## 3 Results I--Analysis of Bibliometric and Bibliographic Data
### Keyword Clustering  
Keyword clustering was performed to identify major themes within the research about the safety of the fishing vessels. As shown in Figure 12, a Thematic map was generated in Biblioshiny to classify the keywords based on their relevance and development, illustrating their relative positions and relationships. In this map, Motor themes are topics with both high academic importance and strong internal development, indicating that they are well-established and play a central role in the research field. Niche themes are topics that are highly developed internally but have low connectivity to other themes. These topics are often considered as specialized fields, representing very specific areas. Basic themes are foundational or cross-cutting topics that often serve as a basis for research or can be applied across multiple fields. Emerging or declining themes are topics that are either in the process of emerging or in decline, indicating that they may require further research to fully develop. It is important to note that the positions of these themes on the map are indicative but not absolute in significance. Figure 11: Three-fields plot connecting journal outlets, keywords, and countries. As a result, clusters related to \"accident prevention\" can be seen as basic themes, while research on topics such as \"human\" and \"stability\" are actively progressing, indicating their ongoing importance in the field. Furthermore, topics such as \"fleet operations\" appear to be emerging themes, reflecting recent trends in addressing environmental issues and advancing autonomous navigation. \"Risk analysis\" although not particularly strong, is categorized as a niche theme, suggesting that it is a specialized cluster focused on the analysis of accidents. In addition to the Thematic map, VOSviewer was utilized to create a network combining both Scopus-indexed keywords and author-provided keywords, as shown in Figure 13. The keywords were grouped into four main clusters: \"risk assessment\", \"human\", \"stability\", and \"fleet operations\". This classification closely aligns with the findings from the Thematic map, indicating a consistent pattern in the core themes and ongoing research trends in the field. The keywords included in the risk assessment cluster consist of terms such as \"accident prevention\", \"accidents\", \"risk factor\", and \"Bayesian networks\". This suggests  
Figure 12: Thematic map of keywords related to fishing vessel safety. Figure 13: Network of keywords related to fishing vessel safety. that studies focusing on analyzing the causes of accidents occurring on fishing vessels, developing methodologies for categorizing these accidents, and researching strategies to prevent potential risk factors are closely interrelated. Based on this observation, this study categorizes these related topics into a single research cluster named _Risk/Accident Analysis_. This area corresponds to both the niche and basic themes in the Thematic map, indicating that it represents a specialized yet foundational field of research. Next, a group of keywords centered around human factors can be observed, which includes terms such as \"aged\", \"occupational health\", \"injury\", and \"statistics\". While all accidents on fishing vessels inherently involve human elements, this cluster specifically focuses on the impact of accidents on individuals and the role of human error as derived from accident case studies. This area pertains to the motor themes, suggesting that it is a highly active and central research field. Consequently, this area has been established as a distinct research cluster under the theme _Human Factor_. The third cluster is comprised of research focused on vessel stability. Unlike analyzing accident causes or calculating probabilities, stability can be calculated physically using established metrics. Reflecting this characteristic, the cluster includes keywords such as \"seakeeping\", \"stability analysis\", \"loading condition\", and \"automation\".