Volume 15, Issue 7 · IJARST · ISSN 2319-1783 / 2320-1126

Artificial Intelligence in Spatial Design: A Bibliometric Analysis of Research Trends, Thematic Structure, and Future Directions (2018–2025)

Artificial Intelligence in Spatial Design: A Bibliometric Analysis of Research Trends, Thematic Structure, and Future Directions (2018–2025) is an open-access, peer-reviewed research paper by Jinyang Li, published in Volume 15, Issue 7 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

Jinyang Li

Abstract

Artificial intelligence, particularly generative AI, is reshaping spatial design, but research remains fragmented. This study maps 434 topic-screened Lens.org publications (2018–2025) using bibliometrix and VOSviewer to analyse publication trends, authorship, citations, disciplinary composition, and title–abstract term co-occurrence. Of these, 365 (84%) were published in 2023–2025; mean annual output rose from 13.8 in 2018–2022 to 121.7 in 2023–2025. Three interconnected clusters emerged: generative and visual AI; architectural design, process, and education; and performance optimisation and sustainability. Highly cited studies focused on generative and optimisation approaches, while collaboration remained fragmented across small author groups. Although design education was prominent, a post-hoc corpus search identified only four records (0.92%) containing child-related terms, indicating that children’s and early-childhood spaces are under-represented. The study maps the field across the generative-AI transition and highlights priorities for human-centred, performance-aware, and context-specific research.

DOI: https://doi.org/10.62226/ijarst20262750

 

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DOI

https://doi.org/10.62226/ijarst20262750

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How do you cite this paper?

Jinyang Li — “Artificial Intelligence in Spatial Design: A Bibliometric Analysis of Research Trends, Thematic Structure, and Future Directions (2018–2025).” International Journal of Advanced Research in Science and Technology (IJARST), Volume 15, Issue 7. DOI: https://doi.org/10.62226/ijarst20262750.

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