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
- 46 days
- Submission to first decision
- 312 days
- Submission to acceptance
- 57,407 (2019)
- Downloads
Latest issue

Latest articles
-
-
Evaluation metrics for measuring bias in search engine results
Authors (first, second and last of 4)
-
Structural textile pattern recognition and processing based on hypergraphs
Authors (first, second and last of 4)
-
-
Improving question answering for event-focused questions in temporal collections of news articles
Authors (first, second and last of 4)
Journal updates
-
-
Special Issues - Call for Papers
We welcome submissions for the upcoming special issues of Information Retrieval Journal
About this journal
- Electronic ISSN
- 1573-7659
- Print ISSN
- 1386-4564
- Abstracted and indexed in
-
- ACM Digital Library
- ANVUR
- Australian Business Deans Council (ABDC) Journal Quality List
- CNKI
- DBLP
- Dimensions
- EBSCO Applied Science & Technology Source
- EBSCO Computers & Applied Sciences Complete
- EBSCO Discovery Service
- EBSCO Engineering Source
- EBSCO Information Science & Technology Abstracts (ISTA)
- EBSCO Library, Information Science & Technology Abstracts (LISTA)
- EBSCO STM Source
- EBSCO Science & Technology Collection
- Google Scholar
- Highbeam
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Naver
- 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 Pharma Collection
- ProQuest SciTech Premium Collection
- ProQuest Science Database
- 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