JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Scope & Guideline

Exploring New Frontiers in Civil Engineering with Computer Science.

Introduction

Welcome to your portal for understanding JOURNAL OF COMPUTING IN CIVIL ENGINEERING, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0887-3801
PublisherASCE-AMER SOC CIVIL ENGINEERS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1987 to 2024
AbbreviationJ COMPUT CIVIL ENG / J. Comput. Civil. Eng.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1801 ALEXANDER BELL DR, RESTON, VA 20191-4400

Aims and Scopes

The Journal of Computing in Civil Engineering focuses on the integration of advanced computational techniques and technologies in the field of civil engineering. It publishes high-quality research that explores innovative methodologies, tools, and applications aimed at addressing contemporary challenges in construction and infrastructure management.
  1. Machine Learning and Artificial Intelligence Applications:
    Research related to the use of machine learning and AI in various civil engineering domains, such as construction project management, structural health monitoring, and predictive modeling.
  2. Digital Twin and BIM Technologies:
    Exploration of digital twin technologies and Building Information Modeling (BIM) for enhanced project visualization, management, and collaboration in civil engineering.
  3. Robotics and Automation in Construction:
    Studies focusing on the implementation of robotic systems and automation technologies to improve efficiency, safety, and precision in construction processes.
  4. Data-Driven Decision Making:
    Research emphasizing the use of big data analytics, simulation, and modeling to support informed decision-making in civil engineering practices.
  5. Sustainability and Environmental Impact Assessments:
    Investigations into sustainable practices, environmental assessments, and the impact of civil engineering projects on ecosystems and communities.
  6. Smart Infrastructure and IoT Integration:
    Studies on the integration of Internet of Things (IoT) technologies into infrastructure projects for real-time monitoring, maintenance, and management.
The Journal of Computing in Civil Engineering is witnessing an increase in research themes that reflect current trends and emerging technologies in the field. These themes are critical as they address the evolving challenges and opportunities in civil engineering.
  1. Advanced Machine Learning Techniques:
    There is a notable increase in the application of advanced machine learning techniques, including deep learning and neural networks, for predictive analytics and problem-solving in civil engineering.
  2. Integration of Robotics and AI in Construction:
    The trend towards robotics and AI integration in construction processes is rising, focusing on autonomous systems, robotic inspections, and human-robot collaboration.
  3. Resilience and Adaptation Strategies in Infrastructure:
    Emerging research themes focus on resilience and adaptation strategies to enhance infrastructure's ability to withstand environmental challenges and disasters.
  4. Interdisciplinary Approaches to Civil Engineering Problems:
    An emerging trend is the adoption of interdisciplinary approaches that combine insights from computer science, engineering, environmental science, and social sciences to tackle complex civil engineering issues.
  5. Real-Time Data Utilization and Smart Monitoring Systems:
    Research is increasingly focusing on real-time data utilization through IoT devices and smart monitoring systems for proactive management of civil infrastructure.

Declining or Waning

As the field of civil engineering evolves, certain themes within the Journal of Computing in Civil Engineering appear to be losing prominence. This decline may reflect shifts in research focus or emerging technologies that overshadow previous topics.
  1. Traditional Structural Analysis Methods:
    Research focusing on conventional structural analysis techniques is becoming less prevalent, as more innovative computational methods and tools gain traction.
  2. Basic CAD Techniques:
    The emphasis on traditional Computer-Aided Design (CAD) techniques is waning, as more sophisticated modeling approaches like BIM and parametric design take precedence.
  3. Manual Inspection and Monitoring Techniques:
    Studies involving manual inspection methods are decreasing, with a shift toward automated and sensor-based monitoring systems for infrastructure assessment.
  4. Static Environmental Impact Assessments:
    Traditional static assessments are being replaced by dynamic, real-time monitoring approaches that leverage digital technologies and data analytics.

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