Paolo Frasca
- Computer Networks and Communications top 0.5%
- Control and Systems Engineering top 1%
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Ruggero CarliFabio FagnaniClaudio De PersisFrancesca CeragioliSandro ZampieriSimone BaldiFrancesco BulloChiara Ravazzi
- Topics
- Distributed Control Multi-Agent Systems (57 papers)Complex Network Analysis Techniques (27 papers)Opinion Dynamics and Social Influence (25 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsControl and Systems Engineering
- Partner nations
- FranceItalyNetherlands
In The Last Decade
Paolo Frasca
97 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 1.4k
- Control and Systems Engineering 708
- Statistical and Nonlinear Physics 402
- Electrical and Electronic Engineering 217
- Artificial Intelligence 146
Countries citing papers authored by Paolo Frasca
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 27 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 10 | |
| 17 | 51 | |
| 18 | Convergence results in continuous-time quantized consensus | 1 |
| 19 | 14 | |
| 20 | Quantized average consensus: Discontinuities and hysteresis | 1 |
About Paolo Frasca
Paolo Frasca is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Transportation, having authored 105 papers that have together received 2.1k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (57 papers), Complex Network Analysis Techniques (27 papers) and Opinion Dynamics and Social Influence (25 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Statistical and Nonlinear Physics (402 citations) and Control and Systems Engineering (708 citations). Paolo Frasca has collaborated with scholars based in France, Italy and Netherlands. Frequent 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. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Journal of Theoretical Biology.
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.