Automation in ConstructionJournal Home
Automation in Construction is an international journal for the publication of original research papers. The journal publishes refereed material on all aspects pertaining to the use of Information Technologies in Design, Engineering, Construction Technologies, and Maintenance and Management of Constructed Facilities. The scope of Automation in Construction is broad, encompassing all stages of the construction life cycle from initial planning and design, through construction of the facility, its operation and maintenance, to the eventual dismantling and recycling of buildings and engineering structures. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal's purview: • Computer-aided design, product modeling, decision support systems, classification and standardization, product data interchange • Computer-aided engineering, process simulation models, graphics • Robotics, metrology, logistics, automated inspection, demolition/remediation • Facilities management, management information systems, intelligent control systems. This journal is supported by the following organisations: - Education in Computer Aided Architectural Design in Europe (eCAADe) - International Association for Automation and Robotics in Construction (IAARC) - International Council for Research and Innovation in Building and Construction (C.I.B.)
Publishing Model:Hybrid OA
ISSN:0926-5805
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EISSN:1872-7891
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Publication Frequency:Seven times a year
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Last updated on  01 Nov 2026 / Current volume: 声䟕声 / Current issue:
More Details
Journal Disciplines
Highway Transportation
Architectural Science
Information Science
Open Access Information
Publication FEEs
APCs: 5420 (USD)
This journal publishes articles under the following open access license
OA License: CC BYCC BY-NCCC BY-NC-ND
Peer-Review
Single-blind Peer Review
Author's Copyright Notice
Author's Rights:--
Journal Metrics

Impact Factor

Journal Impact Factor(JIF) 2024
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Journal Citation Indicator(JCI) 2024
声.躭篫
Web of Science Rank 2024:
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# 声/声躭杚
99.73%
Q1
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# 鋺/䟕逦
96.32%
Q1

CiteScore Metrics

CiteScore 2024
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  鋺杚缗声逦 Citation (2022-2024)
  缗蔡炆鋺 Article (2022-2024)
CiteScore Rank 2024
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# 杚/鋺蔡篫
99.26%
Q1
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# 鋺/缗杚䟕
98.33%
Q1
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# 篫/杚篫逦
98.13%
Q1
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