## 3 Dataset Analysis
### Authors  
In the context of the Authors Analysis, the authors with the most relevance will be examined, along with the top 20 most relevant affiliations, the top 20 authors' production over time, and the top 20 most relevant corresponding authors' countries. With regard to the first 20 most relevant authors, as can be seen in Figure 8, [PERSON] and [PERSON] stand out, with six articles each, followed by [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON] with three articles each. From the perspective of the publication date of the scientific papers, in our analysis, only the first 20 authors with the most publications have been considered. Based on Figure 9, it is visible that the topic of AI applications within local and regional studies registers a significant emerging trend, with the majority of articles being published from the year 2018 onwards, mainly due to the fact that there is an exponential advancement of technologies that can be used in the context of AI applications. For instance, [PERSON] has published six articles across the 2018-2023 period, receiving a total number of 45 citations over the same period of time. Additionally, [PERSON] has managed to publish the same amount of articles, six, averaging 13 citations yearly. With regard to the most relevant affiliations based on the number of articles, Figure 10 depicts the first 20 universities that are the most relevant to our study. These affiliations  
Figure 8: Top 20 authors based on number of documents. Figure 9: Top 20 authors’ production over time. presented not only a high throughput of articles over the analyzed period, but also displayed significant productivity in the area of AI applications within local and regional studies, contributing to the comprehensiveness of our research. Explicitly, universities such as \"Duy Tan University\", the \"Chinese Academy of Science\", and \"Ton Duc Thang University\" proved to be the universities that have been the most productive. In Figure 11, countries that have the most relevant corresponding authors in the context of our research are presented. These corresponding authors have mainly focused on the usage of AI applications within local and regional studies. Additionally, in order to determine the countries with the most relevant corresponding authors, two metrics have been considered: SCP (single-country publication) and MCP (multiple-country publication). Both of these metrics proved to be highly valuable in our analysis, as the SCP metric provides essential information regarding the collaborative nature that exists amongst the articles and its frequency, whereas the MCP metric shares key information about the existing distribution and collaboration patterns. Figure 11: Top 20 most relevant corresponding authors’ countries. Figure 10: Top 20 most relevant affiliations. For our analysis, the information illustrated in Figure 11 can be analyzed from three dimensions:  
* Total number of articles--China is by far the country with the greatest amount of research, with a total of 81 articles, followed by the United States of America, with 20 studies, and Italy, with 15 scientific studies;
* SCP articles--similarly to the previous point, China is the country with the most single-country publications, with an impressive number of 69 articles, followed by Italy, with 12 studies, and the United States of America, with 11 scientific studies;
* MCP articles--the country with the most published articles that are authored by corresponding authors who are from different countries is China, with 12 studies, closely followed by the United States of America, with 9 articles, and the United Kingdom, with 6 scientific studies. Considering the complexity of Figure 11, it is visible that national collaboration in research in the area of AI applications within local and regional studies is a critical point for further expanding the knowledge in the field of study. Yet, international collaboration is also an important step in broadening the knowledge of the subject matter.