## 3 Analysis and Results  
### Visualization Analysis of Researchers  
Highly productive authors are the core driving force behind the research in this field, while highly cited authors represent those with significant influence within the domain. Co-authors reveal the collaborative networks among researchers and highlight the research connections within specific fields [27]. According to the bibliometric data, a total of 307 authors have contributed to the literature in this domain, as shown in Table 1. The authors with the highest publication output are [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], [PERSON]. [PERSON], [PERSON]. (University of Michigan) has published 18 articles, ranking first in publication output, indicating their active involvement in construction robot research and their role as a major academic leader in this field. Such a high number of publications suggests that they are involved in various research topics, and that their work plays a central role in advancing the field. [PERSON], [PERSON] (Technical University of Munich) and [PERSON], [PERSON]. (University of Michigan) have published eight articles each, ranking second and third. Their significant publication output indicates that they also make substantial academic contributions in this field. Moreover, their close collaboration with [PERSON], [PERSON], particularly the academic partnership between [PERSON] and [PERSON] at the University of Michigan, suggests a strong research team. [PERSON], [PERSON] (Texas A & M University System), [PERSON], [PERSON] (University of Macau), and [PERSON], [PERSON] (Hunan University of Science & Technology) have published five articles each, with their research making a considerable impact in specific regions or research topics. In particular, [PERSON], [PERSON]'s affiliation with the University of Macau suggests that the institution may serve as a research hub, advancing the development of construction robotics in the region. \begin{table}
\begin{tabular}{c c c} \hline
**No.** & **Name** & **Institution** & **Publication Volume** \\ \hline
1 & [PERSON], [PERSON]. & University of Michigan & 18 \\
2 & [PERSON], [PERSON] & Technical University of Munich & 8 \\
3 & [PERSON] & University of Michigan & 8 \\
4 & [PERSON], [PERSON] & Texas A \& University System & 5 \\
4 & [PERSON], [PERSON] & University of Macau & 5 \\
4 & [PERSON], [PERSON] & Hunan University of Science \& Technology & 5 \\
4 & [PERSON], [PERSON] & University of Hong Kong & 5 \\
4 & [PERSON] & University of Illinois Urbana–Champaign & 5 \\ \hline \end{tabular}
\end{table} 
Table 1: Top 10 researchers by number of publications. As shown in Figure 1. As shown by the analysis of the number of publications and collaborative networks, [PERSON], [PERSON] and [PERSON], [PERSON] remain central figures in the field. [PERSON]'s in-depth research in construction robotics has likely earned them greater academic authority, while [PERSON]'s collaboration provides strong support for the academic development of the field. The collaboration network analysis reveals that scholars such as [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], [PERSON] have more extensive international networks, with their affiliations in different countries offering opportunities for global academic collaboration. This international collaboration trend is likely to propel the global development of construction robot technology. Table 2 presents the ten most cited articles. The most cited article is by [PERSON] (2015), is titled \"The future of construction automation: Technological disruption and the upcoming ubiquity of robotics\", and has been cited 265 times. The citation count for this article is significantly higher than for others, indicating its high level of academic influence in the field of construction robotics. [PERSON]'s discussion of the future of construction automation and the increasing prevalence of robotics has become a seminal work in the field, providing a theoretical foundation for future research.