In the knowledge-based economy, effective public policies and programs that enhance the quality of human capital are an essential requirement for maintaining the competitiveness of the European economy on a global scale. As regional disparities remain to this day, the Structural Funds aim to promote convergence by improving the economic efficiency of the poorest states. It is normal to analyze and determine the effect that European funding has on the development of human capital in those regions. In order to emphasize the significance of European funding and the relationship between the level of support offered through the implementation of European projects and the development of human capital, we have carried out a bibliometric study of the data available in the WOS database. The 479 scientific articles were extracted using the tag "impact of European projects on human resources" by applying specific filters and keywords. The searches were distributed by year, by country, by affiliated institutions, and by the highest word density of the reviewed articles. The stages of the investigation method were based on the PRISMA Statements methodology. The conclusions of the article are a starting point for future analyzes regarding the impact of European funds on human resources, considering that the end of the second programming period of the structural funds accessed directly by Romania was 2023. Our findings show the existence of 4 separate directions of analysis and substantiation of the results.: cluster 1 contains the impact of European funding on the development of human resources; cluster 2 contains systems for distribution, prioritization and selection of potential beneficiaries; cluster 3 contains references to the specific policies of the European Union, and cluster 4 contains articles that analyze models for the allocation, management and evaluation of European funds. For the specific analysis of a certain field of research, we can have as a starting point a keyword found in the 4 clusters with the links within the clusters and between the clusters to find new topics of interest, new interdisciplinary correlations and new methods of approach.