Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio Method
The research landscape of personalized 3D-printed concrete-based modules for construction and their impact on thermal performance through generative design methods is explored through a bibliometric analysis. Comprehensive analysis techniques, including bibliographic data and visualization with VoSv...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/14/3/802 |
| _version_ | 1797241718990438400 |
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| author | Tássia Latorraca Ana Sofia Guimarães Bárbara Rangel |
| author_facet | Tássia Latorraca Ana Sofia Guimarães Bárbara Rangel |
| author_sort | Tássia Latorraca |
| collection | DOAJ |
| description | The research landscape of personalized 3D-printed concrete-based modules for construction and their impact on thermal performance through generative design methods is explored through a bibliometric analysis. Comprehensive analysis techniques, including bibliographic data and visualization with VoSviewer, are employed to unveil collaborative networks, influential articles, research trends, and emerging themes within this domain. Global contributions are showcased, with citations predominantly from the UK and USA, while Denmark and Australia demonstrate a significant impact relative to publication numbers. Prominent authors like Buswell, Mechtcherine, and Zhang are highlighted through co-authorship analysis, revealing evolving collaborative patterns over time. Seminal works and influential authors are identified through co-citation analysis, providing insights into intellectual networks. Source citation analysis emphasizes the importance of sustainability and advanced manufacturing methods through key journals in the field. Keyword co-occurrence analysis identifies the core themes, including 3D concrete printing, additive manufacturing, and sustainability. Emerging trends indicate a growing focus on sustainability and adopting advanced manufacturing technologies. These insights have implications for future research, guiding impactful contributions in this evolving field. |
| first_indexed | 2024-04-24T18:27:47Z |
| format | Article |
| id | doaj.art-46b05124cd2f4a8d8b33d8d76a6e1d3d |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-04-24T18:27:47Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-46b05124cd2f4a8d8b33d8d76a6e1d3d2024-03-27T13:29:34ZengMDPI AGBuildings2075-53092024-03-0114380210.3390/buildings14030802Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio MethodTássia Latorraca0Ana Sofia Guimarães1Bárbara Rangel2FEUP—Civil Engineering Department, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, PortugalCONSTRUCT—LFC, Civil Engineering Department, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, PortugalFaculty of Architecture (FAUP), Center for Studies in Architecture and Urbanism (CEAU), University of Porto, 4200-465 Porto, PortugalThe research landscape of personalized 3D-printed concrete-based modules for construction and their impact on thermal performance through generative design methods is explored through a bibliometric analysis. Comprehensive analysis techniques, including bibliographic data and visualization with VoSviewer, are employed to unveil collaborative networks, influential articles, research trends, and emerging themes within this domain. Global contributions are showcased, with citations predominantly from the UK and USA, while Denmark and Australia demonstrate a significant impact relative to publication numbers. Prominent authors like Buswell, Mechtcherine, and Zhang are highlighted through co-authorship analysis, revealing evolving collaborative patterns over time. Seminal works and influential authors are identified through co-citation analysis, providing insights into intellectual networks. Source citation analysis emphasizes the importance of sustainability and advanced manufacturing methods through key journals in the field. Keyword co-occurrence analysis identifies the core themes, including 3D concrete printing, additive manufacturing, and sustainability. Emerging trends indicate a growing focus on sustainability and adopting advanced manufacturing technologies. These insights have implications for future research, guiding impactful contributions in this evolving field.https://www.mdpi.com/2075-5309/14/3/802bibliometric analysis3DCP (3D concrete printing)3D printingadditive manufacturingscientific collaborationVoSviewer |
| spellingShingle | Tássia Latorraca Ana Sofia Guimarães Bárbara Rangel Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio Method Buildings bibliometric analysis 3DCP (3D concrete printing) 3D printing additive manufacturing scientific collaboration VoSviewer |
| title | Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio Method |
| title_full | Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio Method |
| title_fullStr | Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio Method |
| title_full_unstemmed | Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio Method |
| title_short | Bibliometric Analysis of Personalized 3D-Printed Concrete-Based Modules for Construction: Leveraging the Ordinatio Method |
| title_sort | bibliometric analysis of personalized 3d printed concrete based modules for construction leveraging the ordinatio method |
| topic | bibliometric analysis 3DCP (3D concrete printing) 3D printing additive manufacturing scientific collaboration VoSviewer |
| url | https://www.mdpi.com/2075-5309/14/3/802 |
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