Andrea Mola

908 total citations
36 papers, 471 citations indexed

About

Andrea Mola is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Ocean Engineering. According to data from OpenAlex, Andrea Mola has authored 36 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 14 papers in Statistical and Nonlinear Physics and 7 papers in Ocean Engineering. Recurrent topics in Andrea Mola's work include Model Reduction and Neural Networks (12 papers), Fluid Dynamics and Vibration Analysis (11 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Andrea Mola is often cited by papers focused on Model Reduction and Neural Networks (12 papers), Fluid Dynamics and Vibration Analysis (11 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Andrea Mola collaborates with scholars based in Italy, United States and Germany. Andrea Mola's co-authors include Gianluigi Rozza, Giovanni Stabile, Luca Heltai, Stefano Lorenzi, Marco Tezzele, Antonio DeSimone, Luca Formaggia, Nicola Demo, Edie Miglio and Franco Dassi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Journal of Structural Engineering.

In The Last Decade

Andrea Mola

34 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Mola Italy 12 287 260 97 86 52 36 471
Nicholas Geneva United States 7 233 0.8× 236 0.9× 40 0.4× 70 0.8× 47 0.9× 7 469
Sirod Sirisup Thailand 9 297 1.0× 307 1.2× 128 1.3× 75 0.9× 21 0.4× 24 507
Charbel Bou‐Mosleh Lebanon 6 284 1.0× 397 1.5× 177 1.8× 72 0.8× 49 0.9× 15 517
M. Damodaran Singapore 11 386 1.3× 315 1.2× 177 1.8× 204 2.4× 33 0.6× 51 694
Gahl Berkooz Sweden 2 365 1.3× 324 1.2× 118 1.2× 130 1.5× 15 0.3× 2 606
Eric Parish United States 9 419 1.5× 404 1.6× 113 1.2× 151 1.8× 16 0.3× 27 648
Nicola Demo Italy 11 118 0.4× 207 0.8× 80 0.8× 71 0.8× 20 0.4× 22 336
George Em Karniadakis United States 6 126 0.4× 219 0.8× 53 0.5× 47 0.5× 17 0.3× 14 369
Giovanni Stabile Italy 15 460 1.6× 523 2.0× 182 1.9× 198 2.3× 26 0.5× 43 775

Countries citing papers authored by Andrea Mola

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Mola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Mola

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Mola. A scholar is included among the top collaborators of Andrea Mola 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 Andrea Mola. Andrea Mola 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). A reduced-order model for segregated fluid–structure interaction solvers based on an ALE approach. Computers & Fluids. 302. 106824–106824.
3.
Stabile, Giovanni, et al.. (2023). Pressure data-driven variational multiscale reduced order models. Journal of Computational Physics. 476. 111904–111904. 7 indexed citations
4.
5.
Stabile, Giovanni, et al.. (2023). Hybrid data-driven closure strategies for reduced order modeling. Applied Mathematics and Computation. 448. 127920–127920. 7 indexed citations
6.
Stabile, Giovanni, et al.. (2022). Pressure Data-Driven Variational Multiscale Reduced Order Models. SSRN Electronic Journal.
7.
Stabile, Giovanni, et al.. (2020). Data-driven POD-Galerkin reduced order model for turbulent flows. Journal of Computational Physics. 416. 109513–109513. 133 indexed citations
8.
Tezzele, Marco, et al.. (2019). BladeX: Python Blade Morphing. The Journal of Open Source Software. 4(34). 1203–1203. 2 indexed citations
9.
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
10.
Mola, Andrea, Luca Heltai, & Antonio DeSimone. (2017). Wet and Dry Transom Stern Treatment for Unsteady and Nonlinear Potential Flow Model for Naval Hydrodynamics Simulations. Journal of Ship Research. 61(1). 1–14. 2 indexed citations
11.
Mola, Andrea, Luca Heltai, & Antonio DeSimone. (2017). Wet and Dry Transom Stern Treatment for Unsteady and Nonlinear Potential Flow Model for Naval Hydrodynamics Simulations. Journal of Ship Research. 61(1). 1–14. 11 indexed citations
12.
Mola, Andrea, Luca Heltai, & Antonio De Simone. (2016). Ship Sinkage and Trim Predictions Based on a CAD Interfaced Fully Nonlinear Potential Model. CINECA IRIS Institutial research information system (University of Pisa). 3. 511–518. 1 indexed citations
13.
Mola, Andrea, Luca Heltai, & Antonio DeSimone. (2014). A fully nonlinear potential model for ship hydrodynamics directly interfaced with CAD data structures. CINECA IRIS Institutial research information system (University of Pisa). 4. 815–823. 6 indexed citations
14.
Simone, Antonio De, Luca Heltai, & Andrea Mola. (2012). A stable semi-lagrangian potential method for the simulation of ship interaction with unsteady and nonlinear waves. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
15.
Mola, Andrea, Luca Heltai, & Antonio DeSimone. (2012). A stable and adaptive semi-Lagrangian potential model for unsteady and nonlinear ship-wave interactions. Engineering Analysis with Boundary Elements. 37(1). 128–143. 18 indexed citations
16.
Mola, Andrea, Mehdi Ghommem, & Muhammad R. Hajj. (2011). Multi-physics modelling and sensitivity analysis of olympic rowing boat dynamics. Sports Engineering. 14(2-4). 85–94. 4 indexed citations
17.
Mola, Andrea, et al.. (2009). Low-Frequency Variations of Force Coefficients on Square Cylinders with Sharp and Rounded Corners. Journal of Structural Engineering. 135(7). 828–835. 6 indexed citations
18.
Formaggia, Luca, Edie Miglio, Andrea Mola, & Nicola Parolini. (2007). Fluid–structure interaction problems in free surface flows: Application to boat dynamics. International Journal for Numerical Methods in Fluids. 56(8). 965–978. 19 indexed citations
19.
Mola, Andrea, Luca Formaggia, & Edie Miglio. (2006). Simulation of the Dynamics of an Olympic Rowing Boat. Research Repository (Delft University of Technology). 2. 1–10. 2 indexed citations
20.
Marra, Antonino Maria, et al.. (2004). Calculation of impulsively started incompressible viscous flows. International Journal for Numerical Methods in Fluids. 46(8). 877–902. 2 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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