Ivan Bonamassa
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Complex Network Analysis Techniques 17
- Opinion Dynamics and Social Influence 9
- Advanced Thermodynamics and Statistical Mechanics 2
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- Theoretical and Computational Physics 7
- Co-authors
- Shlomo Havlin (12 shared papers)Stefano Boccaletti (5 shared papers)Michael M. Danziger (3 shared papers)Charo I. del Genio (1 shared paper)Jesús Gómez‐Gardeñes (1 shared paper)Dmitri Krioukov (1 shared paper)Marián Boguñá (1 shared paper)M. Ángeles Serrano (1 shared paper)
- Journals
- Nature Communications (3 papers)Physical Review Letters (3 papers)Nature Physics (2 papers)Scientific Reports (2 papers)Physical review. E (1 paper)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Ivan Bonamassa
19 papers receiving 459 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 309
- Computer Networks and Communications 165
- Cognitive Neuroscience 81
- Computational Theory and Mathematics 65
- Condensed Matter Physics 34
Countries citing papers authored by Ivan Bonamassa
This map shows the geographic impact of Ivan Bonamassa'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 Ivan Bonamassa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Bonamassa more than expected).
Fields of papers citing papers by Ivan Bonamassa
This network shows the impact of papers produced by Ivan Bonamassa. 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 Ivan Bonamassa. The network helps show where Ivan Bonamassa may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Bonamassa, 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 | 2021 | 131 | |
| 2 | 2016 | 105 | |
| 3 | 2018 | 96 | |
| 4 | 2016 | 27 | |
| 5 | 2019 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 |
About Ivan Bonamassa
Ivan Bonamassa is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Global and Planetary Change, Computer Networks and Communications and Mathematical Physics, having authored 19 papers that have together received 462 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (9 papers), Theoretical and Computational Physics (7 papers), Ecosystem dynamics and resilience (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Stochastic processes and statistical mechanics (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (309 citations), Computer Networks and Communications (165 citations), Cognitive Neuroscience (81 citations), Computational Theory and Mathematics (65 citations) and Condensed Matter Physics (34 citations). Ivan Bonamassa has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Shlomo Havlin, Stefano Boccaletti, Michael M. Danziger, Charo I. del Genio, Jesús Gómez‐Gardeñes, Dmitri Krioukov, Marián Boguñá, M. Ángeles Serrano, Manlio De Domenico and Zonghua Liu. Their work appears in journals such as Nature Communications, Physical Review Letters, Nature Physics, Scientific Reports and Physical review. E.
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.