Journal of Database Management

Aims & Scope

The Journal of Database Management (JDM) publishes original research on all aspects of database management, design science, systems analysis and design, and software engineering.

The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information technology, information systems, and management of knowledge resources.

The journal is targeted at both academic researchers and practicing IT professionals.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	17460

Journal Citation Indicator

Year	Value
2024	96

Impact Factor

Year	Value
2024	1.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.276

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	37

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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.

• Artificial Intelligence (AI) Ethics

  Citation: 344

  Authors: Keng, Weiyu

• Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity

  Citation: 312

  Authors: Weiyu, Keng

• Mobile Commerce

  Citation: 211

  Authors: Keng, Ee-Peng, Zixing

• ONTOMETRIC

  Citation: 204

  Authors: Adolfo, Asunción

• Agile Modeling, Agile Software Development, and Extreme Programming

  Citation: 179

  Authors: John, Kalle, Keng

• Assumptions Underlying Agile Software-Development Processes

  Citation: 114

  Authors: Daniel, Bernhard

• 3-D Virtual Worlds in Education

  Citation: 108

  Authors: Brenda, Fiona Fui-Hoon, Keng

• Unified Modeling Language

  Citation: 94

  Authors: Keng, Qing

• Semantic Association Identification and Knowledge Discovery for National Security Applications

  Citation: 93

  Authors: Amit, Boanerges, I. Budak, Clemens, Yashodhan, Cartic, Chris, Kemafar, David, F. Sena, Krys

• Artificial Intelligence, Machine Learning, and Autonomous Technologies in Mining Industry

  Citation: 93

  Authors: Zeshan, Keng, Fiona

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