Simon Elias Bibri

École Polytechnique Fédérale de Lausanne

Papers

2

Total Citations

75

H-Index

2

About

Simon Elias Bibri is a prominent researcher working at the intersection of artificial intelligence, smart cities, and digital governance. His scholarly work focuses on the transformative potential of AI technologies in public sector contexts, particularly examining how local governments can strategically adopt and implement intelligent systems to enhance service delivery and community outcomes. Bibri has emerged as a leading voice in understanding the practical realities of AI deployment in governmental settings, moving beyond theoretical frameworks to investigate real-world implementations and extractable best practices. His most cited work, "Unlocking Artificial Intelligence Adoption in Local Governments: Best Practice Lessons from Real-World Implementations" (2024), has rapidly accumulated 71 citations, reflecting the urgent demand for evidence-based guidance in this rapidly evolving field. A companion study extending this analysis through a smart cities lens further demonstrates his commitment to bridging urban innovation with governance practice. Together, these contributions position Bibri as an influential figure helping policymakers, administrators, and technologists navigate the complex challenges of responsible AI integration. For students and researchers interested in digital transformation, e-governance, or smart urban systems, Bibri's work offers an invaluable empirical foundation grounded in contemporary, real-world evidence.

Research Focus

Key Achievements

2
H-Index
2
Papers
75
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Unlocking Artificial Intelligence Adoption in Local Governments: Best Practice Lessons from Real-World Implementations
71 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: École Polytechnique Fédérale de Lausanne

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago