SIGMOD Record

Aims & Scope

SIGMOD investigates the development and application of database technology to support the full range of data management needs.

The scope of interests and members is wide with an almost equal mix of people from industryand academia.

SIGMOD sponsors an annual conference that is regarded as one of the most important in the field, particularly for practitioners.

Areas of Special Interest: Active and temporal data management, data mining and models, database programming languages, databases on the WWW, distributed data management, engineering, federated multi-database and mobile management, query processing & optimization, rapid application development tools, spatial data management, user interfaces.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.3

SJR (SCImago Journal Rank)

Year	Value
2024	0.692

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	149

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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.

• Mining association rules between sets of items in large databases

  Citation: 3696

  Authors: Rakesh, Tomasz, Arun

• LOF

  Citation: 2296

  Authors: Markus M., Hans-Peter, Raymond T., Jörg

• BIRCH

  Citation: 1887

  Authors: Tian, Raghu, Miron

• OPTICS

  Citation: 1848

  Authors: Mihael, Markus M., Hans-Peter, Jörg

• Mining frequent patterns without candidate generation

  Citation: 1701

  Authors: Jiawei, Jian, Yiwen

• R-trees

  Citation: 1512

  Authors: Antonin

• An overview of data warehousing and OLAP technology

  Citation: 1362

  Authors: Surajit, Umeshwar

• The R*-tree: an efficient and robust access method for points and rectangles

  Citation: 1090

  Authors: Norbert, Hans-Peter, Ralf, Bernhard

• Scalable SQL and NoSQL data stores

  Citation: 880

  Authors: Rick

• The cougar approach to in-network query processing in sensor networks

  Citation: 879

  Authors: Yong, Johannes

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