This scientometric analysis maps research trends in smart and sustainable architecture in educational environments, with an emphasis on green schools and campuses, and lists the bibliometric tools and representative literature it draws on.

The work positions its topic as smart and sustainable architecture in educational environments, explicitly emphasizing green schools and campuses. Relative to studies focused on a single building type or a single technology, it treats educational buildings (schools and campuses) as the focal setting for smart and sustainable architecture research. The basis is the title in the loaded text, which states the topic and emphasis; the body is not loaded, so its search scope and inclusion criteria cannot be verified.

The work is a scientometric/bibliometric analysis and cites tools and methodological literature from that field. It brings bibliometric tools (such as Bibliometrix, VOSviewer, and CiteSpace) and methodological sources on science mapping and co-citation analysis into its reference base. The basis is the loaded references, including Aria and Cuccurullo (2017) on Bibliometrix, Van Eck and Waltman (2010) on VOSviewer, Ding et al. (2024) using CiteSpace and VOSviewer for visual analysis, Small (1973) on co-citation, Börner et al. (2003) on visualizing knowledge domains, and Zupic and Čater (2015) on bibliometric methods.

The work gathers literature on green school and campus assessment and on sustainable education space design. It places side by side sources on Iran's green school assessment system, sustainability criteria for administrative green schools, environmental sustainability components and indices in Iran's educational spaces, and a systematic review on sustainable education space design. The basis is the loaded references, including Meiboudi et al. (2016) on an integrative assessment system for green schools in Iran, Meiboudi et al. (2017) on developing and validating sustainability criteria of administrative green schools, Bareshadat et al. (2019-b) on environmental sustainability components and indices in Iran's educational spaces, and Hotar et al. (2024) on a systematic review of sustainable education space design.

The work gathers literature on smart buildings, smart campuses, and technology directions such as BIM, IoT, digital twins, and artificial intelligence. It brings sources on the evolution of smart buildings, smart campus applications, BIM and IoT integration, the relationship between AI and BIM, and AI techniques in green/smart buildings into a single reference framework. The basis is the loaded references, including Briones-Bitar et al. (2025) on a bibliometric analysis and systematic review of smart building evolution, Singgih et al. (2025) on a literature review of smart campus applications, Baghalzadeh Shishehgarkhaneh et al. (2022) on IoT, BIM, and digital twin review and network analysis, Chen et al. (2023) on BIM and IoT integration, Li et al. (2024) on the relationship between AI and BIM, and Rodríguez-Gracia et al. (2023) on a review of AI techniques in green/smart buildings.

As far as the loaded text shows, the work addresses researchers and planners interested in smart and sustainable architecture in educational environments, green schools, and campuses; its reference base covers green school assessment, sustainable education space design, smart buildings and smart campuses, BIM and IoT, biophilic design, energy efficiency, and net-zero energy buildings, and it cites tools such as Bibliometrix, VOSviewer, and CiteSpace along with methodological sources on co-citation and science mapping. It can help readers locate representative literature and commonly used analytical tools on this topic, and it is suited to literature review and research-direction mapping.

The loaded text is incomplete and presents only a reference list, with no abstract, method details, data sources, search strategy, sample size, or analysis results, so its search scope, inclusion criteria, time span, and main findings cannot be verified. Readers interested in the specific conclusions, bibliometric indicators, or visualization results of this scientometric analysis need to consult the original; this summary can only describe the work based on the title and the loaded reference entries.