Advanced Engineering Informatics

Aims & Scope

Advanced computing methods and related technologies are changing the way engineers interact with the information infrastructure.

Explicit knowledge representation formalisms and new reasoning techniques are no longer the sole territory of computer science.

For knowledge-intensive tasks in engineering, a new philosophy and body of knowledge called Engineering Informatics is emerging.

Advanced Engineering Informatics solicits research papers with particular emphases both on 'knowledge' and 'engineering applications'.

As an international Journal, original papers typically: • Report progress in the engineering discipline of applying methods of engineering informatics. • Have engineering relevance and help provide the scientific base to make engineering decision-making more reliable, spontaneous and creative. • Contain novel research that demonstrates the science of supporting knowledge-intensive engineering tasks. • Validate the generality, power and scalability of new methods through vigorous evaluation, preferably both qualitatively and quantitatively.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	9.9

Journal Rank

Year	Value
2024	1444

Journal Citation Indicator

Year	Value
2024	10777

SJR (SCImago Journal Rank)

Year	Value
2024	1.993

Quartile

Year	Value
2024	Q1

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Comparison among five evolutionary-based optimization algorithms

  Citation: 958

  Authors: Emad, Tarek, Donald

• A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

  Citation: 831

  Authors: Christian, Kristina, Varun, Burcu, Paul

• Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

  Citation: 713

  Authors: Carlos A., Efrén

• Big Data in the construction industry: A review of present status, opportunities, and future trends

  Citation: 547

  Authors: Muhammad, Lukumon O., Junaid, Kamran, Saheed O., Olugbenga O., Hakeem A., Hafiz A., Maruf

• Ant colony optimization techniques for the vehicle routing problem

  Citation: 507

  Authors: John E., Patrick R.

• Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model

  Citation: 480

  Authors: Shohin, Xun, Ray Y., Yuqian

• Pothole detection in asphalt pavement images

  Citation: 464

  Authors: Christian, Ioannis

• Computer vision techniques for construction safety and health monitoring

  Citation: 443

  Authors: JoonOh, SangUk, SangHyun, Hyoungkwan

• Applications of agent-based systems in intelligent manufacturing: An updated review

  Citation: 412

  Authors: Weiming, Qi, Hyun Joong, Douglas H.

• Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification

  Citation: 375

  Authors: Chen, Zhenya, Bo

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