Paolo Frasca

3.3k total citations · 1 hit paper
105 papers, 2.1k citations indexed

About

Paolo Frasca is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, Paolo Frasca has authored 105 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Networks and Communications, 31 papers in Statistical and Nonlinear Physics and 15 papers in Control and Systems Engineering. Recurrent topics in Paolo Frasca's work include Distributed Control Multi-Agent Systems (57 papers), Complex Network Analysis Techniques (27 papers) and Opinion Dynamics and Social Influence (25 papers). Paolo Frasca is often cited by papers focused on Distributed Control Multi-Agent Systems (57 papers), Complex Network Analysis Techniques (27 papers) and Opinion Dynamics and Social Influence (25 papers). Paolo Frasca collaborates with scholars based in France, Italy and Netherlands. Paolo Frasca's co-authors include Ruggero Carli, Fabio Fagnani, Claudio De Persis, Francesca Ceragioli, Sandro Zampieri, Simone Baldi, Francesco Bullo, Chiara Ravazzi, Roberto Tempo and Hideaki Ishii and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Journal of Theoretical Biology.

In The Last Decade

Paolo Frasca

97 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Discontinuities and hysteresis in quantized average consensus

2011 264 citations Francesca Ceragioli, Claudio De Persis et al. profile →

Peers

Paolo Frasca

CNC

CSE

SNP

EEE

AI

Wenwu Yu China

M. Kanat Camlibel Netherlands

Yuanqing Wu China

Harry L. Trentelman Netherlands

Anton A. Stoorvogel Netherlands

Jian Guo China

Giuseppe Notarstefano Italy

Weiguo Xia China

Cameron Nowzari United States

Tyler Summers United States

Wenwu Yu China

Paolo Frasca

951 ×0.7

CNC

858 ×1.2

CSE

115 ×0.3

SNP

244 ×1.1

EEE

216 ×1.5

AI

Citations per year, relative to Paolo Frasca Paolo Frasca (= 1×) peers Wenwu Yu

Countries citing papers authored by Paolo Frasca

Since Specialization

Citations

This map shows the geographic impact of Paolo Frasca'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 Paolo Frasca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Frasca more than expected).

Fields of papers citing papers by Paolo Frasca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paolo Frasca. 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 Paolo Frasca. The network helps show where Paolo Frasca may publish in the future.

Co-authorship network of co-authors of Paolo Frasca

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Frasca. A scholar is included among the top collaborators of Paolo Frasca 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 Paolo Frasca. Paolo Frasca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Ravazzi, Chiara, et al.. (2026). Optimal Policy Design for Repeated Decision-Making under Social Influence. IEEE Transactions on Automatic Control. 1–15.

2.

Postoyan, Romain, et al.. (2024). Hybrid and Networked Dynamical Systems. Lecture notes in control and information sciences. 2 indexed citations

3.

Frasca, Paolo, et al.. (2024). SIS Epidemics on Open Networks: A Replacement-Based Approximation. SPIRE - Sciences Po Institutional REpository. 1602–1608. 1 indexed citations

4.

Ceragioli, Francesca, et al.. (2024). Disagreement, Limit Cycles and Zeno Solutions in Continuous Opinion Dynamics with Binary Actions. SPIRE - Sciences Po Institutional REpository. 2362–2367. 1 indexed citations

5.

Astolfi, Daniele, et al.. (2023). Enhancing deep reinforcement learning with integral action to control tokamak safety factor. Fusion Engineering and Design. 196. 114008–114008. 4 indexed citations

6.

Kibangou, Alain Y., et al.. (2023). Modeling the Impact of Route Recommendations in Road Traffic. IFAC-PapersOnLine. 56(2). 4179–4185. 1 indexed citations

7.

Liu, Di, Sebastian Mair, Kang Yang, et al.. (2023). Resilience in Platoons of Cooperative Heterogeneous Vehicles: Self-Organization Strategies and Provably-Correct Design. IEEE Transactions on Intelligent Vehicles. 9(1). 2262–2275. 12 indexed citations

8.

Wit, Carlos Canudas de, et al.. (2021). A Continuation Method for Large-Scale Modeling and Control: from ODEs to\n PDE, a Round Trip. arXiv (Cornell University). 18 indexed citations

9.

Frasca, Paolo, et al.. (2021). Mitigating COVID-19 outbreaks in workplaces and schools by hybrid telecommuting. PLoS Computational Biology. 17(8). e1009264–e1009264. 14 indexed citations

10.

Hendrickx, Julien M., et al.. (2021). Random coordinate descent algorithm for open multi-agent systems with complete topology and homogeneous agents. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations

11.

Venturini, Tommaso, et al.. (2021). Junk News Bubbles: Modelling the Rise and Fall of Attention in Online Arenas (PREPRINT VERSION). HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations

12.

Liu, Di, et al.. (2020). Cyclic Communication in Adaptive Strategies to Platooning: The Case of Synchronized Merging. IEEE Transactions on Intelligent Vehicles. 6(3). 490–500. 27 indexed citations

13.

Frasca, Paolo, et al.. (2020). Subgraph Detection for Average Detectability of LTI Systems. IEEE Transactions on Network Science and Engineering. 7(4). 2787–2798. 2 indexed citations

14.

Como, Giacomo, Paolo Frasca, & Serdar Yüksel. (2020). Technical Committee on Networks and Communication Systems [Technical Activities]. IEEE Control Systems. 40(2). 19–22. 1 indexed citations

15.

Frasca, Paolo, et al.. (2018). Large-Scale Network Reduction Towards Scale-Free Structure. IEEE Transactions on Network Science and Engineering. 6(4). 711–723. 10 indexed citations

16.

Baldi, Simone, et al.. (2018). Platooning merging maneuvers in the presence of parametric uncertainty<sup>⁎</sup>. University of Twente Research Information. 10 indexed citations

17.

Frasca, Paolo, Chiara Ravazzi, Roberto Tempo, & Hideaki Ishii. (2013). Gossips and Prejudices: Ergodic Randomized Dynamics in Social Networks. IFAC Proceedings Volumes. 46(27). 212–219. 51 indexed citations

18.

Frasca, Paolo. (2011). Convergence results in continuous-time quantized consensus. arXiv (Cornell University). 1 indexed citations

19.

Tosin, Andrea & Paolo Frasca. (2011). Existence and approximation of probability measure solutions to models of collective behaviors. Networks and Heterogeneous Media. 6(3). 561–596. 14 indexed citations

20.

Ceragioli, Francesca, Claudio De Persis, & Paolo Frasca. (2010). Quantized average consensus: Discontinuities and hysteresis. arXiv (Cornell University). 1 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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