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
影响指标
h-index暂无h-index数据
平均审稿速度网友分享经验:19 Weeks
平均录用比例网友分享经验:

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

Top:否综述:N/A
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 INTELLIGENCE2区
小类计算机:信息系统COMPUTER SCIENCE, INFORMATION SYSTEMS2区
小类计算机:跨学科应用COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS3区

期刊分区表( 2025年3月升级版)

2025-03 · 4 个学科记录

Top:否综述:否
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 INTELLIGENCE2区
小类计算机:信息系统COMPUTER SCIENCE, INFORMATION SYSTEMS2区
小类计算机:跨学科应用COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS2区

期刊分区表( 2023年12月旧的升级版)

2023-12 · 未被该版本收录

Top:N/A综述:N/A

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

期刊官方网站
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期刊投稿网址
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作者指南网址
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平均审稿速度
网友分享经验:19 Weeks
平均录用比例
网友分享经验:

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。