Massimo Germano
- Computational Mechanics top 0.05%
- Fluid Dynamics and Turbulent Flows 31
- Fluid Dynamics and Vibration Analysis 15
- Computational Fluid Dynamics and Aerodynamics 8
- Combustion and flame dynamics 3
- Environmental Engineering top 0.2%
- Wind and Air Flow Studies 17
- Aerospace Engineering top 0.5%
- Atmospheric Science top 2%
- Meteorological Phenomena and Simulations 8
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- Laser-Plasma Interactions and Diagnostics 2
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- Probabilistic and Robust Engineering Design 2
Massimo Germano
37 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computational Mechanics 6.0k
- Environmental Engineering 2.6k
- Fluid Flow and Transfer Processes 533
- Aerospace Engineering 1.9k
- Atmospheric Science 902
Countries citing papers authored by Massimo Germano
This map shows the geographic impact of Massimo Germano'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 Massimo Germano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Germano more than expected).
Fields of papers citing papers by Massimo Germano
This network shows the impact of papers produced by Massimo Germano. 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 Massimo Germano. The network helps show where Massimo Germano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Germano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 13 | |
| 3 | 2020 | 1 | |
| 4 | 2019 | 12 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 16 | |
| 8 | 2015 | 10 | |
| 9 | 2011 | 4 | |
| 10 | 2009 | 17 | |
| 11 | 2007 | 6 | |
| 12 | 2004 | 70 | |
| 13 | 1999 | 35 | |
| 14 | A dynamic subgrid-scale eddy viscosity model | 1990 | 19 |
| 15 | 1989 | 125 | |
| 16 | 1988 | 2 | |
| 17 | 1986 | 124 | |
| 18 | 1986 | 142 | |
| 19 | 1982 | 203 | |
| 20 | 1978 | 1 |
About Massimo Germano
Massimo Germano is a scholar working on Computational Mechanics, Environmental Engineering, Atmospheric Science, Statistics, Probability and Uncertainty and Numerical Analysis, having authored 38 papers that have together received 7.1k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (31 papers), Wind and Air Flow Studies (17 papers), Fluid Dynamics and Vibration Analysis (15 papers), Meteorological Phenomena and Simulations (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Combustion and flame dynamics (3 papers), Laser-Plasma Interactions and Diagnostics (2 papers) and Probabilistic and Robust Engineering Design (2 papers). The work is most often cited by research in Computational Mechanics (6.0k citations), Environmental Engineering (2.6k citations), Fluid Flow and Transfer Processes (533 citations), Aerospace Engineering (1.9k citations) and Atmospheric Science (902 citations). Massimo Germano has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Parviz Moin, W. Cabot, Ugo Piomelli, Pierre Sagaut, Bernard J. Geurts, A.W. Vreman, J. G. M. Kuerten, Juan A. Sáenz, A. Cimarelli and Fernando F. Grinstein. Their work appears in journals such as Physics of Fluids, Journal of Fluid Mechanics, Flow Turbulence and Combustion, Journal of Turbulence and Physical Review 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.