Stefania Cherubini

1.4k total citations
63 papers, 990 citations indexed

About

Stefania Cherubini is a scholar working on Computational Mechanics, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Stefania Cherubini has authored 63 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computational Mechanics, 22 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Stefania Cherubini's work include Fluid Dynamics and Turbulent Flows (48 papers), Fluid Dynamics and Vibration Analysis (27 papers) and Plant Water Relations and Carbon Dynamics (22 papers). Stefania Cherubini is often cited by papers focused on Fluid Dynamics and Turbulent Flows (48 papers), Fluid Dynamics and Vibration Analysis (27 papers) and Plant Water Relations and Carbon Dynamics (22 papers). Stefania Cherubini collaborates with scholars based in Italy, France and United States. Stefania Cherubini's co-authors include Jean-Christophe Robinet, P. De Palma, Alessandro Bottaro, Jean-Christophe Loiseau, Onofrio Semeraro, Stefano Leonardi, Emmanuel Leriche, Frédéric Alizard, Marco D. de Tullio and G. Pascazio and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and International Journal of Hydrogen Energy.

In The Last Decade

Stefania Cherubini

59 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefania Cherubini Italy 19 905 282 275 193 141 63 990
S. I. Chernyshenko United Kingdom 17 776 0.9× 124 0.4× 202 0.7× 222 1.2× 155 1.1× 61 880
Anders Lundbladh Sweden 17 831 0.9× 455 1.6× 415 1.5× 185 1.0× 205 1.5× 47 1.2k
Zhen‐Hua Wan China 19 855 0.9× 99 0.4× 303 1.1× 148 0.8× 118 0.8× 100 1.0k
De‐Jun Sun China 19 769 0.8× 122 0.4× 278 1.0× 143 0.7× 103 0.7× 76 903
Paul Andersson Sweden 5 911 1.0× 191 0.7× 351 1.3× 216 1.1× 177 1.3× 8 942
C. W. H. van Doorne Netherlands 6 594 0.7× 175 0.6× 109 0.4× 98 0.5× 125 0.9× 7 713
Benoı̂t Pier France 17 774 0.9× 122 0.4× 221 0.8× 136 0.7× 47 0.3× 31 953
Alessandro Talamelli Italy 22 1.1k 1.2× 162 0.6× 565 2.1× 347 1.8× 259 1.8× 68 1.3k
J. P. Bertoglio France 14 636 0.7× 85 0.3× 230 0.8× 328 1.7× 74 0.5× 34 818
Y. S. Kachanov Russia 19 1.2k 1.3× 174 0.6× 467 1.7× 436 2.3× 110 0.8× 67 1.2k

Countries citing papers authored by Stefania Cherubini

Since Specialization
Citations

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

Fields of papers citing papers by Stefania Cherubini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Cherubini

This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Cherubini. A scholar is included among the top collaborators of Stefania Cherubini 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 Stefania Cherubini. Stefania Cherubini 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.
Cherubini, Stefania, et al.. (2025). Bayesian inference of physics-based models of acoustically-forced laminar premixed conical flames. Combustion and Flame. 274. 114011–114011.
2.
Cherubini, Stefania, et al.. (2025). Mean flow data assimilation using physics-constrained graph neural networks. SPIRE - Sciences Po Institutional REpository. 6.
3.
Cherubini, Stefania, et al.. (2025). Active learning of data-assimilation closures using graph neural networks. Theoretical and Computational Fluid Dynamics. 39(1). 4 indexed citations
4.
Bernardi, Claudio, et al.. (2024). The effect of Coriolis force on the coherent structures in the wake of a 5MW wind turbine. Energy Conversion and Management X. 25. 100830–100830. 1 indexed citations
5.
Palma, P. De, et al.. (2024). Large-scale coherent structures in turbulent channel flow: a detuned instability of wall streaks. Journal of Fluid Mechanics. 997. 2 indexed citations
6.
Cherubini, Stefania, et al.. (2024). Detuned secondary instabilities in three-dimensional boundary-layer flow. Physical Review Fluids. 9(4). 4 indexed citations
7.
Cherubini, Stefania, et al.. (2024). Turbulent transition in a channel with superhydrophobic walls: anisotropic slip and shear misalignment effects. Journal of Fluid Mechanics. 980. 4 indexed citations
8.
Palma, P. De, et al.. (2023). Nonlinear optimal perturbation of turbulent channel flow as a precursor of extreme events. Journal of Fluid Mechanics. 970. 3 indexed citations
9.
Bernardi, Claudio, et al.. (2023). NREL-5MW Wind Turbine Noise Prediction by FWH-LES. International Journal of Turbomachinery Propulsion and Power. 8(4). 54–54. 2 indexed citations
10.
Cherubini, Stefania, et al.. (2020). Variational Nonlinear Optimization in Fluid Dynamics: The Case of a Channel Flow with Superhydrophobic Walls. Mathematics. 9(1). 53–53. 5 indexed citations
11.
Cherubini, Stefania, et al.. (2019). A synthetic forcing to trigger laminar-turbulent transition in parallel wall bounded flows via receptivity. Journal of Computational Physics. 393. 92–116. 4 indexed citations
12.
Cherubini, Stefania, et al.. (2018). Computing heteroclinic orbits using adjoint-based methods. Journal of Fluid Mechanics. 858. 9 indexed citations
13.
Mancini, Cecilia, et al.. (2017). Global stability analysis of lifted diffusion flames. Energy Procedia. 126. 867–874.
14.
Loiseau, Jean-Christophe, et al.. (2017). Roughness-induced transition by quasi-resonance of a varicose global mode. Journal of Fluid Mechanics. 836. 167–191. 31 indexed citations
15.
Loiseau, Jean-Christophe, Jean-Christophe Robinet, Stefania Cherubini, & Emmanuel Leriche. (2014). Investigation of the roughness-induced transition: global stability analyses and direct numerical simulations. Journal of Fluid Mechanics. 760. 175–211. 93 indexed citations
16.
Cherubini, Stefania & P. De Palma. (2013). Nonlinear optimal perturbations in a Couette flow: bursting and transition. Journal of Fluid Mechanics. 716. 251–279. 49 indexed citations
17.
Cherubini, Stefania, P. De Palma, Jean-Christophe Robinet, & Alessandro Bottaro. (2012). A purely nonlinear route to transition approaching the edge of chaos in a boundary layer. Fluid Dynamics Research. 44(3). 31404–31404. 18 indexed citations
18.
Cherubini, Stefania, P. De Palma, Jean-Christophe Robinet, & Alessandro Bottaro. (2011). The minimal seed of turbulent transition in the boundary layer. Journal of Fluid Mechanics. 689. 221–253. 64 indexed citations
19.
Cherubini, Stefania, P. De Palma, Jean-Christophe Robinet, & Alessandro Bottaro. (2011). Edge states in a boundary layer. Physics of Fluids. 23(5). 41 indexed citations
20.
Alizard, Frédéric, Stefania Cherubini, & Jean-Christophe Robinet. (2009). Sensitivity and optimal forcing response in separated boundary layer flows. Physics of Fluids. 21(6). 53 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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