Francesco Bullo

30.2k total citations · 13 hit papers
350 papers, 20.6k citations indexed

About

Francesco Bullo is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Bullo has authored 350 papers receiving a total of 20.6k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Computer Networks and Communications, 125 papers in Control and Systems Engineering and 58 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Bullo's work include Distributed Control Multi-Agent Systems (94 papers), Optimization and Search Problems (78 papers) and Robotic Path Planning Algorithms (56 papers). Francesco Bullo is often cited by papers focused on Distributed Control Multi-Agent Systems (94 papers), Optimization and Search Problems (78 papers) and Robotic Path Planning Algorithms (56 papers). Francesco Bullo collaborates with scholars based in United States, Italy and China. Francesco Bullo's co-authors include Florian Dörfler, Jorge Cortés, Sonia Martı́nez, Fabio Pasqualetti, John W. Simpson-Porco, Andrew D. Lewis, Sonia Martínez, Emilio Frazzoli, Michael Chertkov and Richard M. Murray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and IEEE Transactions on Automatic Control.

In The Last Decade

Francesco Bullo

340 papers receiving 19.8k citations

Hit Papers

Coverage Control for Mobile Sensing Networks 2004 2026 2011 2018 2004 2013 2009 2014 2013 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesco Bullo United States 62 11.5k 8.6k 3.8k 2.8k 2.8k 350 20.6k
George J. Pappas United States 74 8.7k 0.8× 6.3k 0.7× 1.9k 0.5× 3.7k 1.3× 3.0k 1.1× 485 20.8k
Reza Olfati‐Saber United States 31 23.1k 2.0× 8.9k 1.0× 3.5k 0.9× 1.3k 0.5× 2.5k 0.9× 45 27.0k
A. Stephen Morse United States 71 13.5k 1.2× 16.9k 2.0× 2.7k 0.7× 1.1k 0.4× 2.1k 0.8× 264 27.9k
Magnus Egerstedt United States 51 9.1k 0.8× 6.1k 0.7× 1.3k 0.3× 2.9k 1.0× 1.9k 0.7× 449 15.2k
Xinping Guan China 66 9.6k 0.8× 9.3k 1.1× 5.4k 1.4× 1.6k 0.6× 1.5k 0.5× 994 20.2k
Hamid Reza Karimi China 94 10.3k 0.9× 21.0k 2.4× 3.4k 0.9× 1.0k 0.4× 1.7k 0.6× 956 30.6k
Randal W. Beard United States 52 16.4k 1.4× 8.7k 1.0× 2.1k 0.5× 4.9k 1.7× 7.8k 2.8× 260 24.2k
Lihua Xie Singapore 99 17.6k 1.5× 20.8k 2.4× 8.2k 2.2× 3.1k 1.1× 5.0k 1.8× 1.1k 40.8k
Jean-Jacques Slotine United States 47 5.0k 0.4× 18.9k 2.2× 3.1k 0.8× 2.1k 0.7× 3.3k 1.2× 177 29.1k
Ali Jadbabaie United States 47 11.6k 1.0× 4.4k 0.5× 1.3k 0.3× 1.1k 0.4× 1.3k 0.5× 238 15.6k

Countries citing papers authored by Francesco Bullo

Since Specialization
Citations

This map shows the geographic impact of Francesco Bullo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesco Bullo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Bullo more than expected).

Fields of papers citing papers by Francesco Bullo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Bullo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesco Bullo. The network helps show where Francesco Bullo may publish in the future.

Co-authorship network of co-authors of Francesco Bullo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Bullo. A scholar is included among the top collaborators of Francesco Bullo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Bullo. Francesco Bullo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Davydov, A. S., et al.. (2025). Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach. IEEE Transactions on Automatic Control. 70(11). 7446–7460.
2.
Yan, Rui, et al.. (2024). Multiplayer Homicidal Chauffeur reach-avoid games: A pursuit enclosure function approach. Automatica. 167. 111770–111770. 4 indexed citations
3.
Davydov, Alexander A., Anton V. Proskurnikov, & Francesco Bullo. (2024). Non-Euclidean Contraction Analysis of Continuous-Time Neural Networks. IEEE Transactions on Automatic Control. 70(1). 235–250. 3 indexed citations
4.
Davydov, A. S. & Francesco Bullo. (2024). Perspectives on Contractivity in Control, Optimization, and Learning. IEEE Control Systems Letters. 8. 2087–2098.
5.
Davydov, A. S., et al.. (2024). On Weakly Contracting Dynamics for Convex Optimization. IEEE Control Systems Letters. 8. 1745–1750. 1 indexed citations
6.
Bullo, Francesco, et al.. (2023). Dual Seminorms, Ergodic Coefficients and Semicontraction Theory. IEEE Transactions on Automatic Control. 69(5). 3040–3053. 5 indexed citations
7.
Davydov, A. S., et al.. (2023). Euclidean Contractivity of Neural Networks With Symmetric Weights. IEEE Control Systems Letters. 7. 1724–1729. 6 indexed citations
8.
Bullo, Francesco, et al.. (2022). Predictive models for human–AI nexus in group decision making. Annals of the New York Academy of Sciences. 1514(1). 70–81. 7 indexed citations
9.
Jia, Peng, et al.. (2021). Social Power Evolution in Influence Networks With Stubborn Individuals. IEEE Transactions on Automatic Control. 67(2). 574–588. 30 indexed citations
10.
Singh, Ambuj K., et al.. (2020). The 1995-2018 global evolution of the network of amicable and hostile relations among nation-states. Communications Physics. 3(1). 4 indexed citations
11.
Mei, Wenjun, Francesco Bullo, Ge Chen, & Florian Dörfler. (2019). Occam's Razor in Opinion Dynamics: The Weighted-Median Influence Process. arXiv (Cornell University). 1 indexed citations
12.
Friedkin, Noah E., et al.. (2019). Positive contagion and the macrostructures of generalized balance. Network Science. 7(4). 445–458. 3 indexed citations
13.
Friedkin, Noah E., et al.. (2019). Mathematical Structures in Group Decision-Making on Resource Allocation Distributions. Scientific Reports. 9(1). 1377–1377. 20 indexed citations
14.
Mei, Wenjun, Noah E. Friedkin, Kyle Lewis, & Francesco Bullo. (2017). Dynamic Models of Appraisal Networks Explaining Collective Learning. IEEE Transactions on Automatic Control. 63(9). 2898–2912. 11 indexed citations
15.
Pasqualetti, Fabio, Sandro Zampieri, & Francesco Bullo. (2013). Controllability Metrics and Algorithms for Complex Networks.. arXiv (Cornell University). 5 indexed citations
16.
Simpson-Porco, John W., Florian Dörfler, & Francesco Bullo. (2012). Droop-Controlled Inverters are Kuramoto Oscillators. arXiv (Cornell University). 1 indexed citations
17.
Bullo, Francesco, Jorge Cortés, & Sonia Martínez. (2009). Distributed Control of Robotic Networks. Princeton University Press eBooks. 1071 indexed citations breakdown →
18.
Savla, Ketan, Emilio Frazzoli, & Francesco Bullo. (2006). On the Dubins Traveling Salesperson Problems: novel approximation algorithms. 15 indexed citations
19.
Notarstefano, Giuseppe, Ketan Savla, Francesco Bullo, & Ali Jadbabaie. (2006). Maintaining limited-range connectivity among second-order agents. 6 pp.–6 pp.. 95 indexed citations
20.
Bullo, Francesco & Andrew D. Lewis. (2005). Geometric control of mechanical systems : modeling, analysis, and design for simple mechanical control systems. CERN Document Server (European Organization for Nuclear Research). 253 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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