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International Journal of Computer Information Systems and Industrial Management Applications - Machine Intelligence Research Labs | 2024 Cite Score:1.5 | Q4

International Journal of Computer Information Systems and Industrial Management Applications With Cite Score

Cite Score and Journal Rank of International Journal of Computer Information Systems and Industrial Management Applications

  • About: The International Journal of Computer Information Systems and Industrial Management Applications is a peer-reviewed journal dedicated to publishing research on computer information systems and their applications in industrial management. The journal focuses on the integration of information technology and industrial management practices to enhance organizational performance and efficiency.
  • Objective
    The journal aims to advance the understanding and application of computer information systems within industrial management contexts. It seeks to provide a platform for high-quality research that addresses challenges, innovations, and solutions in the intersection of IT and industrial management.
  • Topics Covered
    The journal covers a wide range of topics related to computer information systems and industrial management, including: Design and implementation of information systems Industrial management and operations Enterprise resource planning (ERP) systems Business process management Data analysis and decision support systems Supply chain management and logistics IT project management System integration and architecture Risk management in information systems Emerging technologies and their impact on industrial management
  • Interdisciplinary Approach
    The journal encourages an interdisciplinary approach by combining insights from computer science, information systems, industrial engineering, and management. This approach helps address complex issues at the intersection of technology and management, fostering innovative solutions and practices.
  • Impact and Significance
    The International Journal of Computer Information Systems and Industrial Management Applications is significant for its role in bridging the gap between information technology and industrial management. It provides valuable research findings that can enhance organizational efficiency, decision-making, and strategic planning through advanced information systems.
  • Submission and Review Process
    The journal follows a stringent peer-review process to ensure the quality and relevance of submitted papers. Each submission is evaluated based on its originality, technical rigor, practical implications, and contribution to the field. The review process helps maintain high standards of research quality and integrity.

  • Editor-in-Chief:  Azah Kamilah Muda

  • Scope: International Journal of Computer Information Systems and Industrial Management Applications focuses on research and developments in the areas of computer information systems and their applications in industrial management. The journal aims to bridge the gap between computer science and industrial management by publishing high-quality research that advances both fields.
  • Computer Information Systems:
    Information Systems Design: Research on the design, development, and implementation of information systems, including software engineering and system architecture.
  • Database Management: Studies on database systems, including data storage, retrieval, and management techniques.
  • Information Security: Exploration of security measures and protocols for protecting information systems from threats and vulnerabilities.
  • Data Analytics: Research on data mining, analytics, and visualization techniques for deriving insights from large datasets.
  • Industrial Management Applications:
    Enterprise Resource Planning (ERP): Studies on ERP systems and their integration with business processes and management practices.
  • Supply Chain Management: Research on the application of information systems in optimizing supply chain operations and logistics.
  • Manufacturing Systems: Exploration of information systems in manufacturing environments, including automation, process control, and production management.
  • Project Management: Studies on the use of information systems for managing projects, including planning, execution, and monitoring.
  • Emerging Technologies:
    Artificial Intelligence and Machine Learning: Research on the integration of AI and ML with information systems for enhanced decision-making and automation.
  • Internet of Things (IoT): Studies on IoT applications in industrial management, including data collection, monitoring, and control.
  • Cloud Computing: Exploration of cloud-based solutions for scalable and flexible information system management.
  • Systems Integration:
    Integration Techniques: Research on methods for integrating various information systems and technologies within an organization.
  • Interoperability: Studies on achieving interoperability between different systems and platforms.
  • System Optimization: Exploration of techniques for optimizing the performance and efficiency of information systems.
  • Case Studies and Applications:
    Industrial Applications: Detailed case studies showcasing successful implementations of information systems in industrial settings.
  • Best Practices: Research on best practices and methodologies for applying information systems in various industrial management contexts.
  • Interdisciplinary Research:
    Collaborative Approaches: Studies involving collaboration between computer scientists, industrial engineers, and management professionals.
  • Innovative Solutions: Research on novel solutions and technologies that address challenges in both information systems and industrial management.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  21507988

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Business, Management and Accounting, Management Information Systems, Strategy and Management, Computer Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing

  • Publication Frequency:  

  • H Index:  13

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Computer Networks and Communications

  • Cite Score:  1.5

  • SNIP:  0.352

  • Journal Rank(SJR):  0.197