Giovanni Stabile

1.5k total citations
43 papers, 775 citations indexed

About

Giovanni Stabile is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Aerospace Engineering. According to data from OpenAlex, Giovanni Stabile has authored 43 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 27 papers in Statistical and Nonlinear Physics and 8 papers in Aerospace Engineering. Recurrent topics in Giovanni Stabile's work include Model Reduction and Neural Networks (27 papers), Fluid Dynamics and Vibration Analysis (18 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Giovanni Stabile is often cited by papers focused on Model Reduction and Neural Networks (27 papers), Fluid Dynamics and Vibration Analysis (18 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Giovanni Stabile collaborates with scholars based in Italy, United States and Spain. Giovanni Stabile's co-authors include Gianluigi Rozza, Andrea Mola, Sajad Salavatidezfouli, Stefano Lorenzi, Nicola Demo, Michael Bluck, M. Barzegar Gerdroodbary, Michele Girfoglio, Guglielmo Scovazzi and Joris Degroote and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

Giovanni Stabile

39 papers receiving 751 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Stabile Italy 15 523 460 198 182 68 43 775
M. Damodaran Singapore 11 315 0.6× 386 0.8× 204 1.0× 177 1.0× 94 1.4× 51 694
Francesco Ballarin Italy 17 618 1.2× 524 1.1× 73 0.4× 199 1.1× 110 1.6× 54 909
Maziar S. Hemati United States 11 461 0.9× 606 1.3× 343 1.7× 101 0.6× 80 1.2× 52 874
Andrea Mola Italy 12 260 0.5× 287 0.6× 86 0.4× 97 0.5× 48 0.7× 36 471
David J. Lucia United States 13 810 1.5× 778 1.7× 331 1.7× 448 2.5× 92 1.4× 21 1.2k
Dietmar Rempfer United States 17 437 0.8× 898 2.0× 343 1.7× 134 0.7× 96 1.4× 41 1.2k
Charbel Bou‐Mosleh Lebanon 6 397 0.8× 284 0.6× 72 0.4× 177 1.0× 55 0.8× 15 517
Paul G. A. Cizmas United States 17 215 0.4× 554 1.2× 409 2.1× 132 0.7× 129 1.9× 86 824
Sirod Sirisup Thailand 9 307 0.6× 297 0.6× 75 0.4× 128 0.7× 44 0.6× 24 507
Esteban Ferrer Spain 25 362 0.7× 1.2k 2.7× 431 2.2× 48 0.3× 88 1.3× 104 1.5k

Countries citing papers authored by Giovanni Stabile

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Stabile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Stabile

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Stabile. A scholar is included among the top collaborators of Giovanni Stabile 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 Giovanni Stabile. Giovanni Stabile 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.
Stabile, Giovanni, et al.. (2025). A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number. Computers & Mathematics with Applications. 180. 299–321. 3 indexed citations
2.
Stabile, Giovanni, et al.. (2025). Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. Journal of Computational Physics. 524. 113729–113729. 2 indexed citations
3.
Stabile, Giovanni, et al.. (2025). A reduced-order model for segregated fluid–structure interaction solvers based on an ALE approach. Computers & Fluids. 302. 106824–106824.
4.
Stabile, Giovanni, et al.. (2025). Physics informed neural network framework for unsteady discretized reduced order system. Computers & Mathematics with Applications. 191. 167–187. 2 indexed citations
5.
Salavatidezfouli, Sajad, et al.. (2025). A predictive surrogate model for heat transfer of an impinging jet on a concave surface. International Journal of Heat and Mass Transfer. 251. 127248–127248. 2 indexed citations
6.
Salavatidezfouli, Sajad, et al.. (2024). Effect of particle aspect ratio in targeted drug delivery in abdominal aortic aneurysm. European Journal of Mechanics - B/Fluids. 106. 181–196. 14 indexed citations
7.
Stabile, Giovanni, et al.. (2024). Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions. Computer Methods in Applied Mechanics and Engineering. 423. 116823–116823. 2 indexed citations
8.
Carletti, Margherita, et al.. (2024). A SIMPLE PROBLEM FOR SIMULATING DEMOGRAPHIC NOISE IN BIOLOGICAL DIFFERENTIAL EQUATION MODELS: A DISCREPANCY EFFECT. Journal of Biological Systems. 32(4). 1249–1260.
9.
Rossi, Andrea P., Giovanni Stabile, Francesco Fantin, et al.. (2023). The Role of Ultrasound Muscle Parameters for Myosteatosis and Myofibrosis Measurement in Young, Older, and Obese Subjects. Journal of the American Medical Directors Association. 25(1). 91–97. 5 indexed citations
10.
Stabile, Giovanni, et al.. (2023). A two-stage deep learning architecture for model reduction of parametric time-dependent problems. Computers & Mathematics with Applications. 149. 115–127. 4 indexed citations
11.
Stabile, Giovanni, et al.. (2023). Pressure data-driven variational multiscale reduced order models. Journal of Computational Physics. 476. 111904–111904. 7 indexed citations
12.
Stabile, Giovanni, et al.. (2023). A physics-based reduced order model for urban air pollution prediction. Computer Methods in Applied Mechanics and Engineering. 417. 116416–116416. 7 indexed citations
13.
Demo, Nicola, et al.. (2023). A continuous convolutional trainable filter for modelling unstructured data. Computational Mechanics. 72(2). 253–265. 3 indexed citations
14.
Stabile, Giovanni, et al.. (2023). Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method. Journal of Scientific Computing. 94(3). 34 indexed citations
15.
Stabile, Giovanni, et al.. (2020). Parametric pod-galerkin model order reduction for unsteady-state heat transfer problems. CINECA IRIS Institutional Research information system (University of Urbino). 21 indexed citations
16.
Stabile, Giovanni, et al.. (2020). A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step. Applied Mathematical Modelling. 89. 486–503. 17 indexed citations
17.
18.
Stabile, Giovanni, et al.. (2019). POD-Galerkin reduced order model of the Boussinesq approximation for buoyancy-driven enclosed flows. Ghent University Academic Bibliography (Ghent University). 5 indexed citations
19.
Stabile, Giovanni, et al.. (2019). A Hybrid Reduced Order Method for Modelling Turbulent Heat Transfer\n Problems. arXiv (Cornell University). 29 indexed citations
20.
Stabile, Giovanni, et al.. (2017). Advances in Reduced order modelling for CFD: vortex shedding around a circular cylinder using a POD-Galerkin method. arXiv (Cornell University). 5 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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