Edoardo Pasta

497 total citations
39 papers, 330 citations indexed

About

Edoardo Pasta is a scholar working on Ocean Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Edoardo Pasta has authored 39 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ocean Engineering, 14 papers in Aerospace Engineering and 9 papers in Computational Mechanics. Recurrent topics in Edoardo Pasta's work include Wave and Wind Energy Systems (32 papers), Wind Energy Research and Development (13 papers) and Coastal and Marine Dynamics (9 papers). Edoardo Pasta is often cited by papers focused on Wave and Wind Energy Systems (32 papers), Wind Energy Research and Development (13 papers) and Coastal and Marine Dynamics (9 papers). Edoardo Pasta collaborates with scholars based in Italy, Spain and Argentina. Edoardo Pasta's co-authors include Giuliana Mattiazzo, Nicolás Faedo, Sergej Antonello Sirigu, Paolo Brandimarte, Giuseppe Giorgi, Yerai Peña‐Sanchez, R.P.F. Gomes, J.C.C. Henriques, John V. Ringwood and L.M.C. Gato and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Renewable Energy.

In The Last Decade

Edoardo Pasta

35 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edoardo Pasta Italy 10 285 119 104 75 62 39 330
Sergej Antonello Sirigu Italy 15 453 1.6× 211 1.8× 156 1.5× 79 1.1× 109 1.8× 39 517
Ronan Costello Ireland 10 285 1.0× 128 1.1× 113 1.1× 40 0.5× 97 1.6× 17 326
Magnus Stålberg Sweden 7 383 1.3× 196 1.6× 158 1.5× 106 1.4× 73 1.2× 10 434
Lei Fu China 9 281 1.0× 179 1.5× 52 0.5× 65 0.9× 134 2.2× 23 391
Jili Sun China 7 257 0.9× 145 1.2× 196 1.9× 55 0.7× 62 1.0× 10 318
M. Calvário Portugal 9 342 1.2× 197 1.7× 164 1.6× 45 0.6× 88 1.4× 16 375
Jianjian Hu China 7 278 1.0× 150 1.3× 171 1.6× 40 0.5× 90 1.5× 9 332
Feifei Cao China 15 490 1.7× 208 1.7× 209 2.0× 70 0.9× 163 2.6× 52 558
Anup Nambiar United Kingdom 11 206 0.7× 105 0.9× 199 1.9× 77 1.0× 40 0.6× 24 338

Countries citing papers authored by Edoardo Pasta

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Pasta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edoardo Pasta

This figure shows the co-authorship network connecting the top 25 collaborators of Edoardo Pasta. A scholar is included among the top collaborators of Edoardo Pasta 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 Edoardo Pasta. Edoardo Pasta 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.
Pasta, Edoardo, et al.. (2025). On the role of wave energy in the renewable energy mix complementarity: A comparative study between Italy and Ireland. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 16.
3.
Pasta, Edoardo, et al.. (2025). Experimental investigation of wave-to-force modelling uncertainty for wave energy converters. Mechanical Systems and Signal Processing. 226. 112323–112323. 1 indexed citations
4.
Pasta, Edoardo, et al.. (2024). Experimental and Numerical Investigation on the Performance of a Moored Pitching Wave Energy Conversion System. IEEE Journal of Oceanic Engineering. 49(3). 802–820. 8 indexed citations
5.
Aliberti, Alessandro, Lorenzo Bottaccioli, Edoardo Pasta, et al.. (2024). A comparative analysis of Machine Learning Techniques for short-term grid power forecasting and uncertainty analysis of Wave Energy Converters. Engineering Applications of Artificial Intelligence. 138. 109352–109352. 4 indexed citations
6.
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
7.
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
8.
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
9.
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
10.
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
11.
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
12.
Pasta, Edoardo, et al.. (2023). On spatial interpolation of ocean energy source variables: A comparative analysis. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 15.
13.
Pasta, Edoardo, et al.. (2023). On data-based control-oriented modelling applications in wave energy systems. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 15. 2 indexed citations
14.
Pasta, Edoardo, et al.. (2023). Data-driven control of wave energy systems using random forests and deep neural networks. Applied Ocean Research. 140. 103749–103749. 5 indexed citations
15.
Faedo, Nicolás, Edoardo Pasta, Yerai Peña‐Sanchez, et al.. (2023). Experimental assessment of combined sliding mode & moment-based control (SM2C) for arrays of wave energy conversion systems. Control Engineering Practice. 144. 105818–105818. 7 indexed citations
16.
Sirigu, Sergej Antonello, et al.. (2022). Wave Energy Converter Optimal Design Under Parameter Uncertainty. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2 indexed citations
17.
Pasta, Edoardo, et al.. (2021). On the Influence of Mooring in Wave Energy Converters Productivity: the PeWEC case. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 5 indexed citations
18.
Pasta, Edoardo, et al.. (2021). A Model-Free Control Strategy Based on Artificial Neural Networks for PeWEC. 2 indexed citations
19.
Pasta, Edoardo, et al.. (2021). Deep Neural Network Trained to Mimic Nonlinear Economic Model Predictive Control: an Application to a Pendulum Wave Energy Converter. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 295–300. 9 indexed citations
20.
Pasta, Edoardo, et al.. (2020). An adaptive and energy-maximizing control optimization of wave energy converters using an extremum-seeking approach. Physics of Fluids. 32(11). 16 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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