Irene Barba

Universidad de Sevilla, Técnicas y Servicios de Ingeniería (Spain)

Papers

Total Citations

118

H-Index

About

Irene Barba is a leading voice in the evolution of Robotic Process Automation (RPA), with a particular focus on integrating artificial intelligence to create more intelligent, cognitive automation solutions. Her research centers on improving the early stages of the RPA lifecycle and developing systematic frameworks for understanding cognitive RPA components. Barba’s most influential work, "A Method to Improve the Early Stages of the Robotic Process Automation Lifecycle" (2019), has garnered over 100 citations, establishing her as a key contributor to foundational RPA methodology. She further advanced the field by proposing a taxonomy for cognitive RPA components (2020), helping to classify and structure the intersection of AI and automation. Her most recent work (2023) explores the automatic generation of incremental taxonomies to guide users through RPA project development, reflecting her ongoing commitment to making cognitive RPA more accessible and structured. Through her research, Barba is shaping how organizations approach the design and implementation of next-generation automation systems.