Raffaella Burioni
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 15
- Opinion Dynamics and Social Influence 14
- stochastic dynamics and bifurcation 13
- Condensed Matter Physics top 2%
- Theoretical and Computational Physics 45
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 30
- Acoustics and Ultrasonics top 5%
- Modeling and Simulation top 2%
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- Nonlinear Dynamics and Pattern Formation 14
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- Neural dynamics and brain function 14
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- Quantum many-body systems 12
Raffaella Burioni
107 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Statistical and Nonlinear Physics 842
- Condensed Matter Physics 497
- Mathematical Physics 303
- Acoustics and Ultrasonics 29
- Modeling and Simulation 130
Countries citing papers authored by Raffaella Burioni
This map shows the geographic impact of Raffaella Burioni'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 Raffaella Burioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaella Burioni more than expected).
Fields of papers citing papers by Raffaella Burioni
This network shows the impact of papers produced by Raffaella Burioni. 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 Raffaella Burioni. The network helps show where Raffaella Burioni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raffaella Burioni, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 27 | |
| 7 | The broad edge of synchronisation: Griffiths effects and collective phenomena in brain networks | 2021 | 1 |
| 8 | 2018 | 111 | |
| 9 | 2017 | 66 | |
| 10 | 2016 | 6 | |
| 11 | 2015 | 23 | |
| 12 | 2014 | 9 | |
| 13 | 2014 | 14 | |
| 14 | 2011 | 1 | |
| 15 | 2009 | 2 | |
| 16 | 2007 | 1 | |
| 17 | 2007 | 10 | |
| 18 | 2006 | 30 | |
| 19 | 2003 | 7 | |
| 20 | 1999 | 21 |
About Raffaella Burioni
Raffaella Burioni is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Condensed Matter Physics, having authored 110 papers that have together received 1.7k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (45 papers), Stochastic processes and statistical mechanics (30 papers), Complex Network Analysis Techniques (15 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Neural dynamics and brain function (14 papers), Opinion Dynamics and Social Influence (14 papers), stochastic dynamics and bifurcation (13 papers) and Quantum many-body systems (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (842 citations), Condensed Matter Physics (497 citations) and Mathematical Physics (303 citations). Raffaella Burioni has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Davide Cassi, A. Vezzani, Elena Agliari, Miguel A. Muñoz, Serena Di Santo, Pablo Villegas, P. Buonsante, Angelo Vulpiani, Sandro Wimberger and Marc Mézard. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.