Mapping the Global Knowledge Domain for Building Information Models

Author:

Zhang Wei1,Zhao Liang2ORCID

Affiliation:

1. Institute of Building Intelligence, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China

2. School of Information and Electronics Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China

Abstract

This paper presents the method and findings of a visual knowledge domain map used to explore the development and evolution of Building information modeling (BIM) technology. Metadata taken from 806 literature records is used to visualize the state of BIM research. The records were published between 1998 and 2017, and Citespace software is employed to visualize key data about the research contained on the Web of Science platform, including nationality of research institutions, research themes, co-citations of periodicals, authorship, literature sources, and the development of the discipline over time. The distribution of power in this field is also examined by interrogating the BIM knowledge base, identifying research hotspots to provide a reference for assessing the current state-of-the-art.

Funder

Jiangsu Province Teaching Reform project

Jiangsu Provincial Department of Housing and Urban Rural Construction Project

China Institute of higher education Project

Jiangsu Education Informationization Research Project

Jiangsu Natural Science Foundation Project

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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