Mario di Bernardo
- Statistical and Nonlinear Physics top 0.05%
- Chaos control and synchronization 58
- Quantum chaos and dynamical systems 37
- Geometry and Topology top 0.1%
- Advanced Differential Equations and Dynamical Systems 46
- Computer Networks and Communications top 0.1%
- Nonlinear Dynamics and Pattern Formation 123
- Neural Networks Stability and Synchronization 67
- Distributed Control Multi-Agent Systems 48
- Control and Systems Engineering top 0.2%
- Adaptive Control of Nonlinear Systems 22
- Modeling and Simulation top 1%
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- Gene Regulatory Network Analysis 68
- Co-authors
- Alan ChampneysChris BuddPietro De LellisStefania SantiniPiotr KowalczykF. GarofaloFrancesco VascaGiovanni Russo
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Mario di Bernardo
347 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Statistical and Nonlinear Physics 4.0k
- Geometry and Topology 1.9k
- Computer Networks and Communications 4.9k
- Control and Systems Engineering 3.6k
- Modeling and Simulation 285
Countries citing papers authored by Mario di Bernardo
This map shows the geographic impact of Mario di Bernardo'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 Mario di Bernardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario di Bernardo more than expected).
Fields of papers citing papers by Mario di Bernardo
This network shows the impact of papers produced by Mario di Bernardo. 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 Mario di Bernardo. The network helps show where Mario di Bernardo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario di Bernardo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 35 | |
| 13 | 2020 | 124 | |
| 14 | 2018 | 38 | |
| 15 | 2017 | 7 | |
| 16 | 2016 | 45 | |
| 17 | 2014 | 94 | |
| 18 | 2007 | 11 | |
| 19 | Synchronizability of degree correlated networks | 2005 | 9 |
| 20 | A Competitive Model of User Behaviour for Resource Allocation in Congested Networks | 2004 | 1 |
About Mario di Bernardo
Mario di Bernardo is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Geometry and Topology, having authored 362 papers that have together received 12.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (123 papers), Gene Regulatory Network Analysis (68 papers), Neural Networks Stability and Synchronization (67 papers), Chaos control and synchronization (58 papers), Distributed Control Multi-Agent Systems (48 papers), Advanced Differential Equations and Dynamical Systems (46 papers), Quantum chaos and dynamical systems (37 papers) and Adaptive Control of Nonlinear Systems (22 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.0k citations), Geometry and Topology (1.9k citations) and Computer Networks and Communications (4.9k citations). Mario di Bernardo has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Alan Champneys, Chris Budd, Pietro De Lellis, Stefania Santini, Piotr Kowalczyk, F. Garofalo, Francesco Vasca, Giovanni Russo, Maurizio Porfiri and Arne Nordmark. Their work appears in journals such as Cell, Physical Review Letters and Nature Communications.
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.