M. Napolitano
- Computational Mechanics top 1%
- Aerospace Engineering top 5%
- Applied Mathematics top 5%
- Fluid Flow and Transfer Processes top 5%
- Biomedical Engineering
- Co-authors
- G. PascazioP. De PalmaL. QuartapelleMarco D. de TullioGianluca IaccarinoA. DadoneRobert T. DavisM. J. Werle
- Topics
- Computational Fluid Dynamics and Aerodynamics (54 papers)Fluid Dynamics and Turbulent Flows (50 papers)Advanced Numerical Methods in Computational Mathematics (31 papers)
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
M. Napolitano
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Computational Mechanics 1.1k
- Aerospace Engineering 313
- Applied Mathematics 113
- Fluid Flow and Transfer Processes 93
- Biomedical Engineering 87
Countries citing papers authored by M. Napolitano
This map shows the geographic impact of M. Napolitano'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 M. Napolitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Napolitano more than expected).
Fields of papers citing papers by M. Napolitano
This network shows the impact of papers produced by M. Napolitano. 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 M. Napolitano. The network helps show where M. Napolitano may publish in the future.
Co-authorship network of co-authors of M. Napolitano
This figure shows the co-authorship network connecting the top 25 collaborators of M. Napolitano. A scholar is included among the top collaborators of M. Napolitano 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 M. Napolitano. M. Napolitano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Ricostruire commedie perdute: uno sguardo di buon senso | 0 |
| 2 | 2 | |
| 3 | 31 | |
| 4 | Recent advances in the immersed boundary method | 5 |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | A Numerical Method for Turbomachinery Aeroelasticity (2002-GT-30321) | 0 |
| 10 | Rhysmos. Studi di poesia, metrica e musica greca offerti dagli allievi a Luigi Enrico Rossi per i suoi settant'anni | 0 |
| 11 | 16 | |
| 12 | Development of cell-vertex multidimensional upwind solvers for the compressible flow equations | 7 |
| 13 | 12 | |
| 14 | 4 | |
| 15 | An Incremental Multigrid Strategy for the Fluid Dynamics Equations. | 1 |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 2 |
About M. Napolitano
M. Napolitano is a scholar working on Computational Mechanics, Numerical Analysis and Applied Mathematics, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (54 papers), Fluid Dynamics and Turbulent Flows (50 papers) and Advanced Numerical Methods in Computational Mathematics (31 papers). The work is most often cited by research in Computational Mechanics (1.1k citations), Fluid Flow and Transfer Processes (93 citations) and Aerospace Engineering (313 citations). M. Napolitano has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include G. Pascazio, P. De Palma, L. Quartapelle, Marco D. de Tullio, Gianluca Iaccarino, A. Dadone, Robert T. Davis, M. J. Werle, Paolo Orlandi and Paola Cinnella. Their work appears in journals such as Journal of Computational Physics, AIAA Journal 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.