Foundations and Trends in Information Retrieval

Aims & Scope

Foundations and Trends® in Information Retrieval publishes survey and tutorial articles on the following topics: Applications of IR Architectures for IR Collaborative filtering and recommender systems Cross-lingual and multilingual IR Distributed IR and federated search Evaluation issues and test collections for IR Formal models and language models for IR IR on mobile platforms Indexing and retrieval of structured documents Information categorization and clustering Information extraction Information filtering and routing Metasearch, rank aggregation and data fusion Natural language processing for IR Performance issues for IR systems, including algorithms, data structures, optimization techniques, and scalability Question answering Summarization of single documents, multiple documents, and corpora Text mining Topic detection and tracking Usability, interactivity, and visualization issues in IR User modelling and user studies for IR Web search.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	12.9
2024	8.30

Journal Rank

Year	Value
2024	2286

Journal Citation Indicator

Year	Value
2024	138

SJR (SCImago Journal Rank)

Year	Value
2024	1.535

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	40

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Opinion Mining and Sentiment Analysis

  Citation: 5309

  Authors: Bo, Lillian

• The Probabilistic Relevance Framework: BM25 and Beyond

  Citation: 1697

  Authors: Stephen, Hugo

• Learning to Rank for Information Retrieval

  Citation: 1333

  Authors: Tie-Yan

• Explainable Recommendation: A Survey and New Perspectives

  Citation: 506

  Authors: Yongfeng, Xu

• Authorship Attribution

  Citation: 377

  Authors: Patrick

• LifeLogging: Personal Big Data

  Citation: 320

  Authors: Cathal, Alan F., Aiden R.

• Methods for Evaluating Interactive Information Retrieval Systems with Users

  Citation: 272

  Authors: Diane

• Test Collection Based Evaluation of Information Retrieval Systems

  Citation: 264

  Authors: Mark

• Automatic Summarization

  Citation: 238

  Authors: Ani

• Concept-Based Video Retrieval

  Citation: 231

  Authors: Cees G. M., Marcel

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