期刊档案
Patterns
— · ISSN 2666-3899 · Decision Sciences-Decision Sciences (all)
数据可追溯 · letpub-v6 · 更新于 2026-08-25期刊简介
研究范围与定位
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.
结构化分区
学科分区明细
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。
《新锐期刊分区表》( 2026年3月发布)
2026-03 · 4 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 2区 |
| 小类 | 计算机:人工智能COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 2区 |
| 小类 | 计算机:信息系统COMPUTER SCIENCE, INFORMATION SYSTEMS | 2区 |
| 小类 | 计算机:跨学科应用COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | 3区 |
期刊分区表( 2025年3月升级版)
2025-03 · 4 个学科记录
| 类别 | 学科 | 分区 |
|---|---|---|
| 大类 | 计算机科学 | 2区 |
| 小类 | 计算机:人工智能COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | 2区 |
| 小类 | 计算机:信息系统COMPUTER SCIENCE, INFORMATION SYSTEMS | 2区 |
| 小类 | 计算机:跨学科应用COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | 2区 |
期刊分区表( 2023年12月旧的升级版)
2023-12 · 未被该版本收录
该期刊未被此版本分区表收录。
期刊档案
出版与身份
- 期刊ISSN
- 2666-3899
- 是否OA开放访问
- Yes
- 通讯方式
- CELL PRESS, 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, USA, MA, 02139
- 出版商
- CELL PRESS
- 出版国家或地区
- UNITED STATES OF AMERICA
- 出版语言
- English
- 出版周期
- Monthly
- 出版年份
- 2020
期刊档案
研究范围
- 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.
- 涉及的研究方向
- Decision Sciences-Decision Sciences (all)
期刊档案
指标与活跃度
- 2025-2026最新IF(数据来源于网友提供)
- 注册或登录后,查看IF
- 2025-2026自引率
- 1.9%点击查看自引率趋势图
- 五年IF(数据来源于网友提供)
- 10.103数据由网友[orange_valley]收集提供
- h-index
- 暂无h-index数据
- CiteScore ( 2026年6月最新版)
- CiteScoreSJRSNIPCiteScore排名18.002.0662.752学科分区排名百分位大类:Multidisciplinary小类:MultidisciplinaryQ110 / 223
- 年文章数
- 90点击查看年文章数趋势图
- Gold OA文章占比
- 100.00%
- 研究类文章占比:文章 ÷(文章 + 综述)
- 73.33%
期刊档案
分区、收录与风险
- WOS期刊JCR分区 ( 2025-2026年最新版)
- 注册或登录后,查看WOS分区等级
- 期刊分区表预警名单
- 2026年03月发布的新锐学术版:不在预警名单中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
- SCI期刊收录coverage
- Emerging Sources Citation Index (ESCI)Scopus (CiteScore)Directory of Open Access Journals (DOAJ)
- PubMed Central (PMC)链接
- 访问官方页面 ↗
期刊档案
投稿与评审
来源与统计口径
来源:LetPub 原始详情页 ↗。投稿经验仅展示聚合统计,不公开第三方正文或用户标识。当前聚合样本:暂无。