Open AccessSCAN TO BIM: a systematic literature review network analysis
Author(s) -
Samuel Adeniyi Adekunle,
Clinton Aigbavboa,
Obuks Ejohwomu
Publication year - 2022
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1218/1/012057
Subject(s) - building information modeling , systematic review , computer science , scopus , data science , engineering , knowledge management , operations management , medline , political science , law , scheduling (production processes)
Building information modelling (BIM) has transformed the AEC industry tremen-dously, and its adoption has been reported to be high due to the immense latent benefits. One of the inherent benefits of BIM is information management and the ability to integrate with other technologies to achieve this has become the gap being explored by researchers. Laser scanning technology is one of the technologies integrated with BIM. This is done to achieve BIM compliance of pre-BIM edifices. In recent years, substantial research has been conducted on the integration of BIM and laser scanning technologies. This study performed a state of the art review of these research efforts using Systematic literature review network analysis (SNLA) (this is a combination of systematic literature review (SLR) and citation network analysis (CNA). The objective of the study is to identify research trends and gaps for further research. The coverage of this study is from 2007 to 2020. Data was sourced from the Scopus database of published research works and analysed using network analysis. The study identified the publication trends, research trends among others. The study identified quality control and the integration of photogrammetry as the hot topics in this space. This study provides researchers with an insight into the scan to BIM research globally.