## 3 Overview of Results
### Country Analysis
Compared with our results, half of the countries included in top 10 were common, with China being the most representative country in both cases, and the USA third. The differences could appear due to the different filters that were applied to dataset extraction. [PERSON] et al. [46] investigated the scientific evolution and contribution of AI in the field of portfolio optimization, evaluating the most representative countries. Regarding the number of publications, China was in first place with a total of 233 papers, including 187 SCPs and 46 MCPs, followed by the USA with 78 articles, consisting of 57 SCPs and 21 MCPs, and India with 39 articles, including 36 SCPs and only three MCPs. The rest of the countries included in the top 10 were Korea, the UK, Iran, Canada, Brazil, Japan, and Italy. According to our results, there were numerous similarities with the paper published by [PERSON] et al. [46], with China being the most relevant country based on the number of publications and a total of eight countries in common. Figure 13 focuses on the 10 most cited countries. In first place was China, with a total of 2415 citations, having a mean article citation count of 32.60, followed by the USA, with 421 citations and an average article citation count of 26.30. In third place was India, with 259 citations and an average article citation count of 28.80, while Iran had 205 citations and a mean article citation count of 22.80. The remaining countries had less than 200 citations: Brazil (195 citations, with a mean of 15.00 article citations), Malaysia (182 citations, with a mean of 60.70 article citations), Spain (144 citations, with a mean of 8.50 article citations), Germany (110 citations, with a mean of 18.30 article citations), France (109 citations, with a mean of 36.30 article citations) and Italy (108 citations, with a mean of 10.80 article citations). Figure 12: Top 10 Most Representative Corresponding Author’s Countries. [PERSON] et al. [51] evaluated the main trends and themes in AI that had been discussed by the academic community during the COVID-19 era, finding that China was the most cited country with 2874 citations, followed by the USA with 895 citations, the UK with 430 citations, Australia with 426 citations, Canada with 218 citations, France with 182 citations, Germany with 181 citations, South Korea with 169 citations, and Singapore with 164 citations. In total, the findings for four countries were similar to our results, with China being, in both cases, the most representative country, followed by the USA by a significant margin, while Germany and France stood out as relevant countries in the time series and AI domains. [PERSON] et al. [46] found that China had the highest number of citations, with a total of 2169, followed by the USA with 1171, Brazil with 589, India with 500, and Singapore with 432. The remaining countries included in the top 10 were Korea, Greece, the UK, Spain, and Italy, highlighting that the findings for the majority of the countries were similar with our results, but at the same time, there were significant differences due to the different topics, timespan and focus of the research. Figure 14 presents a map of scientific collaboration between countries. First, it should be mentioned that the blue color used for the countries in Figure 14 depicts the contribution of each country in the selected domain. Furthermore, the countries shaded in grey made no contribution to the selected field, according to the extracted dataset. Consequently, the density of the lines marked in red in Figure 14 symbolizes the intensity of the collaboration between two countries, measured by the number of papers written through collaboration between the two countries at the end of each line.