The Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies (JIIS) focuses on the integration of artificial intelligence and database technologies to create next generation information systems - Intelligent Information Systems.
JIIS provides a forum wherein academics, researchers and practitioners may publish high-quality, original and state-of-the-art papers describing theoretical aspects, systems architectures, analysis and design tools and techniques, and implementation experiences in intelligent information systems. Articles published in JIIS include: research papers, invited papers, meeting, workshop and conference announcements and reports, survey and tutorial articles, and book reviews.
Topics include foundations and principles of data, information, and knowledge models; methodologies for IIS analysis, design, implementation, validation, maintenance and evolution, and more.
- Covers the integration of artificial intelligence and database technologies to create next generation Intelligent Information Systems
- Presents papers describing theoretical aspects, systems architecture, analysis and design tools and techniques, and implementation experiences in intelligent information systems
- Includes research papers, invited papers, meeting, workshop and conference announcements and reports, survey and tutorial articles, and book reviews
- 91% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again
Journal information
- Editor-in-Chief
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- Zbigniew Ras
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 1.813 (2019)
- Impact factor
- 1.778 (2019)
- Five year impact factor
- 47 days
- Submission to first decision
- 178 days
- Submission to acceptance
- 106,716 (2020)
- Downloads
Latest issue
Latest articles
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LDA-based term profiles for expert finding in a political setting
Authors (first, second and last of 4)
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Journal updates
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Recognizing Editorial Excellence
The Journal of Intelligent Information Systems was graded in the top percentage of all Springer journals in 2020 thanks to the efforts of its Editor-in-Chief, Dr. Zbigniew Ras.
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COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
About this journal
- Electronic ISSN
- 1573-7675
- Print ISSN
- 0925-9902
- Abstracted and indexed in
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- ACM Digital Library
- ANVUR
- Australian Business Deans Council (ABDC) Journal Quality List
- CNKI
- Current Contents/Engineering, Computing and Technology
- DBLP
- Dimensions
- EBSCO Applied Science & Technology Source
- EBSCO Computer Science Index
- EBSCO Computers & Applied Sciences Complete
- EBSCO Discovery Service
- EBSCO Engineering Source
- EBSCO STM Source
- EI Compendex
- Google Scholar
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- ProQuest ABI/INFORM
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Business Premium Collection
- ProQuest Central
- ProQuest Computer Science
- ProQuest Computer and Information Systems Abstracts
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- Science Citation Index Expanded (SciSearch)
- TD Net Discovery Service
- UGC-CARE List (India)
- WTI Frankfurt eG
- Copyright information
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© Springer Science+Business Media, LLC, part of Springer Nature