International Journal of Intelligent Information Technologies

Aims & Scope

The advent of the World Wide Web has sparked renewed interest in the area of intelligent information technologies.

There is a growing interest in developing intelligent technologies that enable users to accomplish complex tasks in web-centric environments with relative ease, utilizing such technologies as intelligent agents, distributed computing in heterogeneous environments, and computer supported collaborative work.

The mission of the International Journal of Intelligent Information Technologies (IJIIT) is to bring together researchers in related fields such as information systems, distributed AI, intelligent agents, and collaborative work, to explore and discuss various aspects of design and development of intelligent technologies.

This journal provides a forum for academics and practitioners to explore research issues related to not only the design, implementation and deployment of intelligent systems and technologies, but also economic issues and organizational impact.

Papers related to all aspects of intelligent systems including theoretical work on agent and multi-agent systems as well as case studies offering insights into agent-based problem solving with empirical or simulation based evidence are welcome.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.6
2024	0.60

Journal Rank

Year	Value
2024	21960

Journal Citation Indicator

Year	Value
2024	64

SJR (SCImago Journal Rank)

Year	Value
2024	0.188

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	21

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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 and Decision Sciences, 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.

• Incremental Load in a Data Warehousing Environment

  Citation: 90

  Authors: Nayem

• A Conceptual Security Framework for Cloud Computing Issues

  Citation: 62

  Authors: Shadi A., Muneer O. Bani

• Agile Workflow Technology and Case-Based Change Reuse for Long-Term Processes

  Citation: 55

  Authors: Mirjam, Alexander, Daniel

• Lexical Co-Occurrence and Contextual Window-Based Approach with Semantic Similarity for Query Expansion

  Citation: 52

  Authors: Jagendra, Rakesh

• Knowledge-Based Recommendation Systems

  Citation: 49

  Authors: Sarah, Ivan, Stéphane, Caroline

• Classifying Consumer Comparison Opinions to Uncover Product Strengths and Weaknesses

  Citation: 33

  Authors: Kaiquan S. J., Wei, Jimmy, Jin S. Y., Long, Stephen

• Higher-Order Mobile Agents for Controlling Intelligent Robots

  Citation: 31

  Authors: Yasushi, Munehiro

• A Comparative Analysis of the Integration of SOA Elements in Widely-Used Enterprise Architecture Frameworks

  Citation: 31

  Authors: Ayed, Erwin, Axel, Michael

• Wireless Sensor Node Placement Using Hybrid Genetic Programming and Genetic Algorithms

  Citation: 30

  Authors: Arpit, Pulkit, Aditya, Rahul

• Sociomateriality Implications of Multi-Agent Supported Collaborative Work Systems

  Citation: 29

  Authors: Tagelsir Mohamed

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