## 3 Dataset Analysis
### Authors  
Figure 8 illustrates the most prolific authors within the domains of transportation and ABMs, showcasing those with a substantial body of work, comprising more than six published articles. This selection was made with the intent of identifying authors who  
Figure 6: Journals’ impact based on H-index. Figure 7: Journals’ growth (cumulative) based on the number of papers. have made particularly significant contributions, necessitating a threshold of at least five published articles. Notably, authors [PERSON] and [PERSON] emerge as the most prolific, each boasting a total of 19 publications. Following closely, author [PERSON] has contributed significantly with 15 articles. Subsequently, a cohort of authors, including [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], and each feature prominently with a substantial body of work, contributing between 7 and 11 articles. Considering the works of the above-mentioned authors, it can be observed that they mainly feature applications of ABM in the area of airplane boarding. Figure 9 provides an insightful depiction of the publication distribution for the 16 most influential authors within the dataset. Notably, the initial phases of the analyzed period witnessed limited publication activity among these authors, with only a few articles in the early years. However, a discernible shift occurs in subsequent years, particularly after 2017, marked by a substantial surge in their publication output. This pattern underscores a concentrated and impactful contribution to the scientific literature within the later stages of the study period, emphasizing the evolving prominence of these authors in the field of transportation and ABMs. Figure 10 offers an overview of the most prominent affiliations within the dataset, featuring universities with more than 13 articles. We chose the threshold of 13 articles, as there were numerous universities with 12 publications, and this criterion allowed us to highlight the most influential institutions in the transportation and ABM domains. Figure 8: Top 16 authors based on number of documents. Figure 10: Top 17 most relevant affiliations. Taking the lead is Delft University of Technology, with an impressive total of 43 published articles, cementing its position as the foremost institution in these domains. Following closely in second place is the Bucharest University of Economic Studies, with a notable 28 articles. The Beijing Jiaotong University secures third place, having contributed significantly with 25 papers. Further investigating the reasons behind the position of the above-mentioned universities regarding the topmost prolific universities from the point of view of number of publications in the area of agent-based modeling in transportation,  
Figure 9: Top 16 authors’ production over time. we have observed that both Delft University of Technology and Bucharest University of Economic Studies provide agent-based-related courses. In the case of Delft University of Technology, the university offers a course called \"Agent-based Modeling of Complex Adaptive Systems\", while in the case of Bucharest University of Economic Studies, the courses offered refer to \"Fundamentals of Economic Cybernetics\" and \"Economic Cybernetics\". The United States, with 285 published articles, emerges as the predominant leader among the countries represented in the dataset, contributing to nearly 25.28% of the total corpus. Notably, the United States stands out with the highest number of Multiple-Country Publications (MCPs) at 51 papers, denoting collaborations between authors from different countries, as well as the highest count of Single-Country Publications (SCPs) at 234 articles, reflecting collaborations within the same country. For a comprehensive breakdown of these statistics, please refer to Figure 11.  
Within the top 10 contributing countries, China ranks second with 128 published articles, comprising 44 MCPs and 84 SCPs.