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Patterns


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 11 Review(s)  

 Open Access      SCIE      Official Website     Submission Website
 

*Average Peer Review
19 Weeks
*Competitiveness
CiteScore
18

CiteScore Rank
Subject Area Rank Percentile
Category: Multidisciplinary
Subcategory: Multidisciplinary
10 / 223



Country/Area of Publication
UNITED STATES OF AMERICA
Publication Frequency
Monthly
Publisher
CELL PRESS

ISSN
2666-3899
E-ISSN
2666-3899
Year Publication Started
2020

Self-citation (2025-2026)
1.90%
Annual Article Volume
90
Gold OA Percentage
100.00%


Open Access Info
APC APC Waiver Other Charges
Yes: Check details
( USD8900; )
Yes: Check detailsNo

Journal Aim & Scope
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.


Web of Science Quartiles
WOS Quartile: Q1

Quartiles By JIFCollectionQuartileRankPercentage
Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEESCIQ120/210
Category: COMPUTER SCIENCE, INFORMATION SYSTEMSESCIQ18/266
Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONSESCIQ115/185
Quartiles By JCICollectionQuartileRankPercentage
Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEESCIQ130/210
Category: COMPUTER SCIENCE, INFORMATION SYSTEMSESCIQ135/266
Category: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONSESCIQ132/185
*Crowdsourced data
  • Journals In The Same Subject Area
  • CiteScore Trends
  • Self Citation Trends
  • Annual Article Volume Trends
  • Journal Title h-index CiteScore
    Decision Science Letters02.90
    International Journal of Mathematics in Operational Research02.30
    International Journal of the Analytic Hierarchy Process02.30
    International Journal of Management and Decision Making01.80
  • Patterns Patterns
    Predict CiteScore Trend:
    Steady Increase No Change Gradual Decline  Refresh
 
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