Overview
Computing and Software for Big Science is dedicated to large-scale, collaborative computing and software development for various scientific domains.
- Focuses on developments in particle, astroparticle, and nuclear physics.
- Includes coverage of distributed data analysis and deep learning algorithms.
- Investigates physics event generation, detector simulation, and computing infrastructures.
- Solicits research articles, reviews, advanced tutorials, and documentation papers.
- Editor-in-Chief
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- Volker Beckmann,
- Markus Elsing,
- Günter Quast
- Submission to first decision (median)
- 33 days
- Downloads
- 117,799 (2023)
Latest articles
Journal updates
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Computing and Software for Big Science is now fully open access!
We are excited to announce that Computing and Software for Big Science has now become a fully open access (OA) journal as of January 2023. This means that we are no longer accepting non-OA articles for submission. All new content published in the journal will be published under an open access licence, and freely available to readers worldwide, enabling the widest possible dissemination and reuse.
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Editorial policy on peer-reviewing for guest-edited topical collections
Computing and Software for Big Science welcomes proposals for guest-edited topical collections. Prospective guest editors should be aware that all papers submitted to topical collections will undergo the same peer-reviewing procedure than regular papers, with a final decision taken by the Editor(s)-in-Chief.
Proposals should always be sent to the Editors-in-Chief jointly.
Journal information
- Electronic ISSN
- 2510-2044
- Print ISSN
- 2510-2036
- Abstracted and indexed in
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- Astrophysics Data System (ADS)
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- DBLP
- Dimensions
- EBSCO
- Google Scholar
- INSPEC
- INSPIRE
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- Wanfang
- Copyright information