Nicolás Faedo

1.8k total citations
96 papers, 1.3k citations indexed

About

Nicolás Faedo is a scholar working on Ocean Engineering, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Nicolás Faedo has authored 96 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Ocean Engineering, 36 papers in Computational Mechanics and 27 papers in Electrical and Electronic Engineering. Recurrent topics in Nicolás Faedo's work include Wave and Wind Energy Systems (86 papers), Fluid Dynamics and Vibration Analysis (28 papers) and Wind Energy Research and Development (20 papers). Nicolás Faedo is often cited by papers focused on Wave and Wind Energy Systems (86 papers), Fluid Dynamics and Vibration Analysis (28 papers) and Wind Energy Research and Development (20 papers). Nicolás Faedo collaborates with scholars based in Italy, Ireland and Argentina. Nicolás Faedo's co-authors include John V. Ringwood, Yerai Peña‐Sanchez, Giuliana Mattiazzo, Giordano Scarciotti, Alessandro Astolfi, Edoardo Pasta, Demián García-Violini, Giuseppe Giorgi, Christian Windt and Siyuan Zhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Transactions on Automatic Control.

In The Last Decade

Nicolás Faedo

90 papers receiving 1.2k citations

Peers

Nicolás Faedo

EEE

CSE

Giorgio Bacelli United States

Giuseppe Giorgi Italy

Umesh A. Korde United States

Ryan G. Coe United States

William E. Cummins United States

Alexis Mérigaud Ireland

Frederick Driscoll United States

Claudio A. Rodríguez Brazil

Manabu TAKAO Japan

Giorgio Bacelli United States

Nicolás Faedo

1.2k ×1.1

500 ×1.1

406 ×1.1

EEE

333 ×1.2

227 ×0.9

CSE

Citations per year, relative to Nicolás Faedo Nicolás Faedo (= 1×) peers Giorgio Bacelli

Countries citing papers authored by Nicolás Faedo

Since Specialization

Citations

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

Fields of papers citing papers by Nicolás Faedo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás Faedo

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

All Works

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20 of 20 papers shown

Faedo, Nicolás, et al.. (2025). Comparative evaluation of data-based estimators for wave-induced force in wave energy converters. Journal of Ocean Engineering and Marine Energy. 12(1). 23–36.

Mattiazzo, Giuliana, et al.. (2025). Towards modelling and control strategies for hybrid wind-wave energy converters: Challenges and opportunities. Renewable and Sustainable Energy Reviews. 224. 116080–116080. 1 indexed citations

Ferri, Francesco, et al.. (2024). Experimental Modelling Uncertainty Quantification for a Prototype Wave Energy Converter. VBN Forskningsportal (Aalborg Universitet). 1546–1551. 1 indexed citations

Faedo, Nicolás, et al.. (2024). On the Optimal Flywheel Operation for Inertial Reaction Mass Wave Energy Conversion Systems. 1540–1545.

Pasta, Edoardo, et al.. (2024). Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation. Control Engineering Practice. 148. 105949–105949. 3 indexed citations

Faedo, Nicolás, et al.. (2024). Multi-fidelity surrogate modeling of nonlinear dynamic responses in wave energy farms. Applied Energy. 380. 125011–125011. 5 indexed citations

Faedo, Nicolás, et al.. (2024). Fault diagnosis and fault-tolerant control in wave energy: A perspective. Renewable and Sustainable Energy Reviews. 199. 114507–114507. 6 indexed citations

Faedo, Nicolás, et al.. (2023). SWELL: An open-access experimental dataset for arrays of wave energy conversion systems. Renewable Energy. 212. 699–716. 21 indexed citations

Pasta, Edoardo, et al.. (2023). Control synthesis via Impedance-Matching in panchromatic conditions: a generalised framework for moored systems. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 15. 3 indexed citations

10.

Giorgi, Giuseppe, et al.. (2023). Identification of optimal sites for the deployment of wave energy converters: the importance of a technology-centred approach. 15.

11.

Peña‐Sanchez, Yerai, et al.. (2023). Design considerations for a hybrid wind-wave platform under energy-maximising control. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 15. 1 indexed citations

12.

Pasta, Edoardo, et al.. (2023). Experimental assessment of an unknown-input estimator for a nonlinear wave energy converter. IFAC-PapersOnLine. 56(2). 11711–11716. 1 indexed citations

13.

Faedo, Nicolás, et al.. (2023). An Anti-Windup Mechanism for State Constrained Linear Control of Wave Energy Conversion Systems: Design, Synthesis, and Experimental Assessment. IEEE Transactions on Sustainable Energy. 15(2). 964–973. 2 indexed citations

14.

Faedo, Nicolás, et al.. (2023). Observer-Based Fault Estimation Applied to a Point Absorber Wave Energy Converter. 15. 1 indexed citations

15.

Faedo, Nicolás, Giordano Scarciotti, Alessandro Astolfi, & John V. Ringwood. (2021). On the Approximation of Moments for Nonlinear Systems. IEEE Transactions on Automatic Control. 66(11). 5538–5545. 14 indexed citations

16.

Faedo, Nicolás, Giordano Scarciotti, Alessandro Astolfi, & John V. Ringwood. (2021). Energy‐maximising moment‐based constrained optimal control of ocean wave energy farms. IET Renewable Power Generation. 15(14). 3395–3408. 10 indexed citations

17.

Faedo, Nicolás, Giordano Scarciotti, Alessandro Astolfi, & John V. Ringwood. (2021). Nonlinear Energy-Maximizing Optimal Control of Wave Energy Systems: A Moment-Based Approach. IEEE Transactions on Control Systems Technology. 29(6). 2533–2547. 40 indexed citations

18.

Faedo, Nicolás, Yerai Peña‐Sanchez, & John V. Ringwood. (2019). Parameterisation of Radiation Forces for a Multiple Degree-of-Freedom Wave EnergyConverter Using Moment-Matching. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 2 indexed citations

19.

Peña‐Sanchez, Yerai, Nicolás Faedo, & John V. Ringwood. (2019). Moment-based parametric identification of arrays of wave energy converters. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 3 indexed citations

20.

Peña‐Sanchez, Yerai, Nicolás Faedo, & John V. Ringwood. (2018). Hydrodynamic Model Fitting for Wave Energy Applications Using Moment-Matching: A Case Study. MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth). 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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