ADVANCED ENGINEERING INFORMATICS

Scope & Guideline

Advancing Knowledge in AI and Information Systems

Introduction

Welcome to your portal for understanding ADVANCED ENGINEERING INFORMATICS, 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
ISSN1474-0346
PublisherELSEVIER SCI LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2002 to 2024
AbbreviationADV ENG INFORM / Adv. Eng. Inform.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address125 London Wall, London EC2Y 5AS, ENGLAND

Aims and Scopes

The journal "Advanced Engineering Informatics" focuses on the intersection of engineering and informatics, emphasizing the application of advanced computational techniques in engineering disciplines. It aims to foster research that integrates data analysis, artificial intelligence, and informatics to improve engineering processes and systems.
  1. Advanced Computational Methods:
    The journal emphasizes the development and application of advanced computational techniques, including machine learning, deep learning, and data mining, to solve complex engineering problems.
  2. Digital Twin Technologies:
    Research involving digital twin frameworks is a core focus, exploring how digital representations of physical systems can optimize design, monitor performance, and enhance predictive maintenance.
  3. Human-Machine Collaboration:
    The integration of human factors and machine learning in collaborative environments is highlighted, aiming to improve safety, efficiency, and productivity in engineering tasks.
  4. Sustainable Engineering Practices:
    The journal promotes research that addresses sustainability in engineering through innovative design, resource management, and lifecycle analysis.
  5. Smart Manufacturing and Industry 4.0:
    Papers often discuss the implications of Industry 4.0 technologies, including IoT, robotics, and cyber-physical systems, on manufacturing processes and operational efficiency.
  6. Data-Driven Decision Making:
    The application of data analytics for informed decision-making in engineering contexts is a recurring theme, with research focusing on predictive models and optimization techniques.
The journal has seen a surge in specific emerging themes that reflect current technological advancements and societal needs. These topics indicate a shift towards more innovative and interdisciplinary research in engineering informatics.
  1. AI and Machine Learning Innovations:
    A significant increase in papers employing cutting-edge AI methodologies, including generative models and reinforcement learning, showcases the journal's alignment with current technological trends.
  2. Integration of Augmented and Virtual Reality:
    Research integrating AR and VR technologies in engineering applications is on the rise, particularly in training and design processes, highlighting the importance of immersive technologies.
  3. Advanced Data Analytics for Predictive Maintenance:
    There is a growing emphasis on leveraging big data analytics and AI for predictive maintenance solutions, reflecting industry demands for efficiency and reliability.
  4. Cyber-Physical Systems and IoT:
    The emergence of research focusing on cyber-physical systems and the Internet of Things (IoT) indicates a trend towards interconnected systems and smart environments in engineering.
  5. Sustainable and Circular Economy Practices:
    An increasing number of papers addressing sustainability and circular economy principles in engineering design and manufacturing processes demonstrate a shift towards environmentally conscious engineering.

Declining or Waning

While the journal continues to thrive in many areas, some themes have seen a noticeable decline in focus or frequency in recent publications. These waning scopes may reflect shifts in research interests or advancements in technology that have made certain topics less relevant.
  1. Traditional Manufacturing Processes:
    Research specifically focused on conventional manufacturing techniques has decreased, possibly due to the shift towards more automated and intelligent systems.
  2. Manual Inspection Techniques:
    There has been a decline in papers discussing manual inspection methods as the field increasingly adopts automated and AI-driven inspection technologies.
  3. Basic Machine Learning Applications:
    Papers that cover fundamental machine learning applications without advanced methodologies or innovative approaches are less frequently published, indicating a push towards more sophisticated techniques.
  4. Regulatory Compliance in Isolation:
    Research focusing solely on regulatory compliance without integration into broader technological frameworks appears to be waning, as interdisciplinary approaches become more favored.

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