SIAM Journal on Imaging Sciences

SCI期刊
SIAM Journal on Imaging Sciences
中文名称:
暹罗影像科学杂志
期刊缩写:
SIAM J. Imag. Sci.
影响因子:
2.1
ISSN:
print: 1936-4954
研究领域:
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, SOFTWARE ENGINEERING
创刊年份:
2008年
h-index:
53
自引率:
4.80%
Gold OA文章占比:
1.97%
原创研究文献占比:
100.00%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
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.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
3.80.9601.335
学科
排名
百分位
大类:Mathematics
小类:General Mathematics
45 / 399
88%
大类:Mathematics
小类:Applied Mathematics
153 / 635
75%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
3区 数学
3区 成像科学与照相技术 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
3区 应用数学 MATHEMATICS, APPLIED
4区 计算机:人工智能 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
4区 计算机:软件工程 COMPUTER SCIENCE, SOFTWARE ENGINEERING
WOS期刊分区
学科分类
Q3COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q2COMPUTER SCIENCE, SOFTWARE ENGINEERING
Q3IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Q1MATHEMATICS, APPLIED
历年影响因子
2015年2.6870
2016年2.4850
2017年2.3610
2018年2.5140
2019年2.3130
2020年2.8670
2021年1.9380
2022年2.1000
2023年2.1000
历年发表
2012年49
2013年100
2014年107
2015年102
2016年79
2017年77
2018年95
2019年77
2020年77
2021年68
2022年58
投稿信息
出版周期:
Quarterly
出版语言:
English
出版国家(地区):
UNITED STATES
审稿时长:
>12 weeks
出版商:
Society for Industrial and Applied Mathematics Publications
编辑部地址:
SIAM PUBLICATIONS, 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, USA, PA, 19104-2688

SIAM Journal on Imaging Sciences - 最新文献

Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors

Pub Date : 2024-09-17 DOI: 10.1137/23m1578358 Junren Chen, Zhaoqiang Liu, Meng Ding, Michael K. Ng

Restoration Guarantee of Image Inpainting via Low Rank Patch Matrix Completion

Pub Date : 2024-09-12 DOI: 10.1137/23m1614456 Jian-Feng Cai, Jae Kyu Choi, Jingyang Li, Guojian Yin

Inclusion and Estimates for the Jumps of Minimizers in Variational Denoising

Pub Date : 2024-09-06 DOI: 10.1137/23m1627948 Antonin Chambolle, Michał Łasica
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