Patterns
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月刊
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期刊基础介绍
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.
Accessible
Good solutions deserve a big audience
Patterns 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.
Boundaryless
Good insights fuel action in all domains
Patterns 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.
Constructive
Good decisions need good data
Patterns 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 use
Patterns 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.
Accessible
Good solutions deserve a big audience
Patterns 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.
Boundaryless
Good insights fuel action in all domains
Patterns 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.
Constructive
Good decisions need good data
Patterns 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 use
Patterns 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.
期刊核心参数
通讯方式
CELL PRESS, 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, USA, MA, 02139
涉及的研究方向
Decision Sciences-Decision Sciences (all)
出版国家或地区
UNITED STATES OF AMERICA
出版语言
English
年文章数
95
PubMed Central (PMC)链接
CITESCORE
CiteScore SJR SNIP CiteScore排名 14.60 1.527 2.063 学科 分区 排名 百分位 大类:Decision Sciences 小类:General Decision Sciences Q1 4 / 42 91%WOS期刊JCR分区
WOS分区等级:1区| 按JIF指标学科分区 | 收录子集 | JIF分区 | JIF排名 | JIF百分位 |
| 学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ESCI | Q1 | 29/204 |
|
| 学科:COMPUTER SCIENCE, INFORMATION SYSTEMS | ESCI | Q1 | 19/258 |
|
| 学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ESCI | Q1 | 20/175 |
|
| 按JCI指标学科分区 | 收录子集 | JCI分区 | JCI排名 | JCI百分位 |
| 学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ESCI | Q1 | 36/204 |
|
| 学科:COMPUTER SCIENCE, INFORMATION SYSTEMS | ESCI | Q1 | 48/258 |
|
| 学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ESCI | Q1 | 40/175 |
|
期刊分区表预警名单
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
中科院2025年3月升级版
点击查看中国科学院期刊分区趋势图| 大类学科 | 小类学科 | Top期刊 | 综述期刊 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 计算机科学 2区 |
| 否 | 否 |