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International Journal of Computer Science in Sport | 2024 Cite Score:2.4 | Q3

International Journal of Computer Science in Sport With Cite Score

Cite Score and Journal Rank of International Journal of Computer Science in Sport

  • About: The International Journal of Computer Science in Sport (IJCSS) is a peer-reviewed academic journal dedicated to publishing high-quality research articles, reviews, and case studies at the intersection of computer science and sports. The journal focuses on the application of computational methods and technologies to enhance the understanding, performance, and management of sports and physical activities. IJCSS provides a platform for researchers, practitioners, and educators to share their findings and advancements in the field of sports science and technology.
  • Objective:
    The primary objective of the International Journal of Computer Science in Sport is to disseminate innovative research and advancements that apply computer science techniques to sports science. The journal seeks to foster the exchange of ideas and knowledge among researchers, practitioners, and educators to address current and emerging challenges in sports technology. IJCSS aims to contribute to the development of new computational methods, algorithms, and software tools that improve the analysis, performance, and management of sports and physical activities.
  • Interdisciplinary Approach:
    International Journal of Computer Science in Sport adopts an interdisciplinary approach by integrating research from computer science, sports science, engineering, biomechanics, data analytics, and related disciplines. This approach ensures a comprehensive exploration of topics, considering both theoretical foundations and practical applications. The journal encourages contributions that combine insights from multiple fields to address complex issues in sports science and technology.
  • Impact:
    The journal has a significant impact on the research community by providing a platform for the publication of innovative research and practical solutions in computer science applied to sports. IJCSS is widely cited by researchers and practitioners interested in the latest advancements in these fields. The research published in the journal informs the development of new computational methods, algorithms, and software tools that enhance the analysis, performance, and management of sports and physical activities.
  • Significance:
    International Journal of Computer Science in Sport plays a crucial role in advancing the fields of computer science and sports science by promoting the dissemination of pioneering research and practical solutions. Its focus on both theoretical and practical aspects makes it an essential resource for researchers, practitioners, and educators. By facilitating the exchange of knowledge and ideas, IJCSS supports the continued innovation and enhancement of computational methods and tools for sports science and technology, ultimately contributing to improved sports performance and management.

  • Editor-in-Chief:  Baca Arnold

  • Scope: The International Journal of Computer Science in Sport focuses on the application of computer science and technology to sports science. Its scope includes, but is not limited to:
  • Sports Analytics: Research on the use of data analysis and statistical methods to evaluate and enhance sports performance, strategy, and decision-making.
  • Motion Analysis: Studies on the use of computer vision and image processing techniques to analyze and improve athletic movements and biomechanics.
  • Performance Monitoring: Contributions on the development and application of wearable technology and sensors for monitoring athletes performance and physiological parameters.
  • Simulation and Modeling: Research on the use of computational models to simulate sports scenarios, predict outcomes, and optimize training and performance strategies.
  • Injury Prevention and Rehabilitation: Studies on the use of computer-based tools and algorithms to prevent sports injuries and support rehabilitation processes.
  • Sports Equipment and Technology: Contributions on the design, development, and evaluation of sports equipment and technologies, including their impact on performance and safety.
  • eSports and Virtual Sports: Research on the computational aspects of electronic sports (eSports) and virtual sports, including game design, performance analysis, and player behavior.
  • Sports Informatics: Studies on the management and analysis of sports-related data, including databases, information systems, and big data applications in sports.
  • Artificial Intelligence in Sports: Contributions on the use of AI and machine learning techniques to enhance various aspects of sports, including performance prediction, talent identification, and game strategy.
  • Training and Coaching Systems: Research on the development and application of computer-based systems and software to support training and coaching in sports.
  • Sports Psychology and Cognition: Studies on the use of computer-based tools to assess and enhance cognitive and psychological aspects of sports performance.
  • Biomechanics and Kinesiology: Contributions on the computational analysis of human movement, biomechanics, and kinesiology in the context of sports.
  • Health and Fitness Technology: Research on the development and application of technology to promote health, fitness, and wellness in athletes and the general population.
  • Sports Management and Administration: Studies on the use of information technology and computer systems to support sports management, administration, and logistics.
  • Sports Education and Training: Contributions on the use of computer-based tools and methods in sports education, training programs, and curricula.
  • Interactive and Immersive Technologies: Research on the application of virtual reality (VR), augmented reality (AR), and other immersive technologies in sports training, performance analysis, and fan engagement.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  16844769

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computer Science (miscellaneous), Engineering, Biomedical Engineering

  • Publication Frequency:  

  • H Index:  16

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Biomedical Engineering

    Q4:  

  • Cite Score:  2.4

  • SNIP:  0.392

  • Journal Rank(SJR):  0.279