## 3 Scientometric Analysis
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Reference** & **Key Objective** & **Publication Year** & **Document Type** & **Citations** & **Journal** \\ \hline
[28] & Review of DT in smart cities. & 2022 & Review & 455 & Remote Sensing \\ \hline
[1] & Review of Infrared thermography & 2022 & Review & 229 & Renewable \& Sustainable \\  & applications in buildings. & 2022 & Review & 229 & Energy Reviews \\ \hline
[35] & A framework of circular economy in digital & 2021 & Article & 208 & Sustainability \\  & buildings. & 2021 & Article & 208 & Sustainability \\ \hline
[29] & A review of DT ensuring healthy & 2023 & Review & 176 & Frontiers Of Engineering \\  & environments. & 2023 & Review & 176 & Management \\ \hline
[8] & A review of Blockchain integrated with DT & 2023 & Review & 172 & Sustainability \\ \hline
[30] & A review of sustainable building through & 2024 & Review & 167 & Journal Of Cleaner \\  & digital technologies. & 2024 & Article & 166 & Technology In Society \\ \hline
[36] & Industry 4.0 technologies enable built & 2024 & Article & 166 & Applied Sciences-Basel \\  & environment sustainability. & 2021 & Review & 166 & Buildings \\ \hline
[32] & A review of DT applications in construction. & 2024 & Review & 164 & Buildings \\ \hline
[33] & A review of BIM evolving into DT & 2021 & Review & 156 & Journal Of Information Technology In Construction \\ \hline
[37] & IoT improving indoor air quality. & 2023 & Article & 149 & Science Of the Total \\  & environment & 2023 & Article & Environment \\ \hline
[38] & BIM-IoT integration for facility & 2021 & Review & 144 & Applied Sciences-Basel \\  & management. & 2024 & Review & 143 & Energies \\ \hline
[9] & Digital twin enablers in buildings. & 2024 & Review & 143 & Energies \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Top-cited articles about AI-driven Digital Twins and IoT for Sustainable Building Environment. Figure 7: Network of the research’s most influential countries. The researcher with the highest number of published documents is [PERSON], with 10 documents to his name. Following closely behind is [PERSON], as in Figure 8. [PERSON], [PERSON], [PERSON], and [PERSON], each with 10 documents published. A significant number of researchers have published between 2 and 5 documents, demonstrating a diverse range of research activity within the field. The researcher with the highest total link strength is [PERSON], with a score of 10. This indicates that his work has been widely cited and recognized by the scientific community. [PERSON] and [PERSON] also have high total link strengths of 10 each, suggesting that their research has had a significant impact on the field. Other researchers with notable total link strengths include [PERSON] (9), [PERSON] (8), and [PERSON] (7). The chart reveals a diverse landscape of researchers contributing to the field, with varying levels of productivity and impact. Some researchers have published a significant number of documents, indicating high research activity. However, the total link strength plays a crucial role in assessing a researcher's influence. Researchers with a high total link strength have published influential works that have been widely cited and recognized by the scientific community. The network diagram of key researchers offers a comprehensive analysis of the research landscape in AI-driven Digital Twins and IoT for SBE, as in Figure 9. The network illustrates the interconnectedness of key researchers, with [PERSON] serving as a central figure, facilitating collaborations and connecting different research groups. Other researchers, such as [PERSON], [PERSON], and [PERSON], [PERSON], play significant roles as hubs, connecting multiple researchers and contributing to the field's collaborative culture. While researchers such as [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], [PERSON] have fewer collaborative connections, their specialized areas of expertise contribute to the diversity and breadth of research in this field.