Giovanni Petri
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 15
- Opinion Dynamics and Social Influence 8
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- Topological and Geometric Data Analysis 15
- Modeling and Simulation top 2%
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 13
- Neural dynamics and brain function 9
- Transportation top 5%
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- Advanced Neuroimaging Techniques and Applications 8
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- Evolutionary Game Theory and Cooperation 7
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- Complex Systems and Time Series Analysis 6
Giovanni Petri
52 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Statistical and Nonlinear Physics 1.0k
- Computational Theory and Mathematics 564
- Modeling and Simulation 159
- Cognitive Neuroscience 564
- Transportation 109
Countries citing papers authored by Giovanni Petri
This map shows the geographic impact of Giovanni Petri'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 Giovanni Petri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Petri more than expected).
Fields of papers citing papers by Giovanni Petri
This network shows the impact of papers produced by Giovanni Petri. 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 Giovanni Petri. The network helps show where Giovanni Petri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giovanni Petri, 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 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 30 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 47 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 65 | |
| 14 | 2022 | 38 | |
| 15 | 2022 | 32 | |
| 16 | 2022 | 19 | |
| 17 | 2022 | 4 | |
| 18 | The physics of higher-order interactions in complex systemsbreakdown → | 2021 | 520 |
| 19 | 2017 | 154 | |
| 20 | 2013 | 31 |
About Giovanni Petri
Giovanni Petri is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Cognitive Neuroscience, having authored 59 papers that have together received 2.7k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (15 papers), Complex Network Analysis Techniques (15 papers), Functional Brain Connectivity Studies (13 papers), Neural dynamics and brain function (9 papers), Opinion Dynamics and Social Influence (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Evolutionary Game Theory and Cooperation (7 papers) and Complex Systems and Time Series Analysis (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Computational Theory and Mathematics (564 citations) and Modeling and Simulation (159 citations). Giovanni Petri has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Francesco Vaccarino, Alain Barrat, Alice Patania, Paul Expert, Samuel V. Scarpino, Federico Battiston, Vito Latora, Iacopo Iacopini, Federico Turkheimer and Angkoon Phinyomark. Their work appears in journals such as Science, 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.