Show simple item record

dc.contributor.authorLi, X.
dc.contributor.authorWu, Peng
dc.contributor.authorShen, G.
dc.contributor.authorWang, Xiangyu
dc.contributor.authorTeng, Y.
dc.identifier.citationLi, X. and Wu, P. and Shen, G. and Wang, X. and Teng, Y. 2017. Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach. Automation in Construction. 84: pp. 195-206.

© 2017 Building Information Modeling (BIM) has been recognized as an emerging technological innovation which can help transform the construction industry and it has been adopted broadly in the field of built environment. Due to the rapid development of BIM research, various stakeholders require a state-of-the-art review of the BIM research and implementation. The purpose of this paper is to provide an objective and accurate summary of BIM knowledge using 1874 published BIM-related papers. The results show that 60 key research areas, such as information systems, 3D modeling, design and sustainability and 10 key research clusters, such as architecture design studio, building information and lean construction, are extremely important for the development of BIM knowledge. The results are useful for the identification of research clusters and topics in the BIM community. More importantly, these results can help highlight how BIM-related research evolves over time, thus greatly contributing to understanding the underlying structure of BIM. This study offers useful and new insights to summarize the status quo of BIM knowledge and can be used as a dynamic platform to integrate future BIM developments.

dc.publisherElsevier BV
dc.titleMapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach
dc.typeJournal Article
dcterms.source.titleAutomation in Construction
curtin.departmentDepartment of Construction Management
curtin.accessStatusFulltext not available

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record