Onofrio Semeraro

971 total citations
29 papers, 657 citations indexed

About

Onofrio Semeraro is a scholar working on Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Onofrio Semeraro has authored 29 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 12 papers in Aerospace Engineering and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Onofrio Semeraro's work include Fluid Dynamics and Turbulent Flows (20 papers), Fluid Dynamics and Vibration Analysis (12 papers) and Model Reduction and Neural Networks (9 papers). Onofrio Semeraro is often cited by papers focused on Fluid Dynamics and Turbulent Flows (20 papers), Fluid Dynamics and Vibration Analysis (12 papers) and Model Reduction and Neural Networks (9 papers). Onofrio Semeraro collaborates with scholars based in France, Italy and United States. Onofrio Semeraro's co-authors include Dan S. Henningson, Shervin Bagheri, Gabriele Bellani, Fredrik Lundell, Stefania Cherubini, Stefano Leonardi, P. De Palma, Luca Brandt, Clarence W. Rowley and Peter Jordan and has published in prestigious journals such as Journal of Fluid Mechanics, Renewable Energy and AIAA Journal.

In The Last Decade

Onofrio Semeraro

28 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Onofrio Semeraro France 14 582 334 201 143 60 29 657
Espen Åkervik Sweden 9 668 1.1× 200 0.6× 185 0.9× 109 0.8× 53 0.9× 13 729
Simon J. Illingworth Australia 15 462 0.8× 148 0.4× 142 0.7× 119 0.8× 37 0.6× 38 530
Yaomin Zhao China 18 694 1.2× 345 1.0× 241 1.2× 122 0.9× 55 0.9× 51 844
Vikrant Gupta China 15 429 0.7× 216 0.6× 131 0.7× 153 1.1× 19 0.3× 42 612
Taraneh Sayadi France 11 496 0.9× 187 0.6× 135 0.7× 115 0.8× 17 0.3× 30 558
Jürgen Seidel United States 14 627 1.1× 441 1.3× 221 1.1× 76 0.5× 21 0.3× 115 770
Julien Dandois France 17 1.0k 1.7× 740 2.2× 133 0.7× 112 0.8× 28 0.5× 43 1.1k
Xianxu Yuan China 17 914 1.6× 423 1.3× 161 0.8× 114 0.8× 56 0.9× 114 1.0k
Nathan E. Murray United States 14 637 1.1× 583 1.7× 127 0.6× 165 1.2× 26 0.4× 45 759
Jack Weatheritt Australia 12 692 1.2× 323 1.0× 461 2.3× 131 0.9× 61 1.0× 17 844

Countries citing papers authored by Onofrio Semeraro

Since Specialization
Citations

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

Fields of papers citing papers by Onofrio Semeraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Onofrio Semeraro

This figure shows the co-authorship network connecting the top 25 collaborators of Onofrio Semeraro. A scholar is included among the top collaborators of Onofrio Semeraro 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 Onofrio Semeraro. Onofrio Semeraro 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.
Cherubini, Stefania, et al.. (2025). Active learning of data-assimilation closures using graph neural networks. Theoretical and Computational Fluid Dynamics. 39(1). 4 indexed citations
2.
Cherubini, Stefania, et al.. (2025). Mean flow data assimilation using physics-constrained graph neural networks. SPIRE - Sciences Po Institutional REpository. 6.
3.
Semeraro, Onofrio, et al.. (2023). Curriculum learning for data-driven modeling of dynamical systems. The European Physical Journal E. 46(3). 12–12. 6 indexed citations
4.
Semeraro, Onofrio, et al.. (2022). Boundary layer transition induced by low-speed synthetic jets. Physics of Fluids. 34(12). 4 indexed citations
5.
Semeraro, Onofrio, et al.. (2022). Dynamic-mode-decomposition of the wake of the NREL-5MW wind turbine impinged by a laminar inflow. Renewable Energy. 199. 1–10. 13 indexed citations
6.
Semeraro, Onofrio, et al.. (2021). Closed-loop control of complex systems using deep Reinforcement Learning. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
7.
Cherubini, Stefania, et al.. (2021). Stability and optimal forcing analysis of a wind turbine wake: Comparison with POD. Renewable Energy. 181. 765–785. 17 indexed citations
8.
Cherubini, Stefania, et al.. (2021). Data Driven Modal Decomposition of the Wake behind an NREL-5MW Wind Turbine. International Journal of Turbomachinery Propulsion and Power. 6(4). 44–44. 6 indexed citations
9.
Cherubini, Stefania, et al.. (2021). The influence of incoming turbulence on the dynamic modes of an NREL-5MW wind turbine wake. Renewable Energy. 183. 601–616. 37 indexed citations
10.
Semeraro, Onofrio, et al.. (2020). Receptivity to synthetic jet actuation in boundary layer flows. AIAA Scitech 2020 Forum. 2 indexed citations
11.
Cherubini, Stefania, et al.. (2020). POD‐based analysis of a wind turbine wake under the influence of tower and nacelle. Wind Energy. 24(6). 609–633. 40 indexed citations
12.
Semeraro, Onofrio & Jan O. Pralits. (2018). Full-order optimal compensators for flow control: the multiple inputs case. Theoretical and Computational Fluid Dynamics. 32(3). 285–305. 4 indexed citations
13.
Semeraro, Onofrio, et al.. (2014). Adaptive and Model-Based Control Theory Applied to Convectively Unstable Flows. Applied Mechanics Reviews. 66(6). 44 indexed citations
14.
Semeraro, Onofrio, et al.. (2013). Output feedback control of flow on a flat plate past a leading edge using plasma actuators. AIAA Journal. 1 indexed citations
15.
Semeraro, Onofrio, Jan O. Pralits, Clarence W. Rowley, & Dan S. Henningson. (2013). Riccati-less approach for optimal control and estimation : An application in 2D Boundary Layers. 2 indexed citations
16.
Semeraro, Onofrio, Shervin Bagheri, Luca Brandt, & Dan S. Henningson. (2013). Transition delay in a boundary layer flow using active control. Journal of Fluid Mechanics. 731. 288–311. 38 indexed citations
17.
Semeraro, Onofrio, et al.. (2013). Output Feedback Control of Blasius Flow with Leading Edge Using Plasma Actuator. AIAA Journal. 51(9). 2192–2207. 17 indexed citations
18.
Semeraro, Onofrio, et al.. (2011). Robustness of reduced-order observer-based controllers in transitional 2D Blasius boundary layers. Bulletin of the American Physical Society. 64. 1 indexed citations
19.
Coppola, Gennaro & Onofrio Semeraro. (2011). Interfacial instability of two rotating viscous immiscible fluids in a cylinder. Physics of Fluids. 23(6). 4 indexed citations
20.
Semeraro, Onofrio, Shervin Bagheri, Luca Brandt, & Dan S. Henningson. (2011). Feedback control of three-dimensional optimal disturbances using reduced-order models. Journal of Fluid Mechanics. 677. 63–102. 52 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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