Lemaire, Clément, Rivest, Louis, Boton, Conrad, Danjou, Christophe, Braesch, Christian et Nyffenegger, Felix.
2019.
« Analyzing BIM topics and clusters through ten years of scientific publications ».
Journal of Information Technology in Construction, vol. 24.
pp. 273-298.
Compte des citations dans Scopus : 14.
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Résumé
There has been considerable interest in Building Information Modeling (BIM) research and development during the last decade. BIM has established itself as a field of research in (and beyond) scientific communities interested in information technologies in construction. Interestingly, the contours of BIM as a scientific field are still not clearly identified. Several studies have recently tried to analyze different aspects of this issue, without providing a systematic and comprehensive methodological approach to accurately define the major themes and clusters of the BIM domain. This paper uses a systematic literature review approach to map the BIM research themes and clusters over ten years of scientific publications. 1244 articles published in peer-reviewed journals between 2007 and 2016 were selected and the associated metadata analyzed in order to highlight co-occurrences in author’s keywords. It appears that a few “big players” dominate the keywords, while most of the keywords used by authors are much less cited. Seven core clusters are identified using modularity optimization techniques: industry foundation classes, information technology, facility management, building, collaboration, computer aided design, and laser scanning.
| Type de document: | Article publié dans une revue, révisé par les pairs |
|---|---|
| Chercheur(-euse): | Chercheur(-euse) Rivest, Louis Boton, Conrad |
| Affiliation: | Génie des systèmes, Génie de la construction |
| Date de dépôt: | 20 juin 2019 15:56 |
| Dernière modification: | 07 sept. 2024 18:11 |
| URI: | https://espace2.etsmtl.ca/id/eprint/18894 |
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