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International Journal of Intelligent Information Technologies - IGI | 2024 Impact Factor: 0.6 | Cite Score:2.3 | Q4

International Journal of Intelligent Information Technologies With Cite Score

Cite Score and Journal Rank of International Journal of Intelligent Information Technologies

  • About: The International Journal of Intelligent Information Technologies publishes original research articles, reviews, and case studies on topics related to intelligent information technologies. Areas of interest include artificial intelligence, machine learning, data mining, knowledge management, intelligent systems design, and applications of these technologies in various domains. The journal aims to advance both theoretical understanding and practical implementations in intelligent information technologies.
  • Objective
    The primary objective of IJIIT is to promote research and development in the field of intelligent information technologies by providing a platform for high-quality research and scholarly communication. The journal seeks to facilitate the exchange of ideas and innovations that enhance the design, development, and application of intelligent information systems and technologies.
  • Interdisciplinary Approach
    International Journal of Intelligent Information Technologies embraces an interdisciplinary approach, recognizing that advancements in intelligent information technologies often involve integrating insights from fields such as computer science, artificial intelligence, data science, and information systems. The journal encourages contributions that blend these diverse perspectives to address complex challenges and develop innovative solutions.
  • Impact and Significance
    The journal has a significant impact on the intelligent information technologies community by offering a valuable resource for researchers, practitioners, and industry professionals. Its influence is reflected in its ability to shape research agendas, drive technological advancements, and enhance practices in intelligent information systems and technologies.

  • Editor-in-Chief:  Vijayan Sugumaran 

  • Scope: The International Journal of Intelligent Information Technologies (IJIIT) focuses on the application of intelligent technologies in managing and processing information. It covers a wide range of topics related to intelligent systems, information technologies, and their integration in various domains.
  • Intelligent Information Systems:
    Design and development of intelligent information systems
    Techniques for enhancing system intelligence through machine learning
    Applications of artificial intelligence in information systems
    Intelligent data processing and automated decision-making
    Integration of AI technologies with traditional information systems
  • Data Management and Analytics:
    Methods for intelligent data management and storage
    Data mining and pattern recognition techniques
    Analytics tools for deriving insights from large data sets
    Intelligent algorithms for data classification and clustering
    Real-world applications of data analytics in various industries
  • Information Retrieval and Knowledge Management:
    Techniques for intelligent information retrieval and search
    Knowledge management strategies and systems
    Development of knowledge-based systems and expert systems
    Semantic search and natural language processing
    Applications of information retrieval technologies in different fields
  • Smart Technologies and Applications:
    Applications of smart technologies in information systems
    Development of smart tools and applications for information management
    Impact of IoT and smart devices on information technologies
    Case studies of successful smart technology implementations
    Innovations in smart technology for enhancing information systems
  • Future Directions and Research Opportunities:
    Emerging trends in intelligent information technologies
    Predictions for future developments and technological advancements
    Research challenges and opportunities in the field
    Integration of new technologies with existing information systems
    Directions for future research and development in intelligent information technologies
  • Latest Research Topics for PhD in Machine Learning
  • Latest Research Topics for PhD in Data Mining

  • Print ISSN:  1548-3657

    Electronic ISSN:  1548-3665

  • Abstracting and Indexing:  Scopus, Emerging Sources Citation Index (ESCI)

  • Imapct Factor 2024:  0.6

  • Subject Area and Category:  Computer Science,Information Systems,Decision Sciences,Decision Sciences (miscellaneous)

  • Publication Frequency:  Quarterly

  • H Index:  21

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Decision Sciences (miscellaneous)

  • Cite Score:  2.3

  • SNIP:  0.246

  • Journal Rank(SJR):  0.188