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Computer-aided Civil and Infrastructure Engineering - John Wiley & Sons | 2024 Impact Factor:9.1 | Cite Score:17.4 | Q1

Computer-aided Civil and Infrastructure Engineering Journal - John Wiley & Sons - Impact Factor

Impact Factor and Journal Rank of Computer-aided Civil and Infrastructure Engineering

  • About: Computer-Aided Civil and Infrastructure Engineering (CACAIE) is a prestigious peer-reviewed journal dedicated to the advancement of computer-aided methodologies and their applications in the civil and infrastructure engineering domains. The journal is published by Wiley and is recognized for its contribution to the development and application of computational tools, techniques, and methodologies that enhance the planning, design, construction, maintenance, and management of civil and infrastructure projects.
  • Content: Detailed studies presenting new theories, methodologies, and empirical findings in computer-aided civil and infrastructure engineering. Comprehensive surveys and reviews summarizing the current state-of-the-art, emerging trends, and future directions in specific areas of the field. Shorter reports on novel techniques, preliminary results, or innovative ideas that contribute to the advancement of computer-aided methods in civil engineering.
  • Interdisciplinary Approach: The journal embraces an interdisciplinary approach, integrating insights and methodologies from fields such as civil engineering, computer science, environmental engineering, and urban planning to address complex engineering challenges.
  • High Standards and Impact: Computer-Aided Civil and Infrastructure Engineering maintains rigorous standards of quality through a thorough peer-review process conducted by experts in the field. It is recognized for its high impact and influence, with articles frequently cited by researchers and practitioners.
  • Global Reach: The journal attracts contributions from researchers and institutions worldwide, ensuring a diverse range of topics, methodologies, and perspectives that make it a valuable resource for the global engineering community.
  • Significance: It is a leading journal that plays a crucial role in advancing research, informing practice, guiding policy, and promoting collaboration in the field of civil and infrastructure engineering. Its comprehensive coverage and high-quality content make it an indispensable resource for the global community of researchers, practitioners, and educators in computational civil engineering.

  • Editor-in-Chief:  Hojjat Adeli

  • Scope: The journal Computer-Aided Civil and Infrastructure Engineering (CACAIE) focuses on publishing advanced research and development in the field of civil and infrastructure engineering.
  • Its scope includes, but is not limited to, the following areas:
  • Computational Methods and Techniques: Development and application of computational methods, algorithms, and techniques to solve complex problems in civil and infrastructure engineering.
  • Modeling and Simulation: Innovative modeling and simulation techniques for analyzing and designing infrastructure systems, including buildings, bridges, roads, and urban infrastructure.
  • Information Technology Applications: Utilization of IT solutions such as geographic information systems (GIS), building information modeling (BIM), and other software tools in civil engineering projects.
  • Automation and Robotics: Application of automation, robotics, and artificial intelligence in construction, maintenance, and management of infrastructure.
  • Data Analytics and Machine Learning: Use of data analytics, machine learning, and artificial intelligence to enhance decision-making processes, predict structural performance, and optimize infrastructure management.
  • Smart Infrastructure and Cities: Development of smart infrastructure systems and cities, including IoT applications, smart sensors, and intelligent transportation systems.
  • Sustainable Engineering Practices: Research on sustainable design, construction, and maintenance practices that reduce environmental impact and promote resilience in infrastructure.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  0885-9507

    Electronic ISSN:  1467-8667

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

  • Imapct Factor 2024:  9.1

  • Subject Area and Category:  Computer Sciences, Civil Engineering, Mathematics

  • Publication Frequency:  Monthly

  • H Index:  119

  • Best Quartile:

    Q1:  Civil and Structural Engineering

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  17.4

  • SNIP:  

  • Journal Rank(SJR):  3.012