Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
Patterns
ISSN / eISSN
2666-3899 / 2666-3899
Aims and 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.
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.
Subject Area
N/A
CiteScore
6.10
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Decision Sciences - General Decision Sciences | Q2 | #12/40 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| - | - |
| Category (Journal Citation Reports 2023) | Quartile |
|---|---|
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - ESCI | N/A |
| COMPUTER SCIENCE, INFORMATION SYSTEMS - ESCI | N/A |
| COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - ESCI | N/A |
Country/Area of Publication
UNITED STATES OF AMERICA
Publisher
CELL PRESS
Publication Frequency
Monthly
Year Publication Started
2020
Annual Article Volume
142
Open Access
YES
Contact
CELL PRESS, 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, USA, MA, 02139
Verified Reviews
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