TY - JOUR
T1 - Mapping the knowledge domains of Building Information Modeling (BIM)
T2 - A bibliometric approach
AU - Li, Xiao
AU - Wu, Peng
AU - Shen, Geoffrey Qiping
AU - Wang, Xiangyu
AU - Teng, Yue
N1 - Funding Information:
This research was undertaken with the benefit of a grant from the Ministry of Science and Technology of the People's Republic of China , The Thirteenth Five-Year National Key Research Projects (Project No. 2016YFC0702005-04 ).
Publisher Copyright:
© 2017
PY - 2017/12
Y1 - 2017/12
N2 - 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.
AB - 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.
KW - Bibliometrics
KW - Building Information Modeling (BIM)
KW - Knowledge map
KW - Literature review
UR - http://www.scopus.com/inward/record.url?scp=85029503871&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2017.09.011
DO - 10.1016/j.autcon.2017.09.011
M3 - Review article
AN - SCOPUS:85029503871
SN - 0926-5805
VL - 84
SP - 195
EP - 206
JO - Automation in Construction
JF - Automation in Construction
ER -