Miguel Mira da Silva
Papers
4
Total Citations
148
H-Index
4
About
Miguel Mira da Silva is a prominent researcher whose work sits at the intersection of intelligent automation, process optimization, and enterprise technology. He is best known for his substantial contributions to the field of Robotic Process Automation (RPA), an area he has helped shape through both foundational and applied research. His most influential work, a systematic literature review on RPA adoption published in 2022, has accumulated 78 citations, establishing itself as a key reference point for researchers and practitioners seeking to understand how organizations are embracing software robots to offload routine, rule-based tasks from human workers. Building on this foundation, his 2023 paper on process selection for automation using AHP and TOPSIS methodologies (48 citations) offers organizations a structured, decision-support framework for identifying which processes are most suitable for automation — a practical and highly valued contribution to the field. His sector-specific research, including a lean approach to RPA in banking (18 citations), demonstrates a commitment to translating theoretical frameworks into real-world industry applications. Earlier work through the SocRob@Home project reflects broader interests in robotics and human-computer interaction. Collectively, Mira da Silva's research has become essential reading for anyone navigating the rapidly evolving landscape of enterprise automation and digital transformation.
Research Focus
Key Achievements
Top Papers
- 1Robotic Process Automation (RPA) Adoption: A Systematic Literature Review78 citations · 2022
- 2A method for selecting processes for automation with AHP and TOPSIS48 citations · 2023
- 3A lean approach to robotic process automation in banking18 citations · 2023
- 4SocRob@Home4 citations · 2019