## 2 Methodology  
The research uses the PRISMA [14] approach. The most relevant articles were selected with a timespan from 1975 to 2023, representing 48 years of published literature. The following research engines were accessed: Scopus [15], ISI Web of Knowledge [16], Sage [17], ACM Digital Library [18], Science Direct [19], and IEEE Xplore digital library [20] (all accessed on 3 March 2024). These scientific databases retrieved 289 publications (11 from WoS, 27 from Scopus, 24 from IEEE, 31 from Science Direct, 37 from ACM, and 159 from SAGE). One paper was added to the collection to support the explanation of the Circos diagram [21]. From the databases selected, 192 publications were removed (3 from WoS, 13 from SCOPUS, 12 from IEEE, 13 from Science Direct, 35 from ACM, and 116 from SAGE) due to being duplicates, proceedings that were out of scope, books that were out of scope, and abstracts or content that were out of scope. Figure 1 shows the PRISMA information flowchart. The search used for paper selection from databases was based on keywords (\"general aviation\", \"preflight planning\", \"decision-making\", \"situation awareness\", and \"risk management\"). By reviewing the abstracts and content of the papers, we selected the most important studies for each database's final score. In the next step, all proceedings articles, duplicates, and out-of-scope articles from each database were removed. After merging the results, all the duplicates found in the final score were removed. The eligibility of the papers was assessed by assessing the subject in the abstract and comparing keywords with the ones used in the research queries. The introduction content was also reviewed, as well as the methods used and conclusions obtained. Appendix A shows the specifications of the articles in the journals obtained by journal title, source, country, publisher, h-index, and quartile provided by Scimago Journal and Country Rank [22]. Bibliometric analysis was conducted using Endnote [23] and Circos [21] software. Vosviewer 1.6.20 software [24] was used to conduct qualitative and quantitative data network analysis regarding keyword occurrence-based bibliometric maps. Table 1 shows the results of the research questions made in the databases. We searched \"ANYWHERE\" in the SAGE database because only three studies were obtained in the abstract field if we searched only the title abstract or keywords. Due to the limitation of using eight boolean operators in the Science Direct Database, we split the query into  
A content analysis was performed to understand the main topics from the publications retrieved. This content analysis allowed the creation of acronyms, as shown in Table 2.  
From Table 2, we see that for the search queries in question, the literature focuses on the following concepts: situation awareness (SA), performance (PE), human-machine interaction (HM), weather (WR), risk management (RM), preflight (PF), training (TG), safety (SF), human error (HR) and decision-making (DM). In Figure 2, we relate the acronyms previously shown in Table 2 to a time publication reference, which are called contributing factors from now on. Figure 2 illustrates the frequency of each factor according to searches made in the referred databases. The chart clearly shows the presence of the contributing factors in the literature. Using the aesthetic information software Circos 0.69-9, we built a circle diagram to visualize the elements [21]. The timeline (right-hand part) shows the results from 1975 until 2023, and the left-hand part shows the contributing factors. To connect these two sides of the Circos diagram, we colored ribbons, which relate each factor's publication amount to the corresponding time interval. A 3-year time interval was selected for better visualization of the results. The widths of the colored ribbons indicate more publications by contributing factors per time.