Massimo Franceschetti

University of California San Diego

Papers

3

Total Citations

94

H-Index

3

About

Massimo Franceschetti is a leading figure in the intersection of information theory, networked control systems, and wireless communications. His work fundamentally addresses how information flows through complex, interconnected systems—from autonomous vehicles and smart energy grids to robotic networks. His seminal paper, "Elements of Information Theory for Networked Control Systems" (2013, 64 citations), provides a foundational framework for understanding the fundamental limits of control over communication channels. More recently, Franceschetti has advanced the theoretical underpinnings of radio map estimation (2024, 17 citations), a critical technology for predicting signal strength across geographic areas, enabling smarter spectrum management and wireless network optimization. His 2022 work, "The Many Facets of Information in Networked Estimation and Control" (13 citations), further explores how different notions of information—beyond traditional Shannon theory—govern the performance of feedback loops closed over networks. Through these contributions, Franceschetti has shaped how engineers design resilient, efficient systems where sensing, communication, and control are deeply intertwined, making him a key thinker for anyone studying the future of cyber-physical systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
94
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Elements of Information Theory for Networked Control Systems
64 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of California San Diego

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago