BIM in Construction: A Bibliometric Analysis About BIM and Digital Twin
DOI:
https://doi.org/10.70917/fce-2026-012Keywords:
BIM, digital twin, industry 4.0, industry 5.0, AEC industry, bibliometric reviewAbstract
Even though the integration of BIM and digital twin technologies is still relatively new, it has rapidly become a key research focus due to the urgent need for a technologically advanced and sustainable built environment. This research paper presents a comprehensive bibliometric literature analysis of Building Information Modeling (BIM) and Digital Twins in the construction sector. By exploring a global dataset of 239 publications, the study dives into co-citation, co-authorship, and keyword patterns to pinpoint influential authors, emerging research clusters, and key trends. The findings show a rapid surge in BIM research, peaking in 2023, with international collaborations driven by countries like the United Kingdom, China, and Australia. The thematic clusters emphasize sustainability, Industry 4.0, construction 4.0, and smart city development, highlighting how artificial intelligence, blockchain, and automation are changing construction management. This analysis paper shines a light on future opportunities for seamlessly integrating BIM and Digital Twins into construction and smart infrastructure projects, serving as a strategic roadmap for researchers and practitioners to understand the evolving BIM and Digital Twin research area.
References
Abbasnejad, B., & Moud, H. (2013). BIM and basic challenges associated with its definitions, interpretations and expectations. International Journal of Engineering Research and Applications (IJERA), 3(2), 287–294.
Al-Malkawi, H.-A. N., & Pillai, R. (2013). The impact of financial crisis on UAE real estate and construction sector: Analysis and implications. Humanomics, 29(2), 115–135. https://doi.org/10.1108/08288661311319184
Ametepey, S., Aigbavboa, C., Addy, H., & Thwala, W. D. (2024). A bibliometric review of the trends of construction digitalization research in the past ten years. Buildings, 14(9), 2729. https://doi.org/10.3390/buildings14092729
Ávila, L. V., Facco, A. L. R., Bento, M. H. D. S., Arigony, M. M., Obregon, S. L., & Trevisan, M. (2018). Sustainability and education for sustainability: An analysis of publications from the last decade. Environmental Quality Management, 27(3), 107–118. https://doi.org/10.1002/tqem.21537
Borkowski, A. S. (2023). A literature review of BIM definitions: Narrow and broad views. Preprints.org. https://doi.org/10.20944/preprints202311.0764.v1
Burgess, G. (2019). BIM in the UK house building industry: Opportunities and barriers to adoption. https://doi.org/10.13140/rg.2.2.12962.99521
Chen, Y., Huang, D., Liu, Z., Osmani, M., & Demian, P. (2022). Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for sustainable building development within the smart city. Sustainability, 14(16), 10028. https://doi.org/10.3390/su141610028
Cheng, J. C. P., & Lu, Q. (2015). A review of the efforts and roles of the public sector for BIM adoption worldwide. Journal of Information Technology in Construction. http://www.itcon.org/2015/27
Davidson, M. (2019). Urban social sustainability. https://doi.org/10.4324/9781315115740
Directive 2014/24/EU. (2014). Directive 2014/24/EU of the European Parliament and of the Council of 26 February 2014 on public procurement. https://eur-lex.europa.eu/eli/dir/2014/24/oj/eng
Eischet, O. (2022). BIM adoption across the world: A global outlook.
Hallinger, P. (2019). Science mapping the knowledge base on educational leadership and management from the emerging regions of Asia, Africa and Latin America, 1965–2018. Educational Management Administration & Leadership, 48(2), 209–230. https://doi.org/10.1177/1741143218822772
Hallinger, P., & Chatpinyakoop, C. (2019). A bibliometric review of research on higher education for sustainable development, 1998–2018. Sustainability, 11(8), 2401. https://doi.org/10.3390/su11082401
Hallinger, P., & Kovačević, J. (2019). A bibliometric review of research on educational administration: Science mapping the literature, 1960 to 2018. Review of Educational Research, 89(3), 335–369. https://doi.org/10.3102/0034654319830380
Hudha, M. N., Hamidah, I., Permanasari, A., Abdullah, A. G., Rachman, I., & Matsumoto, T. (2020). Low carbon education: A review and bibliometric analysis. European Journal of Educational Research, 9(1), 319–329. https://doi.org/10.12973/eu-jer.9.1.319
Ji, T., Huang, H., & Xu, X. (2022). Digital twin technology—A bibliometric study of top research articles based on Local Citation Score. Journal of Manufacturing Systems, 64, 390–408. https://doi.org/10.1016/j.jmsy.2022.06.016
Karmakar, A., & Delhi, V. S. K. (2021). Construction 4.0: What we know and where we are headed? Journal of Information Technology in Construction, 26, 526–545. https://doi.org/10.36680/j.itcon.2021.028
Kumar, S. (2015). Co-authorship networks: A review of the literature. Aslib Journal of Information Management, 67(1), 55–73. https://doi.org/10.1108/ajim-09-2014-0116
Li, J., Goerlandt, F., & Reniers, G. (2020). An overview of scientometric mapping for the safety science community: Methods, tools, and framework. Safety Science, 134, 105093. https://doi.org/10.1016/j.ssci.2020.105093
Lu, Q., Parlikad, A. K., Woodall, P., Ranasinghe, G. D., Xie, X., Liang, Z., Konstantinou, E., Heaton, J., & Schooling, J. (2020). Developing a digital twin at building and city levels: Case study of West Cambridge Campus. Journal of Management in Engineering, 36(3). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000763
Malik, K. R., Sam, Y., Hussain, M., & Abuarqoub, A. (2017). A methodology for real-time data sustainability in smart city: Towards inferencing and analytics for big-data. Sustainable Cities and Society, 39, 548–556. https://doi.org/10.1016/j.scs.2017.11.031
Mannino, A., Dejaco, M. C., & Cecconi, F. R. (2021). Building information modelling and Internet of Things integration for facility management—Literature review and future needs. Applied Sciences, 11(7), 3062. https://doi.org/10.3390/app11073062
Mehran, D. (2016). Exploring the adoption of BIM in the UAE construction industry for AEC firms. Procedia Engineering, 145, 1110–1118. https://doi.org/10.1016/j.proeng.2016.04.144
Mohanta, A., & Das, S. (2017). BIM as facilities management tool: A brief review. http://dl.lib.mrt.ac.lk/handle/123/12542
Mokhtari, K. E., Panushev, I., & McArthur, J. J. (2022). Development of a cognitive digital twin for building management and operations. Frontiers in Built Environment, 8. https://doi.org/10.3389/fbuil.2022.856873
National BIM Standard. (n.d.).
Newman, M. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences, 101(1), 5200–5205. https://doi.org/10.1073/pnas.0307545100
Nguyen, T. D., & Adhikari, S. (2023). The role of BIM in integrating digital twin in building construction: A literature review. Sustainability, 15(13), 10462. https://doi.org/10.3390/su151310462
Pandey, D. K., Hassan, M. K., Kumari, V., Zaied, Y. B., & Rai, V. K. (2023). Mapping the landscape of FinTech in banking and finance: A bibliometric review. Research in International Business and Finance, 67, 102116. https://doi.org/10.1016/j.ribaf.2023.102116
Shafei, H., Radzi, A. R., Algahtany, M., & Rahman, R. A. (2022). Construction 4.0 technologies and decision-making: A systematic review and gap analysis. Buildings, 12(12), 2206. https://doi.org/10.3390/buildings12122206
Shishehgarkhaneh, M. B., Keivani, A., Moehler, R. C., Jelodari, N., & Laleh, S. R. (2022). Internet of Things (IoT), Building Information Modeling (BIM), and Digital Twin (DT) in construction industry: A review, bibliometric, and network analysis. Buildings, 12(10), 1503. https://doi.org/10.3390/buildings12101503
Sun, C., Jiang, S., Skibniewski, M. J., Man, Q., & Shen, L. (2015). A literature review of the factors limiting the application of BIM in the construction industry. Technological and Economic Development of Economy, 23(5), 764–779. https://doi.org/10.3846/20294913.2015.1087071
Tsay, G. S., Staub-French, S., & Poirier, É. (2022). BIM for facilities management: An investigation into the asset information delivery process and the associated challenges. Applied Sciences, 12(19), 9542. https://doi.org/10.3390/app12199542
Ullah, K., Lill, I., & Witt, E. (2019). An overview of BIM adoption in the construction industry: Benefits and barriers. In 10th Nordic Conference on Construction Economics and Organization (pp. 297–303). https://doi.org/10.1108/S2516-285320190000002052
Van Eck, N. J., & Waltman, L. (2009). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Measuring scholarly impact (pp. 285–320). https://doi.org/10.1007/978-3-319-10377-8_13
Wang, M., Ashour, M., Mahdiyar, A., & Sabri, S. (2024). Opportunities and threats of adopting digital twin in construction projects: A review. Buildings, 14(8), 2349. https://doi.org/10.3390/buildings14082349
Wong, A. K. D., Wong, F. K. W., & Nadeem, A. (2010). Attributes of building information modelling implementations in various countries. Architectural Engineering and Design Management, 6(4), 288–302. https://doi.org/10.3763/aedm.2010.idds6
Xie, L., Chen, Z., Wang, H., Zheng, C., & Jiang, J. (2020). Bibliometric and visualized analysis of scientific publications on atlantoaxial spine surgery based on Web of Science and VOSviewer. World Neurosurgery, 137, 435–442.e4. https://doi.org/10.1016/j.wneu.2020.01.171
Zupic, I., & Čater, T. (2014). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
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