Carlos Pantano
- Computational Mechanics top 0.5%
- Aerospace Engineering top 1%
- Applied Mathematics top 1%
- Fluid Flow and Transfer Processes top 2%
- Electrical and Electronic Engineering
- Co-authors
- S. SarkarJonathan B. FreundD. I. PullinD. J. HillRichard SaurelRatnesh K. ShuklaAlessandro MunafòMarco Panesi
- Topics
- Computational Fluid Dynamics and Aerodynamics (38 papers)Fluid Dynamics and Turbulent Flows (35 papers)Combustion and flame dynamics (24 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Carlos Pantano
80 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 62
- Computational Mechanics 1.9k
- Aerospace Engineering 755
- Applied Mathematics 444
- Fluid Flow and Transfer Processes 250
- Electrical and Electronic Engineering 198
Countries citing papers authored by Carlos Pantano
This map shows the geographic impact of Carlos Pantano'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 Carlos Pantano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Pantano more than expected).
Fields of papers citing papers by Carlos Pantano
This network shows the impact of papers produced by Carlos Pantano. 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 Carlos Pantano. The network helps show where Carlos Pantano may publish in the future.
Co-authorship network of co-authors of Carlos Pantano
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Pantano. A scholar is included among the top collaborators of Carlos Pantano 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 Carlos Pantano. Carlos Pantano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 53 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 113 | |
| 11 | 14 | |
| 12 | An asymptotically consistent diffuse interface method for simulating bubble dynamics in inhomogeneous environments | 1 |
| 13 | 186 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 162 | |
| 17 | Large Eddy simulation of compressible flows with a low-numerical dissipation patch-based adaptive mesh refinement method | 1 |
| 18 | 26 | |
| 19 | A subgrid scale model for scalar moments encountered in turbulent combustion | 1 |
| 20 | DNS of Mixing in Compressible Turbulent Shear Layers | 1 |
About Carlos Pantano
Carlos Pantano is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Applied Mathematics, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (38 papers), Fluid Dynamics and Turbulent Flows (35 papers) and Combustion and flame dynamics (24 papers). The work is most often cited by research in Computational Mechanics (1.9k citations), Applied Mathematics (444 citations) and Fluid Flow and Transfer Processes (250 citations). Carlos Pantano has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include S. Sarkar, Jonathan B. Freund, D. I. Pullin, D. J. Hill, Richard Saurel, Ratnesh K. Shukla, Alessandro Munafò, Marco Panesi, Alfonso M. Gañán‐Calvo and Antonio Barrero. Their work appears in journals such as Journal of Applied Physics, Journal of Fluid Mechanics and Journal of Computational Physics.
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.