Angelo Vulpiani

19.0k total citations · 5 hit papers
301 papers, 13.8k citations indexed

About

Angelo Vulpiani is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Economics and Econometrics. According to data from OpenAlex, Angelo Vulpiani has authored 301 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Statistical and Nonlinear Physics, 77 papers in Condensed Matter Physics and 61 papers in Economics and Econometrics. Recurrent topics in Angelo Vulpiani's work include Quantum chaos and dynamical systems (76 papers), Advanced Thermodynamics and Statistical Mechanics (73 papers) and Theoretical and Computational Physics (70 papers). Angelo Vulpiani is often cited by papers focused on Quantum chaos and dynamical systems (76 papers), Advanced Thermodynamics and Statistical Mechanics (73 papers) and Theoretical and Computational Physics (70 papers). Angelo Vulpiani collaborates with scholars based in Italy, France and United States. Angelo Vulpiani's co-authors include Roberto Benzi, Alfonso Sutera, Giovanni Paladin, G. Paladin, Giorgio Parisi, A. Crisanti, G. Boffetta, Andrea Puglisi, M. Falcioni and Massimo Cencini and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Angelo Vulpiani

291 papers receiving 13.2k citations

Hit Papers

The mechanism of stochastic resonance 1981 2026 1996 2011 1981 1987 1982 1982 1984 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelo Vulpiani Italy 49 8.3k 3.0k 2.3k 2.1k 2.0k 301 13.8k
Itamar Procaccia Israel 56 8.8k 1.1× 3.3k 1.1× 1.6k 0.7× 3.8k 1.8× 4.1k 2.0× 399 22.9k
Kurt Wiesenfeld United States 44 9.5k 1.2× 6.3k 2.1× 2.2k 1.0× 701 0.3× 4.3k 2.1× 143 20.6k
Roberto Benzi Italy 48 4.9k 0.6× 2.2k 0.7× 2.7k 1.2× 7.5k 3.6× 790 0.4× 199 15.1k
David Ruelle France 60 10.8k 1.3× 4.0k 1.3× 714 0.3× 1.0k 0.5× 3.1k 1.5× 186 20.5k
Harry L. Swinney United States 76 10.7k 1.3× 10.3k 3.4× 1.8k 0.8× 6.3k 3.0× 3.4k 1.7× 260 29.8k
John Guckenheimer United States 52 10.4k 1.3× 7.5k 2.5× 830 0.4× 1.8k 0.9× 651 0.3× 145 21.9k
Peter Grassberger Germany 66 10.8k 1.3× 3.9k 1.3× 1.2k 0.5× 728 0.3× 5.4k 2.7× 269 27.4k
J. B. Swift United States 33 5.9k 0.7× 4.3k 1.4× 411 0.2× 2.1k 1.0× 2.0k 1.0× 97 13.3k
Celso Grebogi United States 79 18.8k 2.3× 11.7k 3.9× 1.0k 0.4× 882 0.4× 1.3k 0.7× 437 26.1k
S. Ciliberto France 46 3.5k 0.4× 1.1k 0.4× 894 0.4× 2.4k 1.1× 998 0.5× 169 8.6k

Countries citing papers authored by Angelo Vulpiani

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Vulpiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Vulpiani

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Vulpiani. A scholar is included among the top collaborators of Angelo Vulpiani 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 Angelo Vulpiani. Angelo Vulpiani 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.
Cecconi, Fabio, et al.. (2025). Conceptual and practical approaches for investigating irreversible processes. New Journal of Physics. 27(4). 41201–41201. 3 indexed citations
2.
Gammaitoni, L. & Angelo Vulpiani. (2024). Prediction and Inference: From Models and Data to Artificial Intelligence. Foundations of Physics. 54(5).
3.
Cecconi, Fabio, et al.. (2023). Correlation, response and entropy approaches to allosteric behaviors: a critical comparison on the ubiquitin case. Physical Biology. 20(5). 56002–56002. 5 indexed citations
4.
Vulpiani, Angelo, et al.. (2023). Ergodic observables in non-ergodic systems: The example of the harmonic chain. Physica A Statistical Mechanics and its Applications. 630. 129273–129273. 8 indexed citations
5.
Cecconi, Fabio, Giulio Costantini, Alessandro Taloni, & Angelo Vulpiani. (2022). Probability distribution functions of sub- and superdiffusive systems. Physical Review Research. 4(2). 11 indexed citations
6.
Caprini, Lorenzo, et al.. (2021). Excess and loss of entropy production for different levels of coarse-graining. arXiv (Cornell University). 10 indexed citations
7.
Cecconi, Fabio, et al.. (2020). Understanding causation via correlations and linear response theory. Physical Review Research. 2(4). 28 indexed citations
8.
Cecconi, Fabio, et al.. (2019). Diffusive transport in highly corrugated channels. Physics Letters A. 383(11). 1084–1091. 3 indexed citations
9.
Cecconi, Fabio, et al.. (2018). The Role of Data in Model Building and Prediction: A Survey Through Examples. Entropy. 20(10). 807–807. 11 indexed citations
10.
Vulpiani, Angelo, et al.. (2017). Lois des dieux, des hommes et de la nature. SPIRE - Sciences Po Institutional REpository.
11.
Cecconi, Fabio, et al.. (2015). The role of the number of degrees of freedom and chaos in macroscopic irreversibility. Physica A Statistical Mechanics and its Applications. 442. 486–497. 15 indexed citations
12.
Vulpiani, Angelo, Fabio Cecconi, Massimo Cencini, Andrea Puglisi, & Davide Vergni. (2014). Large deviations in physics : the legacy of the law of large numbers. CERN Document Server (European Organization for Nuclear Research). 13 indexed citations
13.
Gradenigo, Giacomo, et al.. (2014). Fluctuations in partitioning systems with few degrees of freedom. Physical Review E. 89(4). 42105–42105. 7 indexed citations
14.
Cecconi, Fabio, D. del-Castillo-Negrete, M. Falcioni, & Angelo Vulpiani. (2003). The origin of diffusion: the case of non-chaotic systems. 21 indexed citations
15.
Abel, Mathieu, Antonio Celani, Davide Vergni, & Angelo Vulpiani. (2001). Front propagation in laminar flows. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(4). 46307–46307. 72 indexed citations
16.
Abel, Mathieu, Antonio Celani, Davide Vergni, & Angelo Vulpiani. (2000). Front propagation in cellular flow. arXiv (Cornell University). 1 indexed citations
17.
Puglisi, Andrea, Vittorio Loreto, Umberto Marini Bettolo Marconi, Alberto Petri, & Angelo Vulpiani. (1998). Clustering and Non-Gaussian Behavior in Granular Matter. Physical Review Letters. 81(18). 3848–3851. 144 indexed citations
18.
Paladin, G., et al.. (1996). Characterization of Chaos in random maps. 10 indexed citations
19.
Crisanti, A., M. Falcioni, Angelo Vulpiani, & G. Paladin. (1991). Lagrangian chaos: Transport, mixing and diffusion in fluids. Rivista Del Nuovo Cimento. 14(12). 1–80. 111 indexed citations
20.
Benzi, Roberto, Alfonso Sutera, & Angelo Vulpiani. (1981). The mechanism of stochastic resonance. Journal of Physics A Mathematical and General. 14(11). L453–L457. 2848 indexed citations breakdown →

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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