## 3 Dataset Analysis
### Dataset Overview  
Table 2 summarizes the main information in the utilized database. The bibliometric analysis spans an extended timeframe, ranging from 2000 to 2022, providing insights into the evolution of research over at least two decades. Data from 146 different sources were analyzed, indicating the diversity of resources and information used in the bibliographic research. The analysis contains a total of 180 documents, with an average publication age of approximately 18.26 years, suggesting the inclusion of older documents with enduring influence and relevance. Each analyzed document received an average of 16.02 citations, serving as a measure of its impact and recognition within the scientific community. The average citations per year per document stand at 5.14, offering a perspective on the frequency of citations each year. The analysis involved a total of 8862 bibliographic references, highlighting the breadth of information sources and connections to other works in the respective field. All this information provides a robust foundation for understanding the context and impact of the conducted bibliometric research. The annual evolution of scientific production regarding the use of AI in ABM applications in Figure 2 shows a significant upward trend in recent years. It is observed that, during the period 2000-2005, there is a low fluctuation, with certain years where scientific production is minimal or nonexistent. From 2006 to 2008, there was a significant increase, with production doubling or tripling from year to year. In the following years, 2009-2015, there is a certain stability, with moderate variations in annual production. From 2016 onward, constant growth is noted, with a significant accentuation in 2019 and 2020. The years 2021 and 2022 stand out as the most prolific, with a significant explosion in scientific production, reaching a peak in 2021 with 42 papers and maintaining a high level in 2022 with 40 papers. This evolution indicates an intensification of interest and activity in the analyzed field in recent years, with a strong concentration, especially in 2021 and 2022. \begin{table}
\begin{tabular}{l c} \hline \hline \multicolumn{1}{c}{**Indicator**} & **Value** \\ \hline Timespan & 2000:2022 \\ Sources & 146 \\ Documents & 180 \\ Average years from publication & 18.26 \\ Average citations per document & 16.02 \\ Average citations per year per document & 5.14 \\ References & 8862 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Main information about WoS data. The evolution of the number of citations indicates a significant growth trend in the first two decades of bibliometric analysis, with an initial fluctuation in the first five years of the analysis, according to Figure 3. Starting in 2006, a steady increase was observed, reaching a peak in 2021 with an average of 42 papers cited 3.15 times per year. The year 2022 maintains a high level, with 40 papers cited on average 1.96 times per year. This evolution suggests an intensification of interest and activity in the analyzed field, with a strong focus, particularly in 2021 and 2022. Figure 3: Annual average article citations per year evolution. Figure 2: Annual scientific production evolution. According to Table 3, the database used contains 471 additional keywords and 649 author's keywords, indicating a rich and diverse range of terms associated with the documents. This suggests a wide variety of subjects and topics covered in the research literature. [PERSON] and [PERSON] [59] proposed a specific new form of cited reference analysis. This new form was named Reference Publication Year Spectroscopy (RPYS) [60]. The most frequent applications of RPYS include discovering seminal papers and the historical roots of papers published in a journal, on a specific topic, or by a researcher. In other words, a graphical representation of the RPY's against the number of cited references shows early peaks where historical roots can be identified.