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CAD Computer Aided Design - Elsevier | 2024 Impact Factor:3.1 | Cite Score:6.1 | Q1

CAD Computer Aided Design Journal

Impact Factor and Journal Rank of CAD Computer Aided Design

  • About: Objective:
    CAD Computer Aided Design Journal aims to publish high-quality research articles and advancements in the field of computer-aided design (CAD). The journal provides a platform for the dissemination of innovative research and development in CAD and related technologies, facilitating the exchange of knowledge among researchers, practitioners, and educators.
  • Publication Focus:
    CAD Algorithms and Techniques: Research on the development and enhancement of algorithms and techniques for computer-aided design, including geometric modeling, simulation, and optimization. Design Automation: Studies that explore automated design processes and tools that improve efficiency, accuracy, and productivity in various design disciplines. Visualization and Graphics: Advances in visualization techniques and graphical representations that aid in the design and analysis of complex systems. Human-Computer Interaction: Research on user interfaces, interaction methods, and usability studies that enhance the effectiveness and user experience of CAD systems. Interdisciplinary Applications: Papers that demonstrate the application of CAD in various fields such as architecture, engineering, manufacturing, and product design.
  • Research Areas:
    Geometric and Solid Modeling: Advances in the representation, manipulation, and analysis of geometric shapes and solid models. Simulation and Analysis: Research on simulation methods and analysis techniques that integrate with CAD systems to predict performance and behavior. Design Optimization: Studies on optimization methods and algorithms that enhance the design process and improve design outcomes. Collaborative Design: Exploration of collaborative tools and environments that support teamwork and communication in the design process. Additive Manufacturing: Research on the integration of CAD with additive manufacturing technologies and techniques. AI and Machine Learning in CAD: Application of artificial intelligence and machine learning techniques to automate and improve the design process.
  • Contributions:
    CAD Computer Aided Design Journal invites original research articles, review papers, technical notes, and case studies that contribute to the advancement of CAD technologies. The journal encourages submissions that provide new insights, propose innovative methods, or demonstrate practical applications of CAD in solving complex design problems.
  • Conclusion:
    CAD Computer Aided Design Journal serves as an essential resource for researchers, practitioners, and educators in the field of computer-aided design. By promoting the exchange of knowledge and fostering collaboration, the journal aims to drive the continuous evolution of CAD technologies and their applications in various design disciplines.

  • Editor-in-Chief:  V. Shapiro

  • Scope: Computer-aided design methodologies
  • Geometric modeling
  • Computational geometry
  • CAD data structures and algorithms
  • Design optimization
  • Product lifecycle management
  • CAD in manufacturing
  • Simulation and analysis in CAD
  • Visualization and virtual reality in CAD
  • Collaborative and distributed design
  • Human-computer interaction in CAD
  • CAD standards and interoperability
  • Applications of CAD in various industries
  • Advances in CAD software and tools
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  00104485

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  3.1

  • Subject Area and Category:   Computer Science, Computer Graphics and Computer-Aided Design, Computer Science Applications, Engineering, Industrial and Manufacturing Engineering

  • Publication Frequency:  

  • H Index:  133

  • Best Quartile:

    Q1:  Industrial and Manufacturing Engineering

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  6.1

  • SNIP:  1.392

  • Journal Rank(SJR):  0.766