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International Journal of Information Technology & Decision Making - World Scientific | 2024 Impact Factor:1.8 | Cite Score:6.5 | Q2

International Journal of Information Technology & Decision Making

Impact Factor and Journal Rank of International Journal of Information Technology & Decision Making

  • About: The International Journal of Information Technology & Decision Making (IJITDM) is a prestigious journal that publishes high-quality research articles, review papers, and case studies in the field of information technology and decision making. The journal aims to provide a comprehensive platform for the dissemination of innovative research that addresses critical issues and challenges in IT and decision-making processes.
  • Publication Types:
    Research Articles: In-depth studies presenting original research findings in information technology and decision making.
    Review Papers: Comprehensive reviews that synthesize current knowledge and recent advancements in IT and decision-making processes.
    Case Studies: Reports on the application of IT and decision-making methodologies in real-world scenarios, providing practical insights and lessons learned.
  • Impact and Contribution:
    The International Journal of Information Technology & Decision Making serves as an essential resource for researchers, practitioners, and policymakers in the fields of information technology and decision making. By publishing cutting-edge research and practical case studies, the journal aims to advance the development and application of IT solutions that enhance decision-making processes. For more information on submission guidelines and access to published articles, please visit the official IJITDM page on the World Scientific website.
  • Latest Research Topics for PhD in Computer Science

  • Editor-in-Chief:  Yong Shi

  • Scope: Decision Support Systems: Research on the design, implementation, and evaluation of decision support systems that aid in decision-making processes in various domains.
  • Artificial Intelligence and Machine Learning: Studies on the application of AI and machine learning techniques to enhance decision-making and problem-solving capabilities.
  • Big Data Analytics: Research on methodologies and tools for analyzing large volumes of data to extract meaningful insights and support decision making.
  • Information Systems Management: Studies on the management of information systems, including strategies for optimizing IT infrastructure and ensuring data security.
  • Operations Research: Research on the application of operations research techniques to optimize decision-making processes in areas such as logistics, supply chain management, and production planning.
  • Business Intelligence: Studies on the use of business intelligence tools and techniques to support strategic decision making and improve organizational performance.
  • Human-Computer Interaction: Research on the design and evaluation of user interfaces and interaction techniques to enhance the usability and effectiveness of decision support systems.
  • Cybersecurity and Risk Management: Studies on methodologies and tools for assessing and mitigating risks in information systems to ensure secure and reliable decision making.

  • Print ISSN:  0219-6220

    Electronic ISSN:  1793-6845

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2024:  1.8

  • Subject Area and Category:  Computer Sciences

  • Publication Frequency:  Bimonthly

  • H Index:  57

  • Best Quartile:

    Q1:  

    Q2:  Computer Science (miscellaneous)

    Q3:  

    Q4:  

  • Cite Score:  6.5

  • SNIP:  0.796

  • Journal Rank(SJR):  0.478