This literature review examines the use of informetric methods to assess diversity in the scientific workforce, highlighting advances in author name disambiguation and individual-level metrics evaluation. It emphasizes the shift towards multidimensional models that account for diverse characteristics such as gender and ethnicity, suggesting future research pathways for equitable evaluation frameworks. https://doi.org/10.5281/zenodo.13880355

This paper reviews the main bibliometric approaches and findings reported in the scientific literature with regard to gender in science. https://doi.org/10.5281/zenodo.12636223