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
- Journal Impact Factor
- 0.4 (2023)
- 5-year Journal Impact Factor
- 0.4 (2023)
- Downloads
- 47,264 (2023)
Societies and partnerships
Latest articles
Journal information
- Electronic ISSN
- 1934-8118
- Print ISSN
- 0147-6882
- Abstracted and indexed in
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- ACM Digital Library
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Dimensions
- EBSCO
- EI Compendex
- Emerging Sources Citation Index
- Google Scholar
- INIS Atomindex
- INSPEC
- Japanese Science and Technology Agency (JST)
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Copyright information