## 5 Research Questions
### Construction Sector
Aside from Switzerland and Finland, which are among the top ten globally in research and development, the other countries are ranked much lower by the OECD. Countries that lead in technology, research, and development are often at the forefront of incorporating advanced technologies like fuzzy logic, neural networks, genetic algorithms, and machine learning in various fields, including occupational risk assessment. Countries with strong academic and research institutions, as well as robust industrial sectors, are more likely to be involved in these fields. However, this research has highlighted other countries that are also pioneers in this area. This is also due to the fact that emerging economies and countries with a strong focus on technology and innovation, such as Taiwan and Italy, can indeed contribute significantly to the literature on occupational risk assessment. What are the topics of the top five published articles, and why were they chosen by other researchers? As mentioned in the introduction, due to the criteria applied, 289 articles were selected. From these articles, it becomes clear that there is a significant need within the scientific community to address and analyze occupational risks. The latest review of the reference field took place in October 2024. From this review, it was found that there are numerous articles--over two-hundred--that have between one and fifty-nine citations on the topic. Fifty articles have between sixty and one-hundred-seventeen citations, twenty articles have between one-hundred-eighteen and one-hundred-seventety-six citations, thirteen articles have between one-hundred-seventety-six and two-hundred-thirty-four citations, four articles have between two-hundred-thirty-five and two-hundred-ninety-three citations, two articles have between two-hundred-ninety-four and three-hundred-fifty-two citations, and another two articles have between four-hundred-fifty and five-hundred-twenty-seven citations. Finally, two articles have between five-hundred-twenty-eight and five-hundred-eighty-seven citations. It is important to note that there are no articles with citations between three-hundred-fifty-two and four-hundred-seventy. The number of articles that have not yet been cited is twenty-one articles (Figure 12). In general, it can be said that there is a clear need within the scientific community for the continuous improvement and handling of workplace safety. However, some articles gain more recognition compared to others. This research question aims to analyze why the top five articles, with the highest number of citations, managed to disproportionately increase their citations compared to the rest. The five most-cited articles are those that apply the techniques of fuzzy logic and neural networks. Additionally, three of them belong to the field of transportation, one to the industrial sector, and one to the construction sector. Generally, these are articles that take a holistic approach to their research topics. They typically combine more than two models into one technique. In Table 8 below, the top five are listed. The first column numbers the articles from one to five, the second column contains the authors' names, the third column shows the year of publication, and the last column provides the absolute number of citations. (Table 8)  
This ranking of the five articles changes if another column is added, to which column the quotient of total citations of the article per year (since its publication) is applied. Then, the ranking changes, with [PERSON] [272] moving from fifth to first place. [PERSON] [171], who held the first position, drops to second, [PERSON] [62] remains in third place, [PERSON] & [PERSON] drop from second to fourth, and, finally, [PERSON] [260] falls from fourth to fifth place. (Table 9)  
In the following paragraphs, the content of the top five articles is analyzed, along with the reasons why other researchers chose to cite these works. [PERSON] and colleagues [171], with 587 citations, analyze safety in gas processing facilities.