Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/69922
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorLi, Xen_US
dc.creatorWu, Pen_US
dc.creatorShen, GQPen_US
dc.creatorWang, XYen_US
dc.creatorTeng, Yen_US
dc.date.accessioned2017-11-08T03:32:07Z-
dc.date.available2017-11-08T03:32:07Z-
dc.identifier.issn0926-5805en_US
dc.identifier.urihttp://hdl.handle.net/10397/69922-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2017 Elsevier B.V. All rights reserved.en_US
dc.rights© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Li, X., Wu, P., Shen, G. Q., Wang, X. Y., & Teng, Y. (2017). Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach. Automation in Construction, 84, 195-206 is available at https://dx.doi.org/10.1016/j.autcon.2017.09.011en_US
dc.subjectBuilding Information Modeling (BIM)en_US
dc.subjectBibliometricsen_US
dc.subjectLiterature reviewen_US
dc.subjectKnowledge mapen_US
dc.titleMapping the knowledge domains of Building Information Modeling (BIM) : a bibliometric approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage195en_US
dc.identifier.epage206en_US
dc.identifier.volume84en_US
dc.identifier.doi10.1016/j.autcon.2017.09.011en_US
dcterms.abstractBuilding 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAutomation in construction, Dec, 2017, v. 84, p. 195-206en_US
dcterms.isPartOfAutomation in constructionen_US
dcterms.issued2017-12-
dc.identifier.isiWOS:000413607600017-
dc.identifier.scopus2-s2.0-85029503871-
dc.identifier.eissn1872-7891en_US
dc.identifier.rosgroupid2017003149-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journalen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0135-n02en_US
dc.description.pubStatusPublisheden_US
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