The scientometrics has become the most important tool to evaluate and analyze the performance of scientists, cooperation between universities, the impact of public funding of science on the results of national research and development, the effectiveness of education, and others. Therefore, professionals and scientists need a range of theoretical and practical tools to measure experimental data. The purpose of this article is to provide an up-to-date overview of the various tools available for scientometric analysis, including data sources, performance analysis and visualization tools. In this study performed a scientometric analysis based on 21,180 publications from the Scopus database was conducted with only published articles in mining industry between 1960 and 2023. It also revealed that 77% of the articles were published in journals and only 2.6% corresponded to review studies. Using network analysis in VOSviewer, the publications were grouped by keywords into 5 clusters with Strength. Cartographic analysis confirmed the descriptive findings and visualized the co-authorship of authors. Using bibliographic linkage analysis, the semantic relationship between authors and their associated institutions and countries was investigated (consist of 38 clusters with 404 link). Average number of citations per keyword (3.2) will allowed the most cited area is devoted to health risks. Recent studies have focused on dust and lung diseases which can pose a serious threat to the life and health of mine workers, therefore risk of coal dust explosions, which in result poses a direct risk of injury or even loss of life.