Rafael Cabello Ruiz

Papers

Total Citations

H-Index

About

Rafael Cabello Ruiz is a leading scholar in the field of Robotic Process Automation (RPA) and human-robot collaboration, whose work has reshaped how organizations approach automation in real-world settings. His research critically examines the evolution of RPA from an overhyped, end-to-end automation solution to a more pragmatic, human-centric model. In his highly cited 2022 paper, "Hybridizing humans and robots: An RPA horizon envisaged from the trenches" (35 citations), Cabello Ruiz argues that the most effective automation strategies emerge not from replacing human workers, but from fostering seamless collaboration between humans and software robots. This work has become a foundational reference for practitioners and academics alike, offering a grounded perspective on the limitations and realistic potential of RPA technologies. By bridging the gap between theoretical promise and operational reality, Cabello Ruiz has established himself as a critical voice in the discourse on digital transformation. His contributions continue to guide researchers and industry leaders in designing automation systems that are both efficient and socially sustainable, making him a key figure in the ongoing evolution of intelligent process automation.