Onofrio Semeraro
- Computational Mechanics top 2%
- Aerospace Engineering top 5%
- Statistical and Nonlinear Physics top 5%
- Environmental Engineering top 10%
- Atmospheric Science
- Co-authors
- Dan S. HenningsonShervin BagheriGabriele BellaniFredrik LundellStefania CherubiniP. De PalmaStefano LeonardiLuca Brandt
- Topics
- Fluid Dynamics and Turbulent Flows (20 papers)Fluid Dynamics and Vibration Analysis (12 papers)Model Reduction and Neural Networks (9 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Onofrio Semeraro
28 papers receiving 650 citations
Peers
Comparison fields: 5 of 41
- Computational Mechanics 582
- Aerospace Engineering 334
- Statistical and Nonlinear Physics 201
- Environmental Engineering 143
- Atmospheric Science 60
Countries citing papers authored by Onofrio Semeraro
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | Closed-loop control of complex systems using deep Reinforcement Learning | 1 |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 40 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | Output feedback control of flow on a flat plate past a leading edge using plasma actuators | 1 |
| 13 | 38 | |
| 14 | Riccati-less approach for optimal control and estimation : An application in 2D Boundary Layers | 2 |
| 15 | 17 | |
| 16 | 27 | |
| 17 | 100 | |
| 18 | Robustness of reduced-order observer-based controllers in transitional 2D Blasius boundary layers | 1 |
| 19 | 4 | |
| 20 | 52 |
About Onofrio Semeraro
Onofrio Semeraro is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 29 papers that have together received 657 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (20 papers), Fluid Dynamics and Vibration Analysis (12 papers) and Model Reduction and Neural Networks (9 papers). The work is most often cited by research in Computational Mechanics (582 citations), Statistical and Nonlinear Physics (201 citations) and Aerospace Engineering (334 citations). Onofrio Semeraro has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Dan S. Henningson, Shervin Bagheri, Gabriele Bellani, Fredrik Lundell, Stefania Cherubini, P. De Palma, Stefano Leonardi, Luca Brandt, Clarence W. Rowley and Lutz Lesshafft. Their work appears in journals such as Journal of Fluid Mechanics, Renewable Energy and AIAA Journal.
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.