Andrea Manzoni

6.6k total citations · 3 hit papers
124 papers, 3.7k citations indexed

About

Andrea Manzoni is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Andrea Manzoni has authored 124 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Statistical and Nonlinear Physics, 47 papers in Computational Mechanics and 28 papers in Statistics, Probability and Uncertainty. Recurrent topics in Andrea Manzoni's work include Model Reduction and Neural Networks (59 papers), Probabilistic and Robust Engineering Design (28 papers) and Advanced Numerical Methods in Computational Mathematics (25 papers). Andrea Manzoni is often cited by papers focused on Model Reduction and Neural Networks (59 papers), Probabilistic and Robust Engineering Design (28 papers) and Advanced Numerical Methods in Computational Mathematics (25 papers). Andrea Manzoni collaborates with scholars based in Italy, Switzerland and United States. Andrea Manzoni's co-authors include Alfio Quarteroni, Federico Negri, Gianluigi Rozza, Stefania Fresca, Christian Vergara, Francesco Ballarin, Stefano Mariani, Stefano Pagani, Luca Dede’ and Toni Lassila and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Andrea Manzoni

117 papers receiving 3.5k citations

Hit Papers

Reduced Basis Methods for... 2015 2026 2018 2022 2015 2015 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Manzoni Italy 32 2.2k 1.5k 906 398 393 124 3.7k
Fabio Nobile Switzerland 35 944 0.4× 2.9k 1.9× 2.9k 3.2× 636 1.6× 695 1.8× 128 6.5k
Gianluigi Rozza Italy 39 5.3k 2.5× 3.8k 2.6× 2.1k 2.3× 949 2.4× 483 1.2× 220 7.8k
Omar Ghattas United States 39 999 0.5× 1.3k 0.9× 937 1.0× 353 0.9× 485 1.2× 122 5.2k
Raúl Tempone Saudi Arabia 31 927 0.4× 1.2k 0.8× 3.7k 4.1× 442 1.1× 815 2.1× 137 5.0k
Ngoc Cuong Nguyen United States 34 2.0k 0.9× 3.1k 2.1× 927 1.0× 813 2.0× 183 0.5× 135 5.1k
Tan Bui–Thanh United States 20 965 0.4× 806 0.6× 692 0.8× 194 0.5× 126 0.3× 58 2.0k
Gianluca Iaccarino United States 45 1.2k 0.6× 7.6k 5.2× 1.4k 1.6× 108 0.3× 401 1.0× 280 10.4k
Michel Lesoinne United States 27 545 0.3× 2.9k 2.0× 381 0.4× 354 0.9× 306 0.8× 45 3.8k
Benjamin Peherstorfer United States 22 1.6k 0.7× 732 0.5× 1.3k 1.4× 213 0.5× 261 0.7× 63 2.8k

Countries citing papers authored by Andrea Manzoni

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Manzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Manzoni

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Manzoni. A scholar is included among the top collaborators of Andrea Manzoni 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 Manzoni. Andrea Manzoni 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.
Fresca, Stefania, et al.. (2025). Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs. Computer Methods in Applied Mechanics and Engineering. 442. 117989–117989.
2.
Fasel, Urban, et al.. (2025). Interpretable and efficient data-driven discovery and control of distributed systems. SHILAP Revista de lepidopterología. 6.
3.
Braghin, Francesco, et al.. (2025). Reduced order modeling with shallow recurrent decoder networks. Nature Communications. 16(1). 10260–10260.
4.
Fresca, Stefania, et al.. (2025). On latent dynamics learning in nonlinear reduced order modeling. Neural Networks. 185. 107146–107146. 1 indexed citations
5.
Manzoni, Andrea, et al.. (2025). Robust optimal density control of robotic swarms. Automatica. 176. 112218–112218. 1 indexed citations
6.
Breschi, Valentina, et al.. (2024). SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study. IFAC-PapersOnLine. 58(15). 49–54. 2 indexed citations
7.
Fresca, Stefania, et al.. (2024). PTPI-DL-ROMs: Pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs. Computer Methods in Applied Mechanics and Engineering. 432. 117404–117404. 8 indexed citations
8.
Fresca, Stefania, et al.. (2023). Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. Computers & Mathematics with Applications. 149. 1–23. 17 indexed citations
9.
Manzoni, Andrea, et al.. (2022). Stereotactic Radiosurgery with Gamma Knife in Recurrent Rathke's Cleft Cyst. Neurology India. 70(3). 1260–1262. 3 indexed citations
10.
Guo, Mengwu, et al.. (2022). Multi-fidelity surrogate modeling using long short-term memory networks. Computer Methods in Applied Mechanics and Engineering. 404. 115811–115811. 49 indexed citations
11.
Fresca, Stefania & Andrea Manzoni. (2021). Real-Time Simulation of Parameter-Dependent Fluid Flows through Deep Learning-Based Reduced Order Models. MDPI (MDPI AG). 37 indexed citations
12.
Manzoni, Andrea, et al.. (2021). Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate. MDPI (MDPI AG). 16–16. 2 indexed citations
13.
Manzoni, Andrea, et al.. (2020). Fully convolutional networks for structural health monitoring through\n multivariate time series classification. arXiv (Cornell University). 34 indexed citations
14.
Manzoni, Andrea & Stefano Pagani. (2019). A certified RB method for PDE-constrained parametric optimization problems. SHILAP Revista de lepidopterología. 10(1). 123–152. 3 indexed citations
15.
Santo, Niccolò Dal, Simone Deparis, Andrea Manzoni, & Alfio Quarteroni. (2019). MATHICSE Technical Report : Multi space reduced basis preconditioners for parametrized Stokes equations. Infoscience (Ecole Polytechnique Fédérale de Lausanne).
16.
Beretta, Elena, et al.. (2017). A reconstruction algorithm based on topological gradient for an inverse problem related to a \n semilinear elliptic boundary value problem. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 12 indexed citations
17.
Maday, Yvon, Andrea Manzoni, & Alfio Quarteroni. (2016). An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems. Comptes Rendus Mathématique. 354(12). 1188–1194. 9 indexed citations
18.
D’Amico, Michele, et al.. (2016). Use of Operational Microwave Link Measurements for the Tomographic Reconstruction of 2-D Maps of Accumulated Rainfall. IEEE Geoscience and Remote Sensing Letters. 13(12). 1827–1831. 31 indexed citations
19.
Ballarin, Francesco, Andrea Manzoni, Alfio Quarteroni, & Gianluigi Rozza. (2015). Supremizer stabilization of POD-Galerkin approximation of parametrized Navier-Stokes equations. 71(1). 3 indexed citations
20.
Manzoni, Andrea, et al.. (2015). Simulating the impact of extreme weather events on port operations. RMIT Research Repository (RMIT University Library). 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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