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M. Reza Hosseini

Researcher at Deakin University

Publications -  167
Citations -  5178

M. Reza Hosseini is an academic researcher from Deakin University. The author has contributed to research in topics: Building information modeling & Sustainability. The author has an hindex of 30, co-authored 143 publications receiving 2887 citations. Previous affiliations of M. Reza Hosseini include University of South Australia.

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Critical evaluation of off-site construction research: a scientometric analysis

TL;DR: In this article, a bibliometric study was conducted to explore the state of off-site construction research, and a quantitative approach using "science mapping" techniques was employed to examine 501 top-ranked construction journal articles.
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Critical success factors (CSFs) for integration of sustainability into construction project management practices in developing countries

TL;DR: In this article, critical success factors (CSFs) affecting integration of sustainability into project management practices of construction projects in developing countries were identified through a comprehensive review of literature and presented in form of a conceptual model.
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Collaboration in BIM-based construction networks: A bibliometric-qualitative literature review

TL;DR: In this paper, a "Collaboration Pentagon" consisting of context, process, task, team and actor is created through integration of relevant frameworks, and a bibliometric analysis of 1031 studies on BIM alongside the outcome of a qualitative evaluation of a total of 62 carefully selected papers on collaboration in BbCNs is presented.
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Artificial intelligence in the AEC industry : scientometric analysis and visualization of research activities

TL;DR: The first comprehensive scientometric study appraising the state of research on AI-in-the-AECI is presented, indicating that genetic algorithms, neural networks, fuzzy logic, fuzzy sets, and machine learning have been the most widely used AI methods in AEC.
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Integrated project delivery with blockchain: An automated financial system

TL;DR: This study is the first to develop a framework proposing blockchain technology utilisation in IPD projects, which would enable core project team members to automatically execute all financial transactions, through coding the three main transactions of I PD projects: reimbursed costs, profit and cost saving, as functions of the IPD smart contract.