Advanced Engineering Informatics - Impact Factor

Advanced Engineering Informatics - Elsevier | 2024 Impact Factor:9.9 | Cite Score:13.1 | Q1

Advanced Engineering Informatics Journal

Impact Factor and Journal Rank of Advanced Engineering Informatics

About: Advanced Engineering Informatics is a leading peer-reviewed journal that focuses on the intersection of engineering and informatics. It aims to promote the innovative application of informatics in various engineering disciplines, enhancing the efficiency, reliability, and performance of engineering processes and systems. The journal publishes high-quality research articles that provide significant contributions to the field, including theoretical, methodological, and practical advancements.
Content Types: Research Articles: In-depth research papers presenting novel methodologies, algorithms, and applications in engineering informatics. Review Articles: Comprehensive reviews that synthesize existing literature, highlight current trends, and identify future research directions in specific areas of engineering informatics. Case Studies: Practical case studies that demonstrate the application of informatics solutions in real-world engineering projects, providing insights and lessons learned.
High Standards and Impact: Peer-Reviewed: The journal employs a rigorous peer-review process to ensure the quality, validity, and relevance of published research. Citation Impact: Articles published in Advanced Engineering Informatics are widely cited, reflecting the journal significant influence and impact in the field. Reputation: Recognized as a leading publication in the field, the journal is known for publishing groundbreaking research and fostering advancements in engineering informatics.
Global Reach: International Contributions: The journal attracts contributions from researchers and practitioners worldwide, offering diverse and global perspectives on engineering informatics. Broad Accessibility: Research articles are accessible through academic libraries, online databases, and digital platforms, ensuring wide dissemination and impact.
Significance: Advanced Engineering Informatics is a prestigious and influential journal that significantly contributes to the advancement of knowledge, innovation, and practice in the intersection of engineering and informatics. Its broad scope, high standards, and global reach make it an essential resource for researchers, practitioners, and policymakers dedicated to improving engineering through informatics.

Journal Home: Journal Homepage

Editor-in-Chief: C.H. Chen

Scope: It publishes high-quality research articles, reviews, and technical notes that advance the theory, methods, and applications of informatics in various engineering disciplines.
The scope of the journal covers a broad range of topics in engineering informatics, including, but not limited to:
Engineering Informatics: Research on the integration of informatics techniques and technologies in engineering processes, including data modeling, simulation, optimization, and decision support systems.
Artificial Intelligence and Machine Learning: Application of AI and machine learning algorithms to solve complex engineering problems, improve predictive maintenance, and optimize system performance.
Big Data Analytics: Utilization of big data analytics to extract valuable insights from large-scale engineering datasets, enhancing design, monitoring, and control of engineering systems.
Cyber-Physical Systems: Studies on the development and implementation of cyber-physical systems that integrate physical processes with computational resources, improving system reliability and performance.
Smart Manufacturing: Research on the application of informatics in smart manufacturing, including automation, robotics, and Industry 4.0 technologies to enhance production efficiency and flexibility.
Building Information Modeling (BIM): Exploration of BIM technologies to improve construction project management, design accuracy, and collaboration among stakeholders.
Internet of Things (IoT): Investigation of IoT applications in engineering, such as sensor networks, real-time data collection, and remote monitoring for enhanced operational efficiency.
Human-Computer Interaction (HCI): Studies on HCI techniques to improve user interfaces and interactions with engineering systems and tools.
Virtual and Augmented Reality: Application of virtual and augmented reality technologies in engineering for simulation, training, and visualization purposes.