The journal provides an international forum for the publication of theory, algorithms, analysis and experiments across the broad area of information retrieval. Topics of interest include search, indexing, analysis, and evaluation for applications such as the web, social and streaming media, recommender systems, and text archives. This includes research on human factors in search, bridging artificial intelligence and information retrieval, and domain-specific search applications.

The Information Retrieval Journal features theoretical, experimental, analytical and applied articles. Theoretical articles report a significant conceptual advance in the design of algorithms or other processes for some information retrieval task. Experimental articles detail a test of one or more theoretical ideas in a laboratory or natural setting. Analytical articles report on the results of detailed analysis of searcher behavior and opinions across a range of settings and methodologies, including user studies, surveys and log analysis. Application articles cover successful application of some already established technique to a significant real-world problem involving information retrieval.

Information retrieval overlaps with a variety of technical and behavioral fields. As a result, the journal includes articles which unify concepts across several traditional disciplinary boundaries, with specific application to problems of information retrieval.

Journal information

Editors-in-Chief
  • Leif Azzopardi,
  • Ruihua Song,
  • Vanessa Murdock
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

2.209 (2019)
Impact factor
2.190 (2019)
Five year impact factor
57 days
Submission to first decision
313 days
Submission to acceptance
50,953 (2020)
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Latest articles

  1. Authors (first, second and last of 4)

    • Joemon M. Jose
    • Emine Yilmaz
    • Pablo Castells
    • Content type: Guest Editorial : Special Issue on ECIR 2020
    • Pages: 1 - 2
This journal has 30 open access articles

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About this journal

Electronic ISSN
1573-7659
Print ISSN
1386-4564
Abstracted and indexed in
  1. ACM Digital Library
  2. ANVUR
  3. Australian Business Deans Council (ABDC) Journal Quality List
  4. CNKI
  5. DBLP
  6. Dimensions
  7. EBSCO Applied Science & Technology Source
  8. EBSCO Computers & Applied Sciences Complete
  9. EBSCO Discovery Service
  10. EBSCO Engineering Source
  11. EBSCO Information Science & Technology Abstracts (ISTA)
  12. EBSCO Library, Information Science & Technology Abstracts (LISTA)
  13. EBSCO STM Source
  14. EBSCO Science & Technology Collection
  15. Google Scholar
  16. INSPEC
  17. Institute of Scientific and Technical Information of China
  18. Japanese Science and Technology Agency (JST)
  19. Journal Citation Reports/Science Edition
  20. Naver
  21. OCLC WorldCat Discovery Service
  22. ProQuest ABI/INFORM
  23. ProQuest Advanced Technologies & Aerospace Database
  24. ProQuest Business Premium Collection
  25. ProQuest Central
  26. ProQuest Computer Science
  27. ProQuest Computer and Information Systems Abstracts
  28. ProQuest Pharma Collection
  29. ProQuest SciTech Premium Collection
  30. ProQuest Science Database
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  32. ProQuest-ExLibris Primo
  33. ProQuest-ExLibris Summon
  34. SCImago
  35. SCOPUS
  36. Science Citation Index Expanded (SciSearch)
  37. TD Net Discovery Service
  38. UGC-CARE List (India)
  39. WTI Frankfurt eG
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