Sandro Vaienti

2.6k total citations
94 papers, 1.5k citations indexed

About

Sandro Vaienti is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Sandro Vaienti has authored 94 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Mathematical Physics, 62 papers in Statistical and Nonlinear Physics and 18 papers in Economics and Econometrics. Recurrent topics in Sandro Vaienti's work include Mathematical Dynamics and Fractals (81 papers), Quantum chaos and dynamical systems (43 papers) and Chaos control and synchronization (32 papers). Sandro Vaienti is often cited by papers focused on Mathematical Dynamics and Fractals (81 papers), Quantum chaos and dynamical systems (43 papers) and Chaos control and synchronization (32 papers). Sandro Vaienti collaborates with scholars based in France, Italy and United States. Sandro Vaienti's co-authors include Benoît Saussol, G. Turchetti, Carlangelo Liverani, Nicolai Haydn, Davide Faranda, Jorge Milhazes Freitas, Serge Troubetzkoy, Jean-Michel Ghez, Valerio Lucarini and D. Bessis and has published in prestigious journals such as Physical Review Letters, Physical Review A and Communications in Mathematical Physics.

In The Last Decade

Sandro Vaienti

92 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sandro Vaienti France 20 1.0k 813 330 184 159 94 1.5k
Yuri Kifer Israel 23 1.1k 1.0× 637 0.8× 220 0.7× 152 0.8× 128 0.8× 90 1.7k
Carlangelo Liverani Italy 22 1.6k 1.5× 1.2k 1.5× 99 0.3× 192 1.0× 155 1.0× 61 1.9k
Konstantin Khanin Russia 21 781 0.8× 578 0.7× 75 0.2× 89 0.5× 285 1.8× 72 1.6k
Gerhard Keller Germany 26 1.7k 1.7× 1.3k 1.6× 324 1.0× 297 1.6× 196 1.2× 69 2.4k
Yakov Pesin United States 20 2.2k 2.1× 1.6k 1.9× 267 0.8× 248 1.3× 212 1.3× 54 2.8k
Luís Barreira Portugal 25 1.9k 1.8× 1.3k 1.6× 216 0.7× 300 1.6× 109 0.7× 238 3.1k
Viviane Baladi France 18 871 0.9× 639 0.8× 55 0.2× 97 0.5× 60 0.4× 33 1.1k
I. P. Cornfeld 2 1.2k 1.2× 789 1.0× 109 0.3× 167 0.9× 110 0.7× 2 2.0k
Ya. B. Pesin United States 13 1.0k 1.0× 1.0k 1.2× 162 0.5× 279 1.5× 69 0.4× 25 1.6k
F. Ledrappier France 13 760 0.7× 547 0.7× 69 0.2× 108 0.6× 62 0.4× 19 973

Countries citing papers authored by Sandro Vaienti

Since Specialization
Citations

This map shows the geographic impact of Sandro Vaienti'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 Sandro Vaienti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandro Vaienti more than expected).

Fields of papers citing papers by Sandro Vaienti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandro Vaienti. 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 Sandro Vaienti. The network helps show where Sandro Vaienti may publish in the future.

Co-authorship network of co-authors of Sandro Vaienti

This figure shows the co-authorship network connecting the top 25 collaborators of Sandro Vaienti. A scholar is included among the top collaborators of Sandro Vaienti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandro Vaienti. Sandro Vaienti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Haydn, Nicolai, et al.. (2025). Extreme Value Theory with Spectral Techniques: application to a simple attractor. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
2.
Froyland, Gary, et al.. (2025). Compound Poisson statistics for dynamical systems via spectral perturbation. Nonlinearity. 38(8). 85023–85023.
3.
Haydn, Nicolai, et al.. (2024). Compound Poisson distributions for random dynamical systems using probabilistic approximations. Stochastic Processes and their Applications. 179. 104511–104511. 2 indexed citations
4.
Lillo, Fabrizio, et al.. (2023). Analysis of Bank Leverage via Dynamical Systems and Deep Neural Networks. SIAM Journal on Financial Mathematics. 14(2). 598–643.
5.
Alberti, Tommaso, Davide Faranda, Reik V. Donner, et al.. (2021). Small-scale Induced Large-scale Transitions in Solar Wind Magnetic Field. The Astrophysical Journal Letters. 914(1). L6–L6. 8 indexed citations
6.
Faranda, Davide, et al.. (2020). Extreme value distributions of observation recurrences. Nonlinearity. 34(1). 118–163. 9 indexed citations
7.
Dragičević, Davor, et al.. (2019). A spectral approach for quenched limit theorems for random hyperbolic dynamical systems. Transactions of the American Mathematical Society. 373(1). 629–664. 14 indexed citations
8.
Freitas, Ana Cristina Moreira, et al.. (2019). Point processes of non stationary sequences generated by sequential and\n random dynamical systems. arXiv (Cornell University). 5 indexed citations
9.
Melbourne, Ian, et al.. (2019). Sharp Statistical Properties for a Family of Multidimensional\n NonMarkovian Nonconformal Intermittent Maps. arXiv (Cornell University). 1 indexed citations
10.
Hu, Huyi & Sandro Vaienti. (2017). Lower bounds for the decay of correlations in non-uniformly expanding maps. Ergodic Theory and Dynamical Systems. 39(7). 1936–1970. 5 indexed citations
11.
Freitas, Ana Cristina Moreira, Jorge Milhazes Freitas, Mike Todd, & Sandro Vaienti. (2016). Rare events for the Manneville–Pomeau map. Stochastic Processes and their Applications. 126(11). 3463–3479. 16 indexed citations
12.
Turchetti, G., et al.. (2015). Errors, Correlations and Fidelity for noisy Hamilton flows. Theory and\n numerical examples. arXiv (Cornell University). 3 indexed citations
13.
Freitas, Ana Cristina Moreira, Jorge Milhazes Freitas, & Sandro Vaienti. (2015). Extreme Value Laws for non stationary processes generated by sequential\n and random dynamical systems. arXiv (Cornell University). 12 indexed citations
14.
Freitas, Jorge Milhazes, et al.. (2014). Laws of rare events for deterministic and random dynamical systems. Transactions of the American Mathematical Society. 367(11). 8229–8278. 36 indexed citations
15.
Faranda, Davide, Xavier Leoncini, & Sandro Vaienti. (2014). Mixing properties in the advection of passive tracers via recurrences and extreme value theory. Physical Review E. 89(5). 52901–52901. 1 indexed citations
16.
Bahsoun, Wael & Sandro Vaienti. (2013). Escape rates formulae and metastablilty for randomly perturbed maps. Figshare. 11 indexed citations
17.
Alves, José F., Jorge Milhazes Freitas, Stefano Luzzatto, & Sandro Vaienti. (2011). From rates of mixing to recurrence times via large deviations. Advances in Mathematics. 228(2). 1203–1236. 34 indexed citations
18.
Haydn, Nicolai & Sandro Vaienti. (2008). The compound Poisson distribution and return times in dynamical systems. Probability Theory and Related Fields. 144(3-4). 517–542. 32 indexed citations
19.
Mantica, Giorgio, et al.. (2002). Multifractal Properties of Return Time Statistics. Physical Review Letters. 88(22). 224502–224502. 28 indexed citations
20.
Vaienti, Sandro. (1988). Generalised spectra for the dimensions of strange sets. Journal of Physics A Mathematical and General. 21(10). 2313–2320. 17 indexed citations

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.

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