Andrea Da Ronch

2.4k total citations · 1 hit paper
130 papers, 1.9k citations indexed

About

Andrea Da Ronch is a scholar working on Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Andrea Da Ronch has authored 130 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Computational Mechanics, 79 papers in Aerospace Engineering and 38 papers in Statistical and Nonlinear Physics. Recurrent topics in Andrea Da Ronch's work include Computational Fluid Dynamics and Aerodynamics (74 papers), Model Reduction and Neural Networks (38 papers) and Aerospace and Aviation Technology (29 papers). Andrea Da Ronch is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (74 papers), Model Reduction and Neural Networks (38 papers) and Aerospace and Aviation Technology (29 papers). Andrea Da Ronch collaborates with scholars based in United Kingdom, China and Italy. Andrea Da Ronch's co-authors include K. J. Badcock, Mehdi Ghoreyshi, Jinwu Xiang, Daochun Li, Yining Wu, Kenneth Badcock, Jernej Drofelnik, Yueming Li, Dongfeng Li and Gang Chen and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and AIAA Journal.

In The Last Decade

Andrea Da Ronch

118 papers receiving 1.8k citations

Hit Papers

A review of modelling and... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Da Ronch United Kingdom 21 1.1k 1.1k 412 305 268 130 1.9k
Daniella E. Raveh Israel 25 1.2k 1.1× 1.3k 1.2× 444 1.1× 255 0.8× 351 1.3× 122 2.0k
Grigorios Dimitriadis Belgium 25 1.1k 1.0× 928 0.8× 186 0.5× 537 1.8× 308 1.1× 133 2.1k
Rafael Palacios United Kingdom 26 1.9k 1.7× 1.3k 1.2× 358 0.9× 812 2.7× 210 0.8× 157 2.6k
Walter A. Silva United States 16 592 0.5× 963 0.9× 819 2.0× 333 1.1× 466 1.7× 58 1.6k
Mayuresh Patil United States 25 2.0k 1.8× 984 0.9× 138 0.3× 742 2.4× 212 0.8× 136 2.6k
Deman Tang United States 32 1.9k 1.7× 1.7k 1.5× 218 0.5× 809 2.7× 256 1.0× 104 2.9k
Rick Lind United States 24 1.5k 1.3× 412 0.4× 176 0.4× 595 2.0× 372 1.4× 123 2.0k
Sergio Ricci Italy 19 935 0.8× 415 0.4× 83 0.2× 184 0.6× 184 0.7× 126 1.4k
Moti Karpel Israel 21 784 0.7× 423 0.4× 154 0.4× 292 1.0× 236 0.9× 90 1.1k
M. Sergio Campobasso United Kingdom 19 1.0k 0.9× 1.0k 0.9× 91 0.2× 93 0.3× 149 0.6× 65 1.8k

Countries citing papers authored by Andrea Da Ronch

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Da Ronch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Da Ronch

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Da Ronch. A scholar is included among the top collaborators of Andrea Da Ronch 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 Da Ronch. Andrea Da Ronch 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.
Ronch, Andrea Da, et al.. (2025). Parametric Nonlinear Volterra Series via Machine Learning: Transonic Aerodynamics. Journal of Aircraft. 62(6). 1504–1521. 1 indexed citations
2.
Coppotelli, Giuliano, et al.. (2025). Experimental Characterization of the Flutter Behavior of a Very Flexible Wing. IRIS Research product catalog (Sapienza University of Rome).
3.
Ronch, Andrea Da, et al.. (2025). Augmenting mesh-based data-driven models with physics gradients. Aerospace Science and Technology. 160. 110037–110037.
4.
Ronch, Andrea Da, et al.. (2025). Spatio-temporal graph convolutional autoencoder for transonic wing pressure distribution forecasting. Aerospace Science and Technology. 165. 110516–110516.
5.
Ronch, Andrea Da, et al.. (2025). Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning. Aerospace Science and Technology. 163. 110301–110301. 1 indexed citations
6.
Ronch, Andrea Da, et al.. (2024). Gradient-Guided Graph Convolutional Multi-Mesh Frameworks for Aircraft Aerodynamics Modelling. ePrints Soton (University of Southampton).
7.
Li, Zhuoneng, et al.. (2024). Rapid Aerodynamic Methods for the Analysis of Propeller Wing Interaction. ePrints Soton (University of Southampton). 1 indexed citations
8.
Coppotelli, Giuliano, et al.. (2024). Experimental Characterization of Flutter and LCO of a Very Flexible Wing. ePrints Soton (University of Southampton). 1 indexed citations
9.
Gulizzi, Vincenzo, et al.. (2023). High-fidelity aeroelastic transonic analysis using higher-order structural models. Composite Structures. 321. 117315–117315. 6 indexed citations
10.
Ronch, Andrea Da, et al.. (2023). Low-Dimensional Models for Aerofoil Icing Predictions. Aerospace. 10(5). 444–444. 7 indexed citations
11.
Ronch, Andrea Da, et al.. (2022). A computational aeroelastic framework based on high-order structural models and high-fidelity aerodynamics. Aerospace Science and Technology. 132. 108069–108069. 15 indexed citations
12.
Ronch, Andrea Da, et al.. (2020). l1-based calibration of POD-Galerkin models of two-dimensional unsteady flows. Chinese Journal of Aeronautics. 34(1). 226–236. 2 indexed citations
13.
Ronch, Andrea Da, et al.. (2017). Efficient infinite-swept wing solver for steady and unsteady compressible flows. Aerospace Science and Technology. 72. 217–229. 8 indexed citations
14.
Ronch, Andrea Da, et al.. (2017). Analysis of Resolved Turbulent Scales of Motion in Aeroelastic Problems. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 2 indexed citations
15.
Chen, Gang, et al.. (2016). Aeroelastic Moving Gust Responses and Alleviation based on CFD. AIAA Modeling and Simulation Technologies Conference. 5 indexed citations
16.
Ronch, Andrea Da, et al.. (2015). Novel concepts in unmanned aircraft aerodynamics, flight stability, and control. Wiley-Blackwell eBooks. 2 indexed citations
17.
Bonisoli, Elvio, et al.. (2015). Extended frequency bandwidth through multi-degree-of-freedom nonlinear magneto-mechanical energy harvesting. ePrints Soton (University of Southampton). 1–8. 2 indexed citations
18.
Ronch, Andrea Da & Kenneth Badcock. (2013). A New Approach to Computational Fluid Dynamics-Based Gust Loads Analysis. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 16 indexed citations
19.
Ronch, Andrea Da, et al.. (2011). Vortical Flow Prediction Validation for an Unmanned Combat Air Vehicle Model. Journal of Aircraft. 48(6). 1948–1959. 14 indexed citations
20.
Ronch, Andrea Da, Kenneth Badcock, Mehdi Ghoreyshi, et al.. (2010). Linear Frequency Domain and Harmonic Balance Predictions of Dynamic Derivatives. ePrints Soton (University of Southampton). 16 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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