Matteo Diez

2.5k total citations
125 papers, 1.7k citations indexed

About

Matteo Diez is a scholar working on Ocean Engineering, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Matteo Diez has authored 125 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Ocean Engineering, 43 papers in Computational Theory and Mathematics and 43 papers in Statistics, Probability and Uncertainty. Recurrent topics in Matteo Diez's work include Ship Hydrodynamics and Maneuverability (59 papers), Advanced Multi-Objective Optimization Algorithms (43 papers) and Probabilistic and Robust Engineering Design (43 papers). Matteo Diez is often cited by papers focused on Ship Hydrodynamics and Maneuverability (59 papers), Advanced Multi-Objective Optimization Algorithms (43 papers) and Probabilistic and Robust Engineering Design (43 papers). Matteo Diez collaborates with scholars based in Italy, United States and France. Matteo Diez's co-authors include Emilio F. Campana, Frederick Stern, Andrea Serani, Umberto Iemma, Daniële Peri, Giovanni Fasano, Giampaolo Liuzzi, Stefano Lucidi, Riccardo Broglia and L. Morino and has published in prestigious journals such as Scientific Reports, Computer Methods in Applied Mechanics and Engineering and Journal of Sound and Vibration.

In The Last Decade

Matteo Diez

112 papers receiving 1.7k citations

Peers

Matteo Diez
Emilio F. Campana Italy
Baowei Song China
Daniële Peri Italy
Leifur Leifsson United States
Rajkumar Vaidyanathan United States
О.H. Bosgra Netherlands
Mario A. Rotea United States
P. Tucker United States
Felipe Viana United States
Anthony Giunta United States
Emilio F. Campana Italy
Matteo Diez
Citations per year, relative to Matteo Diez Matteo Diez (= 1×) peers Emilio F. Campana

Countries citing papers authored by Matteo Diez

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Diez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Diez

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Diez. A scholar is included among the top collaborators of Matteo Diez 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 Matteo Diez. Matteo Diez 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
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Palma, Giorgio, et al.. (2025). Analysis, Forecasting, and System Identification of a Floating Offshore Wind Turbine Using Dynamic Mode Decomposition. Journal of Marine Science and Engineering. 13(4). 656–656. 1 indexed citations
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Serani, Andrea, Giorgio Palma, Jeroen Wackers, et al.. (2025). Extending parametric model embedding with physical information for design-space dimensionality reduction in shape optimization. Engineering With Computers. 41(6). 4643–4663.
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Palma, Giorgio, et al.. (2025). Bayesian Hankel dynamic mode decomposition for ship motion digital twinning. Applied Ocean Research. 165. 104863–104863.
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Wang, Zhaoyuan, et al.. (2025). A non-intrusive nonlinear structural ROM for partitioned two-way fluid–structure interaction computations. Computer Methods in Applied Mechanics and Engineering. 437. 117736–117736.
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Tona, Giuseppe La, et al.. (2025). Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection. Scientific Reports. 15(1). 23941–23941. 2 indexed citations
8.
Serani, Andrea & Matteo Diez. (2024). Hydrodynamic Shape Optimization of a Naval Destroyer by Machine Learning Methods. Journal of Marine Science and Engineering. 12(11). 1979–1979. 3 indexed citations
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Serani, Andrea, Matteo Diez, & Domenico Quagliarella. (2024). Aerodynamic shape optimization in transonic conditions through parametric model embedding. Aerospace Science and Technology. 155. 109611–109611. 4 indexed citations
10.
Diez, Matteo, Mauro Gaggero, & Andrea Serani. (2024). Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition. International Journal of Adaptive Control and Signal Processing. 39(10). 2119–2142. 4 indexed citations
11.
Wang, Zhaoyuan, et al.. (2024). 6DoF CFD Analysis for High-Speed Small Craft in Free Running Conditions. Ships and Offshore Structures. 20(9). 1331–1351.
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Serani, Andrea, Matteo Diez, & Domenico Quagliarella. (2023). Efficient Shape Optimization via Parametric Model Embedding. AIAA SCITECH 2023 Forum. 4 indexed citations
14.
Serani, Andrea, et al.. (2023). Shape Optimization of a Naval Destroyer by Multi-Fidelity Methods. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 2 indexed citations
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Wackers, Jeroen, et al.. (2022). TOWARDS AUTOMATIC PARAMETER SELECTION FOR MULTI-FIDELITY SURROGATE-BASED OPTIMIZATION. 1(1). 1 indexed citations
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Wackers, Jeroen, et al.. (2020). Multi-Fidelity Machine Learning from Adaptive-and Multi-Grid RANS Simulations. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
17.
Sadat-Hosseini, Hamid, et al.. (2015). Validation of high fidelity CFD/FE FSI for full-scale high-speed planing hull with composite bottom panels slamming. QRU Quaderns de Recerca en Urbanisme. 137–148. 4 indexed citations
18.
Campana, Emilio F., et al.. (2015). Resistance reduction of a military ship by variable-accuracy metamodel-based multidisciplinary robust design optimization. QRU Quaderns de Recerca en Urbanisme. 952–963. 3 indexed citations
19.
Tahara, Yusuke, et al.. (2012). CFD-Based Multiobjective Stochastic Optimization of a Waterjet Propelled High Speed Ship(Summaries of Papers published by Staff of National Maritime Research Institute at Outside Organizations). 12(2). 143.
20.
Diez, Matteo, Daniële Peri, Emilio F. Campana, & Umberto Iemma. (2010). Robust Decision Making in Aerial and Marine Vehicles Optimization: a Designer's Viewpoint. 2(1). 68–86. 4 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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