 ↗出版商官网 · 2026-10-01

中科院期刊分区表

数据库收录

SCIEScopusLetPub

国际期刊预警名单：各版本均未列入LetPub

不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

影响因子

2.47LetPub · 2026-09-13

CiteScore 2026-06

4.4LetPub · 2026-09-13

SJR 2026-06

0.78LetPub · 2026-09-13

SNIP 2026-06

1.35LetPub · 2026-09-13

h-index

53LetPub · 2026-09-13

h-index

106OpenAlex · 2026-10-01

i10-index

745OpenAlex · 2026-10-01

两年平均被引

2.6OpenAlex · 2026-10-01

自引率

16%LetPub · 2026-09-13

Gold OA 文章占比

3.91%LetPub · 2026-09-13

发文规模

年文章数

82LetPub · 2026-09-13

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

平均审稿速度（社区反馈）

>12周，或约稿LetPub · 2026-09-13

平均录用比例（社区反馈）

较易LetPub · 2026-09-13

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

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出版商

Society for Industrial and Applied Mathematics Publications

出版国家或地区

UNITED STATES

出版语言

English

出版周期

Quarterly

创刊年份

2008

ISSN

1936-4954

官网最新一期

Volume 19（2026 年）

官方链接

• 期刊主页 ↗OpenAlex
• 投稿系统 ↗LetPub
• 专刊 / 特刊征稿 ↗出版商官网