Foundations and Trends in Databases

Aims & Scope

Foundations and Trends® in Databases covers a breadth of topics relating to the management of large volumes of data.

The journal targets the full scope of issues in data management, from theoretical foundations, to languages and modeling, to algorithms, system architecture, and applications.

The list of topics below illustrates some of the intended coverage, though it is by no means exhaustive: Data Models and Query Languages Query Processing and Optimization Storage, Access Methods, and Indexing Transaction Management, Concurrency Control and Recovery Deductive Databases Parallel and Distributed Database Systems Database Design and Tuning Metadata Management Object Management Trigger Processing and Active Databases Data Mining and OLAP Approximate and Interactive Query Processing Data Warehousing Adaptive Query Processing Data Stream Management Search and Query Integration XML and Semi-Structured Data Web Services and Middleware Data Integration and Exchange Private and Secure Data Management Peer-to-Peer, Sensornet and Mobile Data Management Scientific and Spatial Data Management Data Brokering and Publish/Subscribe Data Cleaning and Information Extraction Probabilistic Data Management.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1
2024	2.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.755

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	20

Journal Rank

Year	Value
2024	7320

Journal Citation Indicator

Year	Value
2024	56

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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.

• Information Extraction

  Citation: 418

  Authors: Sunita

• Provenance in Databases: Why, How, and Where

  Citation: 333

  Authors: James, Laura, Wang-Chiew

• Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches

  Citation: 252

  Authors: Graham

• Adaptive Query Processing

  Citation: 189

  Authors: Amol, Zachary, Vijayshankar

• Architecture of a Database System

  Citation: 148

  Authors: Joseph M., Michael, James

• Privacy-Preserving Data Publishing

  Citation: 127

  Authors: Bee-Chung, Daniel, Kristen, Ashwin

• Modern B-Tree Techniques

  Citation: 112

  Authors: Goetz

• The Design and Implementation of Modern Column-Oriented Database Systems

  Citation: 106

  Authors: Daniel

• Trends in Cleaning Relational Data: Consistency and Deduplication

  Citation: 101

  Authors: Ihab F., Xu

• Big Graph Analytics Platforms

  Citation: 71

  Authors: Da, Yingyi, Yuanyuan, Amol

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