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00925njm 22002777a 4500 dc Galán Hernández, José Javier author Marín Díaz, Gabriel author Galdón Salvador, José Luis author 2024-11-01 Artificial intelligence has positively influenced several fields, including human resources. It has simplified the automated search for candidates in social networks, making it possible to filter a large amount of information to find the ideal candidate. It has also made it possible to predict drop-out rates, automate selection processes and allow applicants to participate remotely in training, optimizing human resources management and increasing business productivity. Specifically, during the COVID-19 pandemic and subsequent years, scientific production in this area has experienced a remarkable growth since 2019, with India being the most involved country and Computer Science and Business, Management and Accounting being the main research areas of interest. This bibliometric study, which covers the period 2013–2022 and presents a bibliometric map produced with VOSViewer, reveals four clusters with emerging areas and disciplines that are emerging as research trends: “ML for resource management”, “AI for recruitment management”, “DSS for information management”, and “AI for training”. Galán Hernández, J.J., Marín Díaz, G., Galdón Salvador, J.L. (2024). Artificial Intelligence Applied to Human Resources Management: A Bibliometric Analysis. In: Rocha, Á., Ferrás, C., Hochstetter Diez, J., Diéguez Rebolledo, M. (eds) Information Technology and Systems. ICITS 2024. Lecture Notes in Networks and Systems, vol 932. Springer, Cham. https://doi.org/10.1007/978-3-031-54235-0_25 978-3-031-54235-0 2367-3389 10.1007/978-3-031-54235-0_25 https://hdl.handle.net/20.500.14352/129929 https://doi.org/10.1007/978-3-031-54235-0_25 https://link.springer.com/chapter/10.1007/978-3-031-54235-0_25 Artificial intelligence applied to human resources management: a bibliometric analysis