Stefano Discetti
Impact in
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
- Combustion and flame dynamics
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- Model Reduction and Neural Networks
Papers in
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- Fluid Dynamics and Turbulent Flows 69
- Fluid Dynamics and Vibration Analysis 14
- Combustion and flame dynamics 8
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- Aerodynamics and Acoustics in Jet Flows 22
- Co-authors
- Andrea Ianiro (50 shared papers)Tommaso Astarita (20 shared papers)Marco Raiola (21 shared papers)Carlos Sanmiguel Vila (15 shared papers)Ricardo Vinuesa (9 shared papers)Philipp Schlatter (8 shared papers)Alejandro Güemes (11 shared papers)Gioacchino Cafiero (9 shared papers)
In The Last Decade
Stefano Discetti
80 papers receiving 1.7k citations
Stefano Discetti's Hit Papers
Peers
Comparison fields: 5 of 75
- Computational Mechanics 1.4k
- Statistical and Nonlinear Physics 335
- Aerospace Engineering 595
- Environmental Engineering 330
- Ocean Engineering 212
Countries citing papers authored by Stefano Discetti
This map shows the geographic impact of Stefano Discetti'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 Stefano Discetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Discetti more than expected).
Fields of papers citing papers by Stefano Discetti
This network shows the impact of papers produced by Stefano Discetti. 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 Stefano Discetti. The network helps show where Stefano Discetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefano Discetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 150 | |
| 2 | Convolutional-network models to predict wall-bounded turbulence from wall quantities Hit paper breakdown → | 2021 | 148 |
| 3 | 2016 | 113 | |
| 4 | 2018 | 68 | |
| 5 | 2016 | 64 | |
| 6 | 2014 | 60 | |
| 7 | 2017 | 56 | |
| 8 | 2013 | 53 | |
| 9 | 2015 | 52 | |
| 10 | 2017 | 47 | |
| 11 | 2017 | 46 | |
| 12 | 2011 | 42 | |
| 13 | 2012 | 41 | |
| 14 | 2019 | 40 | |
| 15 | 2013 | 39 | |
| 16 | 2022 | 36 | |
| 17 | 2022 | 34 | |
| 18 | 2019 | 34 | |
| 19 | 2020 | 31 | |
| 20 | 2017 | 29 |
About Stefano Discetti
Stefano Discetti is a scholar working on Computational Mechanics, Aerospace Engineering, Statistical and Nonlinear Physics, Mechanical Engineering and Environmental Engineering, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (69 papers), Aerodynamics and Acoustics in Jet Flows (22 papers), Model Reduction and Neural Networks (22 papers), Heat Transfer Mechanisms (19 papers), Wind and Air Flow Studies (17 papers), Fluid Dynamics and Vibration Analysis (14 papers), Particle Dynamics in Fluid Flows (10 papers) and Combustion and flame dynamics (8 papers). The work is most often cited by research in Computational Mechanics (1.4k citations), Statistical and Nonlinear Physics (335 citations), Aerospace Engineering (595 citations), Environmental Engineering (330 citations) and Ocean Engineering (212 citations). Stefano Discetti has collaborated with scholars based in Spain, Italy and Sweden. Frequent co-authors include Andrea Ianiro, Tommaso Astarita, Marco Raiola, Carlos Sanmiguel Vila, Ricardo Vinuesa, Philipp Schlatter, Alejandro Güemes, Gioacchino Cafiero, Ramis Örlü and Filippo Coletti. Their work appears in journals such as Experimental Thermal and Fluid Science, Measurement Science and Technology, Experiments in Fluids, Journal of Fluid Mechanics and Physics of Fluids.
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.