Giulio Tirabassi
Impact in
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- Complex Network Analysis Techniques
- stochastic dynamics and bifurcation
- Global and Planetary Change top 10%
- Ecosystem dynamics and resilience
- Climate variability and models
Papers in
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- Ecosystem dynamics and resilience 5
- Climate variability and models 3
- Co-authors
- Cristina Masoller (16 shared papers)Javier M. Buldú (1 shared paper)R. Sevilla-Escoboza (1 shared paper)Marcelo Barreiro (2 shared papers)Jan Viebahn (1 shared paper)Stefan C. Dekker (1 shared paper)Henk A. Dijkstra (1 shared paper)Vasilis Dakos (1 shared paper)
In The Last Decade
Giulio Tirabassi
18 papers receiving 207 citations
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 61
- Global and Planetary Change 105
- Cognitive Neuroscience 39
- Economics and Econometrics 48
- Atmospheric Science 27
Countries citing papers authored by Giulio Tirabassi
This map shows the geographic impact of Giulio Tirabassi'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 Giulio Tirabassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulio Tirabassi more than expected).
Fields of papers citing papers by Giulio Tirabassi
This network shows the impact of papers produced by Giulio Tirabassi. 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 Giulio Tirabassi. The network helps show where Giulio Tirabassi may publish in the future.
Co-authors
The 20 scholars most cited alongside Giulio Tirabassi, 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 | 2015 | 42 | |
| 2 | 2014 | 36 | |
| 3 | 2014 | 25 | |
| 4 | 2022 | 17 | |
| 5 | 2016 | 15 | |
| 6 | 2013 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2024 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 5 | |
| 15 | Increasing earthquake insurance coverage in California via parametric hedges | 2018 | 5 |
| 16 | 2023 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Giulio Tirabassi
Giulio Tirabassi is a scholar working on Global and Planetary Change, Statistical and Nonlinear Physics, Economics and Econometrics, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 20 papers that have together received 213 indexed citations. Recurring topics across this work include Ecosystem dynamics and resilience (5 papers), Neural dynamics and brain function (4 papers), Climate variability and models (3 papers), Complex Systems and Time Series Analysis (3 papers), Sustainability and Ecological Systems Analysis (2 papers), Photonic and Optical Devices (2 papers), Advanced Memory and Neural Computing (2 papers) and Insurance and Financial Risk Management (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (61 citations), Global and Planetary Change (105 citations), Cognitive Neuroscience (39 citations), Economics and Econometrics (48 citations) and Atmospheric Science (27 citations). Giulio Tirabassi has collaborated with scholars based in Spain, Brazil and Uruguay. Frequent co-authors include Cristina Masoller, Javier M. Buldú, R. Sevilla-Escoboza, Marcelo Barreiro, Jan Viebahn, Stefan C. Dekker, Henk A. Dijkstra, Vasilis Dakos, Max Rietkerk and Guillermo Franco. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Scientific Reports, Chaos Solitons & Fractals, APL Photonics 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.