Miguel Mira da Silva

University of Lisbon

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

4
H-Index
4
Papers
148
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Process Automation (RPA) Adoption: A Systematic Literature Review
78 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Lisbon

Top Papers

  1. 1
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  4. 4
    SocRob@Home
    4 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago