A. Ghidoni

1.1k total citations
61 papers, 691 citations indexed

About

A. Ghidoni is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, A. Ghidoni has authored 61 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computational Mechanics, 17 papers in Aerospace Engineering and 10 papers in Mechanical Engineering. Recurrent topics in A. Ghidoni's work include Computational Fluid Dynamics and Aerodynamics (38 papers), Advanced Numerical Methods in Computational Mathematics (26 papers) and Fluid Dynamics and Turbulent Flows (20 papers). A. Ghidoni is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (38 papers), Advanced Numerical Methods in Computational Mathematics (26 papers) and Fluid Dynamics and Turbulent Flows (20 papers). A. Ghidoni collaborates with scholars based in Italy, United States and France. A. Ghidoni's co-authors include F. Bassi, S Rebay, A. Colombo, Andrea Crivellini, Lorenzo Botti, N. Franchina, Alessandra Nigro, Vittorio Selmin, M. Savini and Krzysztof Fidkowski and has published in prestigious journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and AIAA Journal.

In The Last Decade

A. Ghidoni

58 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Ghidoni Italy 17 552 156 116 111 83 61 691
Olivier Botella France 9 679 1.2× 48 0.3× 38 0.3× 92 0.8× 63 0.8× 26 751
Kivanc Ekici United States 18 898 1.6× 744 4.8× 155 1.3× 90 0.8× 150 1.8× 97 1.2k
Laslo T. Diosady United States 13 348 0.6× 129 0.8× 30 0.3× 39 0.4× 43 0.5× 30 375
Leonardo Santos de Brito Alves Brazil 14 592 1.1× 183 1.2× 83 0.7× 33 0.3× 30 0.4× 76 727
Doru Caraeni United States 8 798 1.4× 123 0.8× 20 0.2× 81 0.7× 77 0.9× 23 844
Marshall C. Galbraith United States 16 763 1.4× 351 2.3× 33 0.3× 28 0.3× 72 0.9× 90 831
Gonzalo Rubio Spain 14 496 0.9× 81 0.5× 33 0.3× 36 0.3× 127 1.5× 53 560
Emmanuel Creusé France 13 391 0.7× 172 1.1× 33 0.3× 24 0.2× 36 0.4× 52 467
Feng Qu China 16 637 1.2× 321 2.1× 45 0.4× 41 0.4× 52 0.6× 74 774
John W. Goodrich United States 10 470 0.9× 86 0.6× 25 0.2× 42 0.4× 38 0.5× 28 523

Countries citing papers authored by A. Ghidoni

Since Specialization
Citations

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

Fields of papers citing papers by A. Ghidoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Ghidoni

This figure shows the co-authorship network connecting the top 25 collaborators of A. Ghidoni. A scholar is included among the top collaborators of A. Ghidoni 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 A. Ghidoni. A. Ghidoni 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.
Crivellini, Andrea, et al.. (2025). The effect of streaks on the breakup of Kelvin–Helmholtz rolls in a geometry-induced laminar separation bubble. Physics of Fluids. 37(8). 1 indexed citations
2.
Ghidoni, A., et al.. (2024). Assessment of the Delayed Extra-LES model for the aerodynamics of simplified automotive models. Journal of Wind Engineering and Industrial Aerodynamics. 254. 105881–105881. 2 indexed citations
3.
Colombo, A., et al.. (2024). p-adaptive discontinuous Galerkin solution of transonic viscous flows with variable time step-size. Computers & Fluids. 282. 106392–106392. 1 indexed citations
4.
Colombo, A., et al.. (2024). Comparison of Different Error Estimators for the p -Adaptive Discontinuous Galerkin Solution of Separated Flows. International journal of computational fluid dynamics. 38(2-3). 135–154.
5.
Ghidoni, A., et al.. (2024). Transition model based on the laminar kinetic energy concept for the prediction of all transition modes. International Journal of Heat and Fluid Flow. 112. 109680–109680. 1 indexed citations
6.
Colombo, A., et al.. (2023). In situ visualization for high-fidelity CFD—Case studies. Computers & Fluids. 267. 106066–106066. 1 indexed citations
7.
Ghidoni, A., et al.. (2023). Integrated approach based on surrogate optimization and CFD for the design of helical turbulators. Thermal Science and Engineering Progress. 39. 101741–101741. 2 indexed citations
8.
Crivellini, Andrea, et al.. (2023). Algebraic modifications of the k-ω and Spalart–Allmaras turbulence models to predict bypass and separation-induced transition. Computers & Fluids. 253. 105791–105791. 6 indexed citations
9.
Colombo, A., et al.. (2023). On the Development of an Implicit Discontinuous Galerkin Solver for Turbulent Real Gas Flows. Fluids. 8(4). 117–117. 2 indexed citations
10.
Colombo, A., et al.. (2022). An implicit p‐adaptive discontinuous Galerkin solver for CAA/CFD simulations. International Journal for Numerical Methods in Fluids. 94(8). 1269–1297. 3 indexed citations
11.
Ghidoni, A., et al.. (2022). Assessment of an adaptive time integration strategy for a high‐order discretization of the unsteady RANS equations. International Journal for Numerical Methods in Fluids. 94(12). 1923–1963. 5 indexed citations
12.
Ghidoni, A., et al.. (2021). Surrogate-Based Optimization of a Centrifugal Pump with Volute Casing for an Automotive Engine Cooling System. Applied Sciences. 11(23). 11470–11470. 5 indexed citations
13.
Bassi, F., et al.. (2020). A p-adaptive Matrix-Free Discontinuous Galerkin Method for the Implicit LES of Incompressible Transitional Flows. Flow Turbulence and Combustion. 105(2). 437–470. 18 indexed citations
14.
Bassi, F., et al.. (2016). Turbine vane film cooling: Heat transfer evaluation using high-order discontinuous Galerkin RANS computations. International Journal of Heat and Fluid Flow. 61. 610–625. 5 indexed citations
15.
Bassi, F., Lorenzo Botti, A. Colombo, et al.. (2016). Assessment of a high-order accurate Discontinuous Galerkin method for turbomachinery flows. International journal of computational fluid dynamics. 30(4). 307–328. 17 indexed citations
17.
Ghidoni, A., A. Colombo, F. Bassi, & S Rebay. (2014). Efficient p‐multigrid discontinuous Galerkin solver for complex viscous flows on stretched grids. International Journal for Numerical Methods in Fluids. 75(2). 134–154. 10 indexed citations
18.
Bassi, F., A. Ghidoni, & S Rebay. (2010). Optimal Runge–Kutta smoothers for the p-multigrid discontinuous Galerkin solution of the 1D Euler equations. Journal of Computational Physics. 230(11). 4153–4175. 15 indexed citations
19.
Bassi, F., et al.. (2008). High‐order accurate p‐multigrid discontinuous Galerkin solution of the Euler equations. International Journal for Numerical Methods in Fluids. 60(8). 847–865. 32 indexed citations
20.
Selmin, Vittorio, et al.. (2006). FULLY ANISOTROPIC UNSTRUCTURED GRID GENERATION WITH APPLICATION TO AIRCRAFT DESIGN. Research Repository (Delft University of Technology). 1 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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