2026 Massimo Franceschetti: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	43	7770	7546	3357	3230	207	13932

Research.com Recognitions

2019 - Fellow of John Simon Guggenheim Memorial Foundation
2018 - IEEE Fellow For contributions to random wireless networks

Overview

Massimo Franceschetti is affiliated with the University of California, San Diego in the United States. Their research spans multiple fields, predominantly centered on Physics and Astronomy, Computer Science, and Engineering, with respective publication counts of 22, 16, and 14 in these areas.

The scientist's work encompasses a range of subfields including Statistical and Nonlinear Physics, Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, and Management Science and Operations Research. Their research topics cover Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Adversarial Robustness in Machine Learning, Advanced Bandit Algorithms Research, Fault Detection and Control Systems, Smart Grid Security and Resilience, and Network Time Synchronization Technologies.

Recent publications by Massimo Franceschetti and collaborators include:

Automated analysis of immunosequencing datasets reveals novel immunoglobulin D genes across diverse species (2020) in PLoS Computational Biology
The Many Facets of Information in Networked Estimation and Control (2022) in Annual Review of Control Robotics and Autonomous Systems
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification (2022) in Proceedings of the AAAI Conference on Artificial Intelligence
Non-Bayesian Social Learning on Random Digraphs With Aperiodically Varying Network Connectivity (2022) in IEEE Transactions on Control of Network Systems
Theoretical Analysis of the Radio Map Estimation Problem (2024) in IEEE Transactions on Wireless Communications

The frequent coauthors who have collaborated extensively with Franceschetti include Behrouz Touri, Anshuka Rangi, Rohit Parasnis, Mohammad Javad Khojasteh, and The Anh Han.

Publication venues where Massimo Franceschetti has consistently contributed include:

arXiv (Cornell University)
IEEE Transactions on Control of Network Systems
IEEE Transactions on Automatic Control
IEEE Transactions on Wireless Communications
PLoS Computational Biology

Among the honors received by Franceschetti are Fellow status from the John Simon Guggenheim Memorial Foundation awarded in 2019 and IEEE Fellow status awarded in 2018 for contributions to random wireless networks.

Best Publications

Kalman filtering with intermittent observations

B. Sinopoli;L. Schenato;M. Franceschetti;K. Poolla

3145
Citations
Stochastic geometry and random graphs for the analysis and design of wireless networks

M. Haenggi;J.G. Andrews;F. Baccelli;O. Dousse

1991
Citations
Foundations of Control and Estimation Over Lossy Networks

L. Schenato;B. Sinopoli;M. Franceschetti;K. Poolla

1639
Citations
Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory

M. Franceschetti;O. Dousse;D.N.C. Tse;P. Thiran

853
Citations
Detecting Emotional Contagion in Massive Social Networks

Lorenzo Coviello;Yunkyu Sohn;Adam D. I. Kramer;Cameron Marlow

631
Citations
Random Networks for Communication

Massimo Franceschetti;Ronald Meester

340
Citations
The Capacity of Wireless Networks: Information-Theoretic and Physical Limits

M. Franceschetti;M.D. Migliore;P. Minero

286
Citations
Data Rate Theorem for Stabilization Over Time-Varying Feedback Channels

P. Minero;M. Franceschetti;S. Dey;G.N. Nair

262
Citations
Optimal linear LQG control over lossy networks without packet acknowledgment

Bruno Sinopoli;Luca Schenato;Massimo Franceschetti;Kameshwar Poolla

245
Citations
Random networks for communication : from statistical physics to information systems

Massimo Franceschetti;Ronald Meester

243
Citations
Covering Algorithms, Continuum Percolation, and the Geometry of Wireless Networks.

Lorna Booth;Jehoshua Bruck;Massimo Franceschetti;Ronald Meester

174
Citations
A random walk model of wave propagation

M. Franceschetti;J. Bruck;L.J. Schulman

160
Citations
Wiretap Channel With Secure Rate-Limited Feedback

E. Ardestanizadeh;M. Franceschetti;T. Javidi;Young-Han Kim

156
Citations
Percolation in the signal to interference ratio graph

Olivier Dousse;Massimo Franceschetti;Nicolas Macris;Ronald Meester

149
Citations
On the throughput scaling of wireless relay networks

Olivier Dousse;Massimo Franceschetti;Patrick Thiran

140
Citations
Stabilization Over Markov Feedback Channels: The General Case

Paolo Minero;L. Coviello;M. Franceschetti

136
Citations
Lower bounds on data collection time in sensory networks

C. Florens;M. Franceschetti;R.J. McEliece

127
Citations
Network Coding for Computing: Cut-Set Bounds

R Appuswamy;M Franceschetti;N Karamchandani;K Zeger

123
Citations
Optimal control with unreliable communication: the TCP case

B. Sinopoli;L. Schenato;M. Franceschetti;K. Poolla

114
Citations
Continuum Percolation with Unreliable and Spread-Out Connections

Massimo Franceschetti;Lorna Booth;Matthew Cook;Ronald Meester

108
Citations
Closing the gap in the capacity of random wireless networks

M. Franceschetti;O. Dousse;D. Tse;P. Tiran

103
Citations
Closing the Gap in the Capacity of Wireless Networks

Massimo Franceschetti;Olivier Dousse;David N. C. Tse;Patrick Thiran

4
Citations

Frequent Co-Authors

Jehoshua Bruck California Institute of Technology

Andrea Massa University of Trento

Bruno Sinopoli Washington University in St. Louis

Luca Schenato University of Padua

Kameshwar Poolla University of California, Berkeley

Shankar Sastry University of California, Berkeley

Kenneth Zeger University of California, San Diego

Patrick Thiran École Polytechnique Fédérale de Lausanne

Subhrakanti Dey Uppsala University

David Tse Stanford University

External Links

Personal website of Massimo Franceschetti Google Scholar page

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