The growing literature on Data Mining since the 2000s has recently expanded to include the sub-field 'Educational Data Mining (EDM)'. The present study seeks to measure the contribution to the literature of specific articles written about EDM, by studying the publication volume, authors, article types, impact of the citations, and common citation networks. We employed bibliometric research methods to analyze the 259 articles published on EDM selected for the study. In recent years, there has been a significant increase in the number of EDM articles published in international journals, and this study sought to analyze the most cited researchers, those with the highest contribution to the literature. Additionally, using common word analysis, the most used three term patterns in the articles have been identified. The study also provides suggestions to improve EDM literature in the international field.