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A comprehensive literature review and bibliometric analysis on shape grammar theory and applications in architecture.

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Title: A comprehensive literature review and bibliometric analysis on shape grammar theory and applications in architecture.
Authors: A, Linas Fathima1 (AUTHOR) linasfathima@gmail.com, K, Chithra1 (AUTHOR)
Source: International Journal of Architectural Computing. Mar2026, Vol. 24 Issue 1, p7-34. 28p.
Subjects: Bibliometrics, Design techniques, Scholarly peer review, Architectural design
Abstract: Shape Grammar is a systematic tool used in the logical argumentive method in research for interpreting spatial design and activities. Shape grammar applies a group of shape rules in stages to create a set or a language of design. Researchers worldwide have used this method in various fields including architecture, arts, graphical design, and pattern recognition. Even in the case of architecture, researchers worldwide have implemented the shape grammar method to analyze patterns in various architectural fields. This study analyzed publication trends in the shape grammar domain using "Bibliometrix", an open-source tool that uses the R package. Research papers from the Web of Science and Scopus (WoS) database were identified and assessed in terms of annual publication trends, contributions of various authors, countries, citation counts of authors, universities, popular keywords, journal trends, etc. A comprehensive literature review of all relevant research papers available in the WoS and Scopus academic databases on shape grammar and its application in architecture was also conducted as part of this study. The research paper concludes with the possible research opportunities in the domain of shape grammar. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Architectural Computing is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: A comprehensive literature review and bibliometric analysis on shape grammar theory and applications in architecture.
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  Data: Shape Grammar is a systematic tool used in the logical argumentive method in research for interpreting spatial design and activities. Shape grammar applies a group of shape rules in stages to create a set or a language of design. Researchers worldwide have used this method in various fields including architecture, arts, graphical design, and pattern recognition. Even in the case of architecture, researchers worldwide have implemented the shape grammar method to analyze patterns in various architectural fields. This study analyzed publication trends in the shape grammar domain using "Bibliometrix", an open-source tool that uses the R package. Research papers from the Web of Science and Scopus (WoS) database were identified and assessed in terms of annual publication trends, contributions of various authors, countries, citation counts of authors, universities, popular keywords, journal trends, etc. A comprehensive literature review of all relevant research papers available in the WoS and Scopus academic databases on shape grammar and its application in architecture was also conducted as part of this study. The research paper concludes with the possible research opportunities in the domain of shape grammar. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Architectural Computing is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Scholarly peer review
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              Text: Mar2026
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