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
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of modelling and analysis of morphing wings
    2018 272 citations Andrea Da Ronch, Jernej Drofelnik et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrea Da Ronch 1.1k 1.1k 412 305 268 130 1.9k
Daniella E. Raveh 1.2k 1.1× 1.3k 1.2× 444 1.1× 255 0.8× 351 1.3× 122 2.0k
Grigorios Dimitriadis 1.1k 1.0× 928 0.8× 186 0.5× 537 1.8× 308 1.1× 133 2.1k
Rafael Palacios 1.9k 1.7× 1.3k 1.2× 358 0.9× 812 2.7× 210 0.8× 157 2.6k
Walter A. Silva 592 0.5× 963 0.9× 819 2.0× 333 1.1× 466 1.7× 58 1.6k
Mayuresh Patil 2.0k 1.8× 984 0.9× 138 0.3× 742 2.4× 212 0.8× 136 2.6k
Deman Tang 1.9k 1.7× 1.7k 1.5× 218 0.5× 809 2.7× 256 1.0× 104 2.9k
Rick Lind 1.5k 1.3× 412 0.4× 176 0.4× 595 2.0× 372 1.4× 123 2.0k
Sergio Ricci 935 0.8× 415 0.4× 83 0.2× 184 0.6× 184 0.7× 126 1.4k
Moti Karpel 784 0.7× 423 0.4× 154 0.4× 292 1.0× 236 0.9× 90 1.1k
M. Sergio Campobasso 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). Spatio-temporal graph convolutional autoencoder for transonic wing pressure distribution forecasting. Aerospace Science and Technology. 165. 110516–110516.
2.
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
3.
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
4.
Coppotelli, Giuliano, et al.. (2025). Experimental Characterization of the Flutter Behavior of a Very Flexible Wing. IRIS Research product catalog (Sapienza University of Rome).
5.
Ronch, Andrea Da, et al.. (2025). Augmenting mesh-based data-driven models with physics gradients. Aerospace Science and Technology. 160. 110037–110037.
6.
Ronch, Andrea Da, et al.. (2025). Geometric Deep Learning for Loads Prediction of Maneuvering Aircraft. Journal of Aircraft. 63(1). 145–162.
7.
Maggi, Filippo, et al.. (2025). Sensitivity Analysis of Parameters on Multi-Disciplinary Design and Optimization Approach for Air-Launched Mission. Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
8.
Ronch, Andrea Da, et al.. (2025). Predicting transonic flowfields in non–homogeneous unstructured grids using autoencoder graph convolutional networks. Journal of Computational Physics. 524. 113708–113708. 1 indexed citations
9.
Ronch, Andrea Da, et al.. (2024). Gradient-Guided Graph Convolutional Multi-Mesh Frameworks for Aircraft Aerodynamics Modelling. ePrints Soton (University of Southampton).
10.
Ronch, Andrea Da, et al.. (2024). Recurrent graph convolutional multi-mesh autoencoder for unsteady transonic aerodynamics. Journal of Fluids and Structures. 131. 104202–104202. 3 indexed citations
11.
Li, Zhuoneng, et al.. (2024). Rapid Aerodynamic Methods for the Analysis of Propeller Wing Interaction. ePrints Soton (University of Southampton). 1 indexed citations
12.
Coppotelli, Giuliano, et al.. (2024). Experimental Characterization of Flutter and LCO of a Very Flexible Wing. ePrints Soton (University of Southampton). 1 indexed citations
13.
Ronch, Andrea Da, et al.. (2024). Recurrent Geometric Deep Learning for Aerodynamic Prediction of the Future Fighter Demonstrator in Dynamic Manoeuvres. ePrints Soton (University of Southampton). 3 indexed citations
14.
Gulizzi, Vincenzo, et al.. (2023). High-fidelity aeroelastic transonic analysis using higher-order structural models. Composite Structures. 321. 117315–117315. 6 indexed citations
15.
Ronch, Andrea Da, et al.. (2023). Low-Dimensional Models for Aerofoil Icing Predictions. Aerospace. 10(5). 444–444. 7 indexed citations
16.
Ronch, Andrea Da, et al.. (2023). A Preliminary Investigation into Icing Accretion around a Wavy Leading-edge Wing. AIAA SCITECH 2023 Forum.
17.
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
18.
Ronch, Andrea Da, et al.. (2021). Fast Aerodynamic Calculations Based on a Generalized Unsteady Coupling Algorithm. AIAA Journal. 59(8). 2916–2934. 1 indexed citations
19.
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
20.
Ronch, Andrea Da, et al.. (2015). Novel concepts in unmanned aircraft aerodynamics, flight stability, and control. Wiley-Blackwell eBooks. 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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