Mario A. Rotea

5.5k total citations · 1 hit paper
159 papers, 4.1k citations indexed

About

Mario A. Rotea is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Mario A. Rotea has authored 159 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Control and Systems Engineering, 68 papers in Aerospace Engineering and 40 papers in Computational Mechanics. Recurrent topics in Mario A. Rotea's work include Stability and Control of Uncertain Systems (48 papers), Wind Energy Research and Development (37 papers) and Advanced Control Systems Optimization (27 papers). Mario A. Rotea is often cited by papers focused on Stability and Control of Uncertain Systems (48 papers), Wind Energy Research and Development (37 papers) and Advanced Control Systems Optimization (27 papers). Mario A. Rotea collaborates with scholars based in United States, Switzerland and Australia. Mario A. Rotea's co-authors include Pramod P. Khargonekar, Matthew A. Lackner, Ian R. Petersen, Stefano Leonardi, Umberto Ciri, Enrique Baeyens, M. Corless, Inseok Hwang, Yaoyu Li and Isaac Kaminer and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Power Electronics.

In The Last Decade

Mario A. Rotea

152 papers receiving 3.9k citations

Hit Papers

Mixed H/sub 2//H/sub infi... 1991 2026 2002 2014 1991 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario A. Rotea United States 30 2.7k 1.1k 849 533 502 159 4.1k
Mark J. Balas United States 32 3.9k 1.5× 2.0k 1.8× 585 0.7× 1.2k 2.2× 1.1k 2.2× 245 5.7k
Carlo L. Bottasso Italy 38 1.5k 0.6× 2.7k 2.4× 1.6k 1.8× 818 1.5× 561 1.1× 263 4.6k
James F. Whidborne United Kingdom 29 1.3k 0.5× 858 0.8× 225 0.3× 704 1.3× 273 0.5× 219 3.4k
Nhan T. Nguyen United States 26 1.4k 0.5× 1.7k 1.6× 672 0.8× 646 1.2× 129 0.3× 278 3.3k
Roy S. Smith Switzerland 32 2.5k 0.9× 477 0.4× 153 0.2× 814 1.5× 280 0.6× 239 3.9k
Quanmin Zhu United Kingdom 41 3.6k 1.4× 252 0.2× 311 0.4× 596 1.1× 444 0.9× 304 4.8k
Olav Egeland Norway 35 3.7k 1.4× 1.1k 1.0× 527 0.6× 266 0.5× 142 0.3× 205 5.2k
Hyochoong Bang South Korea 29 1.4k 0.5× 2.4k 2.2× 211 0.2× 255 0.5× 255 0.5× 358 3.5k
M.J. Grimble United Kingdom 34 3.8k 1.4× 425 0.4× 237 0.3× 320 0.6× 177 0.4× 406 4.7k
Yueying Wang China 34 3.0k 1.1× 440 0.4× 108 0.1× 438 0.8× 140 0.3× 172 4.4k

Countries citing papers authored by Mario A. Rotea

Since Specialization
Citations

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

Fields of papers citing papers by Mario A. Rotea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario A. Rotea. 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 Mario A. Rotea. The network helps show where Mario A. Rotea may publish in the future.

Co-authorship network of co-authors of Mario A. Rotea

This figure shows the co-authorship network connecting the top 25 collaborators of Mario A. Rotea. A scholar is included among the top collaborators of Mario A. Rotea 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 Mario A. Rotea. Mario A. Rotea 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.
Rotea, Mario A., et al.. (2024). Power output fluctuations and unsteady aerodynamic loads of a scaled wind turbine subjected to periodically oscillating wind environments. Journal of Renewable and Sustainable Energy. 16(5). 2 indexed citations
2.
Kehtarnavaz, Nasser, et al.. (2024). Prediction of Icing on Wind Turbines Based on SCADA Data via Temporal Convolutional Network. Energies. 17(9). 2175–2175. 5 indexed citations
3.
Rotea, Mario A., et al.. (2024). Wind Farm Prediction of Icing Based on SCADA Data. Energies. 17(18). 4629–4629. 2 indexed citations
4.
Kumar, Devesh, et al.. (2023). The influence of yaw misalignment on turbine power output fluctuations and unsteady aerodynamic loads within wind farms. Renewable Energy. 215. 118894–118894. 9 indexed citations
5.
Nanos, Emmanouil M., Carlo L. Bottasso, Filippo Campagnolo, et al.. (2022). Design, steady performance and wake characterization of a scaled wind turbine with pitch, torque and yaw actuation. Wind energy science. 7(3). 1263–1287. 10 indexed citations
6.
Rotea, Mario A., et al.. (2022). Wind Turbine Power Maximization Using Log-Power Proportional-Integral Extremum Seeking. Energies. 15(3). 1004–1004. 4 indexed citations
7.
Nanos, Emmanouil M., Carlo L. Bottasso, Filippo Campagnolo, et al.. (2021). Design, performance and wake characterization of a scaled wind turbine with closed-loop controls. 1 indexed citations
8.
Ciri, Umberto, et al.. (2021). Identification of wind turbine clusters for effective real time yaw control optimization. Journal of Renewable and Sustainable Energy. 13(4). 9 indexed citations
9.
Fahimi, Babak, et al.. (2019). Multiple Reference Frame-Based Torque Ripple Reduction in DFIG-DC System. IEEE Transactions on Power Electronics. 35(5). 4971–4983. 19 indexed citations
10.
Letizia, Stefano, Lu Zhan, Emmanouil M. Nanos, et al.. (2019). Assessment of wake superposition models through wind tunnel tests and LiDAR measurements.. Bulletin of the American Physical Society. 1 indexed citations
11.
Ciri, Umberto, Mario A. Rotea, & Stefano Leonardi. (2017). Model-free control of wind farms: A comparative study between individual and coordinated extremum seeking. Renewable Energy. 113. 1033–1045. 51 indexed citations
13.
Rotea, Mario A., et al.. (2011). Sensors searching for interesting things: Extremum seeking control on entropy maps. 4985–4991. 11 indexed citations
14.
Rotea, Mario A., et al.. (2011). Robots looking for interesting things: Extremum seeking control on saliency maps. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1180–1186. 12 indexed citations
15.
Rotea, Mario A., et al.. (2003). Characterization of Color Printers Using Robust Parameter Estimation. Color and Imaging Conference. 11(1). 224–231. 4 indexed citations
16.
McFarlane, DC, et al.. (1998). Optimal quadratic guaranteed cost control for uncertain linear systems. Cambridge University Engineering Department Publications Database. 3 indexed citations
17.
Tsiotras, Panagiotis, M. Corless, & Mario A. Rotea. (1998). An ℒ2 disturbance attenuation solution to the nonlinear benchmark problem. International Journal of Robust and Nonlinear Control. 8(4-5). 311–330. 59 indexed citations
18.
Petersen, Ian R., Duncan McFarlane, & Mario A. Rotea. (1998). Optimal guaranteed cost control of discrete‐time uncertain linear systems. International Journal of Robust and Nonlinear Control. 8(8). 649–657. 4 indexed citations
19.
Rotea, Mario A., et al.. (1996). An interpolation approach to multiobjective design. International Journal of Control. 65(4). 699–720. 8 indexed citations
20.
Rotea, Mario A., et al.. (1994). System order reduction in robust stabilization problems. International Journal of Control. 60(2). 223–241. 5 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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