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Overview

Scientific and Technical Information Processing is a peer-reviewed journal focusing on the management and use of information technology in libraries, archives, and other parts of the information industry.

  • Emphasis is on practical applications of new technologies and techniques for information analysis and processing.
  • Welcomes articles on applications of AI and ML, big data analytics, cloud computing, semantic web and linked data research, advanced visualization of data, quantum computing, and natural language processing.
  • As part of its aim to become an international publication, the journal welcomes submissions in English from all countries.

Editor-in-Chief
  • Ruggero S. Gilyarevskii
Impact factor
0.7 (2022)
5 year impact factor
0.5 (2022)
Downloads
47,264 (2023)

Latest articles

Journal information

Electronic ISSN
1934-8118
Print ISSN
0147-6882
Abstracted and indexed in
  1. ACM Digital Library
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. Dimensions
  7. EBSCO
  8. EI Compendex
  9. Emerging Sources Citation Index
  10. Google Scholar
  11. INIS Atomindex
  12. INSPEC
  13. Japanese Science and Technology Agency (JST)
  14. Naver
  15. Norwegian Register for Scientific Journals and Series
  16. OCLC WorldCat Discovery Service
  17. Portico
  18. ProQuest
  19. SCImago
  20. SCOPUS
  21. TD Net Discovery Service
  22. UGC-CARE List (India)
  23. Wanfang
Copyright information

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© Allerton Press, Inc.

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