Information Systems

SJR Rank #5,045H-index: 103SJR: 0.981Best quartile: Q1APC: US$3,410
Journal website: aims, scope and author guidelines
Publisher

Elsevier Ltd

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Hardware and ArchitectureQ1
  • Information SystemsQ1
  • SoftwareQ1

Areas: Computer Science

Most published research topics

Advanced Database Systems and QueriesData Management and AlgorithmsSemantic Web and OntologiesLegal and Regulatory AnalysisLinguistic, Cultural, and Literary StudiesMilitary Technology and StrategiesBusiness Process Modeling and AnalysisService-Oriented Architecture and Web ServicesData Quality and ManagementDistributed systems and fault tolerance

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs085170255340

Documents per Year

2022202503570105140

Detailed Information

ISSN

0306-4379

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

5.73

References per Document

50.38

Coverage

1975-2026

Scope

Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application.

Metrics from SCImago Journal Rank 2025. View on SCImago