Marco Raiola
Impact in
- Computational Mechanics top 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 21
- Fluid Dynamics and Vibration Analysis 7
- Combustion and flame dynamics 1
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- Aerodynamics and Acoustics in Jet Flows 9
- Biomimetic flight and propulsion mechanisms 4
- Co-authors
- Stefano Discetti (21 shared papers)Andrea Ianiro (14 shared papers)J.‐M. Buchlin (1 shared paper)Alessandro Masullo (1 shared paper)Miguel Alfonso Mendez (1 shared paper)Raf Theunissen (1 shared paper)Ramis Örlü (3 shared papers)Junwei Chen (2 shared papers)
In The Last Decade
Marco Raiola
20 papers receiving 334 citations
Peers
Comparison fields: 5 of 50
- Computational Mechanics 277
- Statistical and Nonlinear Physics 85
- Aerospace Engineering 141
- Environmental Engineering 57
- Mechanical Engineering 79
Countries citing papers authored by Marco Raiola
This map shows the geographic impact of Marco Raiola'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 Marco Raiola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Raiola more than expected).
Fields of papers citing papers by Marco Raiola
This network shows the impact of papers produced by Marco Raiola. 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 Marco Raiola. The network helps show where Marco Raiola may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Raiola, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 113 | |
| 2 | 2015 | 52 | |
| 3 | 2017 | 29 | |
| 4 | 2019 | 22 | |
| 5 | 2016 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2016 | 17 | |
| 8 | 2018 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2016 | 1 |
About Marco Raiola
Marco Raiola is a scholar working on Computational Mechanics, Aerospace Engineering, Statistical and Nonlinear Physics, Environmental Engineering and Mechanical Engineering, having authored 25 papers that have together received 341 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (21 papers), Aerodynamics and Acoustics in Jet Flows (9 papers), Wind and Air Flow Studies (7 papers), Fluid Dynamics and Vibration Analysis (7 papers), Model Reduction and Neural Networks (7 papers), Heat Transfer Mechanisms (4 papers), Biomimetic flight and propulsion mechanisms (4 papers) and Combustion and flame dynamics (1 paper). The work is most often cited by research in Computational Mechanics (277 citations), Statistical and Nonlinear Physics (85 citations), Aerospace Engineering (141 citations), Environmental Engineering (57 citations) and Mechanical Engineering (79 citations). Marco Raiola has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Stefano Discetti, Andrea Ianiro, J.‐M. Buchlin, Alessandro Masullo, Miguel Alfonso Mendez, Raf Theunissen, Ramis Örlü, Junwei Chen, Carlo Salvatore Greco and Daniele Ragni. Their work appears in journals such as Experimental Thermal and Fluid Science, Measurement Science and Technology, International Journal of Heat and Mass Transfer, Applied Sciences and Applied Thermal Engineering.
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.