Journal of Intelligent Information Systems

Aims & Scope

The mission of the Journal of Intelligent Information Systems: Integrating Artifical Intelligence and Database Technologies is to foster and present research and development results focused on the integration of artificial intelligence and database technologies to create next generation information systems - Intelligent Information Systems.

These new information systems embody knowledge that allows them to exhibit intelligent behavior, cooperate with users and other systems in problem solving, discovery, access, retrieval and manipulation of a wide variety of multimedia data and knowledge, and reason under uncertainty.

Increasingly, knowledge-directed inference processes are being used to: discover knowledge from large data collections, provide cooperative support to users in complex query formulation and refinement, access, retrieve, store and manage large collections of multimedia data and knowledge, integrate information from multiple heterogeneous data and knowledge sources, and reason about information under uncertain conditions.

Multimedia and hypermedia information systems now operate on a global scale over the Internet, and new tools and techniques are needed to manage these dynamic and evolving information spaces.

The Journal of Intelligent Information Systems provides a forum wherein academics, researchers and practitioners may publish high-quality, original and state-of-the-art papers describing theoretical aspects, systems architectures, analysis and design tools and techniques, and implementation experiences in intelligent information systems.

The categories of papers published by JIIS include: research papers, invited papters, meetings, workshop and conference annoucements and reports, survey and tutorial articles, and book reviews.

Short articles describing open problems or their solutions are also welcome.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.4
2024	2.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.865

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	68

Journal Rank

Year	Value
2024	6059

Journal Citation Indicator

Year	Value
2024	1010

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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.

• On Clustering Validation Techniques

  Citation: 1871

  Authors: Maria, Yannis, Michalis

• Efficient and effective Querying by Image Content

  Citation: 769

  Authors: C., R., M., J., W., D., W.

• “Andromaly”: a behavioral malware detection framework for android devices

  Citation: 526

  Authors: Asaf, Uri, Yuval, Chanan, Yael

• Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control

  Citation: 515

  Authors: Manfred, Peter

• The TSIMMIS Approach to Mediation: Data Models and Languages

  Citation: 419

  Authors: Hector, Yannis, Dallan, Anand, Yehoshua, Jeffrey, Vasilis, Jennifer

• Interval Set Clustering of Web Users with Rough K-Means

  Citation: 406

  Authors: Pawan, Chad

• Time-focused clustering of trajectories of moving objects

  Citation: 308

  Authors: Mirco, Dino

• Using Rough Sets with Heuristics for Feature Selection

  Citation: 236

  Authors: Ning, Juzhen, Setsuo

• Types of minority class examples and their influence on learning classifiers from imbalanced data

  Citation: 235

  Authors: Krystyna, Jerzy

• Semantic E-Workflow Composition

  Citation: 221

  Authors: Jorge, Amit

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