Mattia Cenedese

492 total citations · 1 hit paper
16 papers, 339 citations indexed

About

Mattia Cenedese is a scholar working on Statistical and Nonlinear Physics, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, Mattia Cenedese has authored 16 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 7 papers in Civil and Structural Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Mattia Cenedese's work include Model Reduction and Neural Networks (8 papers), Structural Health Monitoring Techniques (5 papers) and Probabilistic and Robust Engineering Design (5 papers). Mattia Cenedese is often cited by papers focused on Model Reduction and Neural Networks (8 papers), Structural Health Monitoring Techniques (5 papers) and Probabilistic and Robust Engineering Design (5 papers). Mattia Cenedese collaborates with scholars based in Switzerland, United States and Italy. Mattia Cenedese's co-authors include George Haller, Kerstin Avila, H. Yang, Francesco Braghin, Melih Eriten, Edward Schmerling, Keegan J. Moore, Debasish Jana, Satish Nagarajaiah and Marco Pavone and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Mattia Cenedese

14 papers receiving 328 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.

Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds

2022 105 citations Mattia Cenedese, Kerstin Avila et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mattia Cenedese Switzerland	10	148	139	81	69	68	16	339
Antoine Blanchard United States	13	171 1.2×	64 0.5×	167 2.1×	61 0.9×	34 0.5×	24	411
Ramana Kappagantu United States	6	338 2.3×	133 1.0×	92 1.1×	36 0.5×	164 2.4×	9	507
François Louf France	12	181 1.2×	56 0.4×	86 1.1×	16 0.2×	96 1.4×	48	389
Timon Rabczuk Germany	11	89 0.6×	103 0.7×	25 0.3×	30 0.4×	40 0.6×	14	396
B. Ravindra India	11	275 1.9×	125 0.9×	176 2.2×	33 0.5×	16 0.2×	21	510
S.L. Lacy United States	11	145 1.0×	43 0.3×	305 3.8×	21 0.3×	71 1.0×	39	392
P. Brzeski Poland	17	544 3.7×	187 1.3×	148 1.8×	62 0.9×	21 0.3×	41	862
David Néron France	16	97 0.7×	256 1.8×	30 0.4×	71 1.0×	205 3.0×	40	515
Zu-Qing Qu United States	10	294 2.0×	75 0.5×	132 1.6×	61 0.9×	88 1.3×	21	458
Amir Nasrollahi United States	13	231 1.6×	61 0.4×	25 0.3×	103 1.5×	21 0.3×	34	442

Countries citing papers authored by Mattia Cenedese

Since Specialization

Citations

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

Fields of papers citing papers by Mattia Cenedese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattia Cenedese

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

All Works

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16 of 16 papers shown

Habib, Giuseppe, Mattia Cenedese, & Giuseppe Rega. (2025). Spectral submanifold reduction of high dimensional nonlinear systems for dynamical integrity analysis. Nonlinear Dynamics. 113(21). 28983–29005.

Cenedese, Mattia, et al.. (2025). Discovering dominant dynamics for nonlinear continuum robot control. 3(1).

Cenedese, Mattia, et al.. (2024). Data-assisted non-intrusive model reduction for forced nonlinear finite elements models. Nonlinear Dynamics. 113(7). 6465–6489. 11 indexed citations

Cenedese, Mattia, et al.. (2024). Model reduction to spectral submanifolds in piecewise smooth dynamical systems. International Journal of Non-Linear Mechanics. 163. 104753–104753. 12 indexed citations

Cenedese, Mattia, et al.. (2023). Correction to: Fast data-driven model reduction for nonlinear dynamical systems. Nonlinear Dynamics. 111(9). 7959–7959. 2 indexed citations

Cenedese, Mattia, et al.. (2023). Practical Deployment of Spectral Submanifold Reduction for Optimal Control of High-Dimensional Systems. IFAC-PapersOnLine. 56(2). 4074–4081. 4 indexed citations

Köhler, Johannes, et al.. (2023). Robust Nonlinear Reduced-Order Model Predictive Control. 4798–4805. 3 indexed citations

Cenedese, Mattia, et al.. (2023). Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. 2627–2633. 19 indexed citations

Cenedese, Mattia, et al.. (2022). Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds. Nature Communications. 13(1). 872–872. 105 indexed citations breakdown →

10.

Cenedese, Mattia, et al.. (2022). Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 380(2229). 20210194–20210194. 39 indexed citations

11.

Cenedese, Mattia, et al.. (2022). Fast data-driven model reduction for nonlinear dynamical systems. Nonlinear Dynamics. 111(9). 7941–7957. 32 indexed citations

12.

Cenedese, Mattia, Wei Chen, Debasish Jana, et al.. (2021). Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II - Nonlinear system identification. Mechanical Systems and Signal Processing. 166. 108402–108402. 29 indexed citations

13.

Cenedese, Mattia, et al.. (2021). Interaction of Bragg scattering bandgaps and local resonators in mono-coupled periodic structures. Journal of Applied Physics. 129(12). 23 indexed citations

14.

Chen, Wei, Debasish Jana, Mattia Cenedese, et al.. (2021). Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics. Mechanical Systems and Signal Processing. 166. 108401–108401. 30 indexed citations

15.

Cenedese, Mattia & George Haller. (2020). Stability of forced–damped response in mechanical systems from a Melnikov analysis. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(8). 83103–83103. 6 indexed citations

16.

Bergamini, Andrea, et al.. (2017). Bandgap control with local and interconnected LC piezoelectric shunts. Applied Physics Letters. 111(11). 24 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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