
Patterns
ISSN | 2666-3899 | 影响因子 | 7.4 | 自引率 | 1.40% | 研究类文章占比 | 85.26% | 中科院分区 | 计算机科学 2区 |
h-index | 暂无 | 年文章数 | 暂无 | OA文章占比 | 94.60% | JCI期刊引文指标 | 1.29 | JCR分区 | Q2 |
期刊简称
期刊简介
Patterns is a premium open access journal from Cell Press, publishing ground-breaking original research across the full breadth of data science. We’re all about sharing data science solutions to problems that cross domain boundaries.AccessibleGood solutions deserve a big audiencePatterns reaches a broad, global audience of computer scientists, researchers in data intensive domains, data stewards, and policy makers. We adhere to the FAIR Principles to make sure that the data, software, workflows, algorithms, and other research outputs we publish are findable, accessible, interoperable, and reusable.BoundarylessGood insights fuel action in all domainsPatterns is the home for data scientists and researchers in data-intensive fields in both academia and industry. The journal shares data science solutions across the spectrum of disciplines, including computational, physical, life, and social sciences, and the humanities.ConstructiveGood decisions need good dataPatterns publishes ground-breaking data science research that is both theoretical and practical. We ensure that the research reported in our articles is quality controlled through rigorous, cross-domain peer-review.Patterns brings together research from across domains in academia and industry to:• Share knowledge about how to best develop and run data science infrastructures, tools, and services• Communicate solutions and best practices for data science algorithms and methodologies• Discuss the human and environmental impact of decisions made using data science• Develop new cross-disciplinary methods for efficient data analysis, processing, archiving, and usePatterns publishes original research in data science, particularly focusing on solutions to the cross-disciplinary problems that all researchers face when dealing with data, and articles about datasets, software code, algorithms, infrastructures, etc., with permanent links to these research outputs. Patterns also promotes cross-community conversation by publishing opinion pieces and review articles.Patterns is committed to the high-quality publishing values shown by its sister journals in Cell Press. Patterns will publish top-tier original research and provide a fair, rapid, and rigorous peer-review process via a dedicated team of professional editors, supported by the expertise of our scientific advisory board.
期刊官网
https://www.cell.com/patterns/home
投稿网址
https://www.editorialmanager.com/patterns
通讯方式
出版商
出版周期
语言
创刊时间
所属国家/地区
涉及的研究方向
是否OA
Yes
PubMed Central链接
http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2666-3899%5BISSN%5D
SCI期刊收录coverage
中国科学院《国际期刊预警名单(试行)》名单
2025年03月发布的2025版:不在预警名单中
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
2020年12月发布的2020版:不在预警名单中
2025年中国科学院期刊分区
大类学科 | 小类学科 | Top期刊 | 综述期刊 |
---|---|---|---|
计算机科学2区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE计算机:人工智能2区 COMPUTER SCIENCE, INFORMATION SYSTEMS计算机:信息系统2区 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS计算机:跨学科应用2区 | 否 | 否 |
Cite Score
Cite Score | SJR | SNIP | 排名 | ||||||
---|---|---|---|---|---|---|---|---|---|
14.60 | 1.527 | 2.063 |
|
历年JCR分区
[["2018-2019年度", "2019-2020年度", "2020-2021年度", "2021-2022年度", "2022-2023年度", "2023-2024年度"], [0, 0, 0, 0, 0, 2]]
历年影响因子
[["2015-2016年度","2016-2017年度","2017-2018年度","2018-2019年度","2019-2020年度","2020-2021年度","2021-2022年度","2022-2023年度","2023-2024年度","2024-2025年度"],[0,0,0,0,0,0,0,6.5,6.7,7.4]]
历年自引率
[["2015-2016年度","2016-2017年度","2017-2018年度","2018-2019年度","2019-2020年度","2020-2021年度","2021-2022年度","2022-2023年度","2023-2024年度","2024-2025年度"],[0,0,0,0,0,0,0,4.6,3,1.4]]
历年文章数量
[["2014-2015年度","2015-2016年度","2016-2017年度","2017-2018年度","2018-2019年度","2019-2020年度","2020-2021年度","2021-2022年度","2022-2023年度","2023-2024年度","2024-2025年度"],[0,0,0,0,0,0,0,116,142,115,95]]