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Overview

Computing and Software for Big Science is dedicated to the publication of high-quality material originating from all current and emerging scientific communities in which experimental research is increasingly based on large-scale research infrastructures. With particle, nuclear and astrophysics as prime examples, the journal welcomes contributions from all areas of fundamental and applied physics where collective international efforts take center stage.  

  • Focuses on research producing large amounts of data generated at the very frontiers of energy, intensity and detector technology.
  • Includes coverage of machine learning and data science.
  • Investigates collaborative efforts regarding both experimental and theoretical challenges.
  • Solicits original research, technical papers, editorials, tutorials, reviews, and community white papers.
     

 

Editor-in-Chief
  • Volker Beckmann,
  • Markus Elsing,
  • Günter Quast
Submission to first decision (median)
4 days
Downloads
117,799 (2023)

Call for papers

View all calls for papers

Latest articles

Journal updates

  • 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. 

  • 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
  1. Astrophysics Data System (ADS)
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. DBLP
  7. Dimensions
  8. EBSCO
  9. Google Scholar
  10. INSPEC
  11. INSPIRE
  12. Japanese Science and Technology Agency (JST)
  13. Naver
  14. OCLC WorldCat Discovery Service
  15. Portico
  16. ProQuest
  17. SCImago
  18. SCOPUS
  19. TD Net Discovery Service
  20. Wanfang
Copyright information

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Editorial policies

© Springer Nature Switzerland AG

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