Mauro Carnevale
- Aerospace Engineering top 5%
- Computational Mechanics top 5%
- Mechanical Engineering
- Statistics, Probability and Uncertainty top 2%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Simone SalvadoriLuca di MareFrancesco MontomoliFrancesco MartelliLiliana RodolfiDavid CasiniMatteo PrussiMarco Buffi
- Topics
- Turbomachinery Performance and Optimization (36 papers)Fluid Dynamics and Turbulent Flows (20 papers)Computational Fluid Dynamics and Aerodynamics (20 papers)
- Journals
- International Journal of Heat and Mass TransferComputer Physics CommunicationsBiomass and Bioenergy
- Partner nations
- United KingdomItalyFrance
In The Last Decade
Mauro Carnevale
57 papers receiving 510 citations
Peers
Comparison fields: 5 of 61
- Aerospace Engineering 288
- Computational Mechanics 268
- Mechanical Engineering 138
- Statistics, Probability and Uncertainty 97
- Renewable Energy, Sustainability and the Environment 53
Countries citing papers authored by Mauro Carnevale
This map shows the geographic impact of Mauro Carnevale'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 Mauro Carnevale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Carnevale more than expected).
Fields of papers citing papers by Mauro Carnevale
This network shows the impact of papers produced by Mauro Carnevale. 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 Mauro Carnevale. The network helps show where Mauro Carnevale may publish in the future.
Co-authorship network of co-authors of Mauro Carnevale
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Carnevale. A scholar is included among the top collaborators of Mauro Carnevale 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 Mauro Carnevale. Mauro Carnevale 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 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 23 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | On the Assessment of an Unstructured Finite-Volume DES/LES Solver for Turbomachinery Applications | 7 |
| 20 | 9 |
About Mauro Carnevale
Mauro Carnevale is a scholar working on Aerospace Engineering, Computational Mechanics and Statistics, Probability and Uncertainty, having authored 58 papers that have together received 519 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (36 papers), Fluid Dynamics and Turbulent Flows (20 papers) and Computational Fluid Dynamics and Aerodynamics (20 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (97 citations), Computational Mechanics (268 citations) and Aerospace Engineering (288 citations). Mauro Carnevale has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Simone Salvadori, Luca di Mare, Francesco Montomoli, Francesco Martelli, Liliana Rodolfi, David Casini, Matteo Prussi, Marco Buffi, David Chiaramonti and Mario R. Tredici. Their work appears in journals such as International Journal of Heat and Mass Transfer, Computer Physics Communications and Biomass and Bioenergy.
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.