Michele Buzzicotti

842 total citations
28 papers, 413 citations indexed

About

Michele Buzzicotti is a scholar working on Computational Mechanics, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Michele Buzzicotti has authored 28 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mechanics, 8 papers in Atmospheric Science and 7 papers in Global and Planetary Change. Recurrent topics in Michele Buzzicotti's work include Fluid Dynamics and Turbulent Flows (19 papers), Meteorological Phenomena and Simulations (8 papers) and Wind and Air Flow Studies (4 papers). Michele Buzzicotti is often cited by papers focused on Fluid Dynamics and Turbulent Flows (19 papers), Meteorological Phenomena and Simulations (8 papers) and Wind and Air Flow Studies (4 papers). Michele Buzzicotti collaborates with scholars based in Italy, United States and United Kingdom. Michele Buzzicotti's co-authors include Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, K. Gustavsson, Stephen M. Griffies, Hussein Aluie, Samriddhi Sankar Ray, Alessandra S. Lanotte, Kartik P. Iyer and Miguel D. Bustamante and has published in prestigious journals such as Physical Review Letters, Nature Communications and Journal of Fluid Mechanics.

In The Last Decade

Michele Buzzicotti

26 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Buzzicotti Italy 11 228 120 103 80 61 28 413
Cristian C. Lalescu United States 9 236 1.0× 54 0.5× 48 0.5× 53 0.7× 39 0.6× 19 446
Gerardo Ruíz Chavarria Mexico 10 277 1.2× 89 0.7× 71 0.7× 132 1.6× 19 0.3× 16 474
Hayder Salman United Kingdom 12 108 0.5× 71 0.6× 111 1.1× 63 0.8× 37 0.6× 31 425
Jean-Philippe Laval France 18 660 2.9× 94 0.8× 147 1.4× 146 1.8× 155 2.5× 53 883
W. P. Dannevik United States 9 169 0.7× 31 0.3× 136 1.3× 95 1.2× 18 0.3× 22 425
Anikesh Pal India 10 215 0.9× 19 0.2× 112 1.1× 63 0.8× 39 0.6× 24 363
Charles Van Atta United States 7 366 1.6× 61 0.5× 130 1.3× 165 2.1× 30 0.5× 12 591
Nianzheng Cao United States 12 534 2.3× 57 0.5× 97 0.9× 130 1.6× 106 1.7× 17 714
Richard Kerswell United States 4 470 2.1× 40 0.3× 71 0.7× 135 1.7× 71 1.2× 7 691
Kartik P. Iyer United States 11 232 1.0× 33 0.3× 86 0.8× 89 1.1× 15 0.2× 17 330

Countries citing papers authored by Michele Buzzicotti

Since Specialization
Citations

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

Fields of papers citing papers by Michele Buzzicotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Buzzicotti

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Buzzicotti. A scholar is included among the top collaborators of Michele Buzzicotti 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 Michele Buzzicotti. Michele Buzzicotti 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.
Buzzicotti, Michele, et al.. (2025). Generation of Cosmic-Ray Trajectories by a Diffusion Model Trained on Test Particles in 3D Magnetohydrodynamic Turbulence. The Astrophysical Journal Supplement Series. 277(2). 48–48. 1 indexed citations
2.
Buzzicotti, Michele, et al.. (2024). Teaching to extract spectral densities from lattice correlators to a broad audience of learning-machines. The European Physical Journal C. 84(1). 4 indexed citations
3.
Griffies, Stephen M., Michele Buzzicotti, Hussein Aluie, et al.. (2024). A Scale‐Dependent Analysis of the Barotropic Vorticity Budget in a Global Ocean Simulation. Journal of Advances in Modeling Earth Systems. 16(6). 2 indexed citations
4.
Biferale, Luca, et al.. (2024). Synthetic Lagrangian turbulence by generative diffusion models. Nature Machine Intelligence. 6(4). 393–403. 27 indexed citations
5.
Buzzicotti, Michele, et al.. (2024). Generative diffusion models for synthetic trajectories of heavy and light particles in turbulence. International Journal of Multiphase Flow. 181. 104980–104980. 6 indexed citations
6.
Buzzicotti, Michele, et al.. (2023). Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks. Journal of Fluid Mechanics. 971. 18 indexed citations
7.
Buzzicotti, Michele, et al.. (2023). Spatio‐Temporal Coarse‐Graining Decomposition of the Global Ocean Geostrophic Kinetic Energy. Journal of Advances in Modeling Earth Systems. 15(6). 15 indexed citations
8.
Leoni, Patricio Clark Di, et al.. (2023). Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using Physics-Informed Neural Networks. The European Physical Journal E. 46(3). 16–16. 8 indexed citations
9.
Buzzicotti, Michele, et al.. (2023). Generative adversarial networks to infer velocity components in rotating turbulent flows. The European Physical Journal E. 46(5). 31–31. 8 indexed citations
10.
Lanotte, Alessandra S., et al.. (2023). Multi-Scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models. Atmosphere. 15(1). 60–60. 6 indexed citations
11.
Buzzicotti, Michele, et al.. (2023). Global cascade of kinetic energy in the ocean and the atmospheric imprint. Science Advances. 9(51). eadi7420–eadi7420. 7 indexed citations
12.
Buzzicotti, Michele, et al.. (2023). Extraction of lattice QCD spectral densities from an ensemble of trained machines. 3–3. 1 indexed citations
13.
Buzzicotti, Michele. (2023). Data reconstruction for complex flows using AI: Recent progress, obstacles, and perspectives. Europhysics Letters (EPL). 142(2). 23001–23001. 15 indexed citations
14.
Buzzicotti, Michele, et al.. (2022). Global energy spectrum of the general oceanic circulation. Nature Communications. 13(1). 5314–5314. 51 indexed citations
15.
Buzzicotti, Michele, et al.. (2021). Inertial range statistics of the entropic lattice Boltzmann method in three-dimensional turbulence. Physical review. E. 104(1). 15302–15302. 6 indexed citations
16.
Biferale, Luca, Fabio Bonaccorso, Michele Buzzicotti, & Kartik P. Iyer. (2019). Self-Similar Subgrid-Scale Models for Inertial Range Turbulence and Accurate Measurements of Intermittency. Physical Review Letters. 123(1). 14503–14503. 17 indexed citations
17.
Buzzicotti, Michele, Patricio Clark Di Leoni, & Luca Biferale. (2018). On the inverse energy transfer in rotating turbulence. The European Physical Journal E. 41(11). 131–131. 7 indexed citations
18.
Linkmann, Moritz, Michele Buzzicotti, & Luca Biferale. (2018). Nonuniversal behaviour of helical two-dimensional three-component turbulence. The European Physical Journal E. 41(1). 4–4. 5 indexed citations
19.
Buzzicotti, Michele, et al.. (2016). Phase and precession evolution in the Burgers equation. The European Physical Journal E. 39(3). 34–34. 15 indexed citations
20.
Buzzicotti, Michele, et al.. (2016). Intermittency in fractal Fourier hydrodynamics: Lessons from the Burgers equation. Physical review. E. 93(3). 33109–33109. 23 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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