VOOZH about

URL: https://link.springer.com/journal/11984?error=cookies_not_supported&code=b2577304-4573-4638-be9c-00e00e799487

⇱ Home | Scientific and Technical Information Processing | Springer Nature Link

Skip to main content

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
  • Igor A. Sheremet

Societies and partnerships

Journal metrics

Journal Impact Factor
0.4 (2024)
5-year Journal Impact Factor
0.5 (2024)
Downloads
21.6k (2025)

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. Ovid Discovery
  18. Portico
  19. ProQuest
  20. SCImago
  21. SCOPUS
  22. TD Net Discovery Service
  23. Wanfang
  24. eLibrary.ru
© Allerton Press, Inc.

Journal navigation