Stefania Fresca

805 total citations · 1 hit paper
21 papers, 502 citations indexed

About

Stefania Fresca is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Stefania Fresca has authored 21 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 8 papers in Computational Mechanics and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Stefania Fresca's work include Model Reduction and Neural Networks (20 papers), Probabilistic and Robust Engineering Design (7 papers) and Numerical methods for differential equations (5 papers). Stefania Fresca is often cited by papers focused on Model Reduction and Neural Networks (20 papers), Probabilistic and Robust Engineering Design (7 papers) and Numerical methods for differential equations (5 papers). Stefania Fresca collaborates with scholars based in Italy, Switzerland and Netherlands. Stefania Fresca's co-authors include Andrea Manzoni, Attilio Frangi, Alfio Quarteroni, Giorgio Gobat, Luca Dede’, Paolo Zunino, Patrick Fedeli, Andrea Opreni, Mengwu Guo and Stefano Pagani and has published in prestigious journals such as PLoS ONE, Computer Methods in Applied Mechanics and Engineering and Sensors.

In The Last Decade

Stefania Fresca

20 papers receiving 482 citations

Hit Papers

align trajectories sort by overperformance

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.

POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition

2022 164 citations Stefania Fresca, Andrea Manzoni arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefania Fresca Italy	12	370	173	142	65	60	21	502
Georgios Kissas United States	4	257 0.7×	120 0.7×	41 0.3×	59 0.9×	22 0.4×	6	432
Nicola Demo Italy	11	207 0.6×	118 0.7×	80 0.6×	71 1.1×	19 0.3×	22	336
Andrea Mola Italy	12	260 0.7×	287 1.7×	97 0.7×	86 1.3×	30 0.5×	36	471
Jian Cheng Wong Singapore	9	230 0.6×	105 0.6×	24 0.2×	62 1.0×	17 0.3×	22	430
Stefano Pagani Italy	13	126 0.3×	53 0.3×	60 0.4×	16 0.2×	19 0.3×	23	337
Charbel Bou‐Mosleh Lebanon	6	397 1.1×	284 1.6×	177 1.2×	72 1.1×	36 0.6×	15	517
Zheyuan Hu United States	8	207 0.6×	67 0.4×	30 0.2×	61 0.9×	38 0.6×	15	322
Roberto Molinaro Switzerland	9	347 0.9×	177 1.0×	47 0.3×	66 1.0×	36 0.6×	10	539

Countries citing papers authored by Stefania Fresca

Since Specialization

Citations

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

Fields of papers citing papers by Stefania Fresca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Fresca

This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Fresca. A scholar is included among the top collaborators of Stefania Fresca 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 Stefania Fresca. Stefania Fresca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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.

Fresca, Stefania, et al.. (2025). On latent dynamics learning in nonlinear reduced order modeling. Neural Networks. 185. 107146–107146. 1 indexed citations

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

Fresca, Stefania, et al.. (2024). Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition. Advances in Computational Mathematics. 50(3). 9 indexed citations

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

Fresca, Stefania, et al.. (2023). Deep learning-based surrogate models for parametrized PDEs: Handling geometric variability through graph neural networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(12). 15 indexed citations

Gobat, Giorgio, et al.. (2023). Modelling the Periodic Response of Micro-Electromechanical Systems through Deep Learning-Based Approaches. Actuators. 12(7). 278–278. 6 indexed citations

Fresca, Stefania, et al.. (2023). Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models. Mathematics in Engineering. 5(6). 1–36. 11 indexed citations

Fresca, Stefania, et al.. (2023). Approximation bounds for convolutional neural networks in operator learning. Neural Networks. 161. 129–141. 13 indexed citations

10.

Gobat, Giorgio, Stefania Fresca, Andrea Manzoni, & Attilio Frangi. (2023). Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches. Sensors. 23(6). 3001–3001. 8 indexed citations

11.

Gobat, Giorgio, et al.. (2023). Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions. Computer Methods in Applied Mechanics and Engineering. 411. 116072–116072. 39 indexed citations

12.

Fresca, Stefania & Andrea Manzoni. (2022). POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. arXiv (Cornell University). 164 indexed citations breakdown →

13.

Gobat, Giorgio, Andrea Opreni, Stefania Fresca, Andrea Manzoni, & Attilio Frangi. (2022). Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition. Mechanical Systems and Signal Processing. 171. 108864–108864. 26 indexed citations

14.

Fresca, Stefania, Giorgio Gobat, Patrick Fedeli, Attilio Frangi, & Andrea Manzoni. (2022). Deep learning‐based reduced order models for the real‐time simulation of the nonlinear dynamics of microstructures. International Journal for Numerical Methods in Engineering. 123(20). 4749–4777. 30 indexed citations

15.

Fresca, Stefania, et al.. (2022). Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs. Journal of Scientific Computing. 93(2). 23 indexed citations

16.

Fresca, Stefania, et al.. (2022). Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics. Mathematics in Engineering. 5(2). 1–38. 11 indexed citations

17.

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

18.

Fresca, Stefania. (2021). Deep learning-based reduced order models for nonlinear parametrized PDEs: application to cardiac electrophysiology. 1 indexed citations

19.

Fresca, Stefania, Andrea Manzoni, Luca Dede’, & Alfio Quarteroni. (2021). POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium. Frontiers in Physiology. 12. 23 indexed citations

20.

Fresca, Stefania, Andrea Manzoni, Luca Dede’, & Alfio Quarteroni. (2020). Deep learning-based reduced order models in cardiac electrophysiology. PLoS ONE. 15(10). e0239416–e0239416. 49 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.

Explore authors with similar magnitude of impact