Carlos Pantano

3.1k total citations
83 papers, 2.3k citations indexed

About

Carlos Pantano is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Carlos Pantano has authored 83 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computational Mechanics, 20 papers in Aerospace Engineering and 19 papers in Applied Mathematics. Recurrent topics in Carlos Pantano's work include Computational Fluid Dynamics and Aerodynamics (38 papers), Fluid Dynamics and Turbulent Flows (35 papers) and Combustion and flame dynamics (24 papers). Carlos Pantano is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (38 papers), Fluid Dynamics and Turbulent Flows (35 papers) and Combustion and flame dynamics (24 papers). Carlos Pantano collaborates with scholars based in United States, United Kingdom and France. Carlos Pantano's 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 and has published in prestigious journals such as Journal of Applied Physics, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Carlos Pantano

80 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carlos Pantano United States 24 1.9k 755 444 250 198 83 2.3k
Stefan Hickel Germany 32 2.4k 1.3× 952 1.3× 206 0.5× 188 0.8× 64 0.3× 127 2.9k
Johan Larsson United States 30 3.4k 1.8× 1.4k 1.9× 486 1.1× 79 0.3× 149 0.8× 91 3.9k
H. A. Hassan United States 25 1.6k 0.8× 882 1.2× 883 2.0× 101 0.4× 153 0.8× 109 2.1k
G. M. Makhviladze United Kingdom 14 1.0k 0.5× 882 1.2× 151 0.3× 372 1.5× 65 0.3× 69 2.1k
Mark Gruber United States 35 4.0k 2.1× 2.8k 3.7× 501 1.1× 297 1.2× 185 0.9× 110 4.4k
Javier Urzay United States 22 1.3k 0.6× 500 0.7× 201 0.5× 271 1.1× 47 0.2× 46 1.6k
James C. McDaniel United States 27 1.6k 0.8× 965 1.3× 412 0.9× 168 0.7× 209 1.1× 124 2.2k
Masoud Darbandi Iran 24 1.2k 0.6× 546 0.7× 747 1.7× 116 0.5× 169 0.9× 184 1.9k
Joanna M. Austin United States 27 1.0k 0.5× 1.4k 1.9× 516 1.2× 59 0.2× 161 0.8× 103 2.2k
David W. Bogdanoff United States 21 1.3k 0.7× 1.4k 1.9× 858 1.9× 41 0.2× 146 0.7× 87 2.0k

Countries citing papers authored by Carlos Pantano

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Pantano, Carlos, et al.. (2024). A parallel geometric contact algorithm for thin shell finite elements in explicit time integration. Computers & Structures. 305. 107567–107567. 1 indexed citations
2.
Yu, Hang & Carlos Pantano. (2023). A regularized projection immersed boundary method for smooth boundary forces. Journal of Computational Physics. 496. 112571–112571. 1 indexed citations
3.
Munafò, Alessandro, et al.. (2022). Non-equilibrium plasma generation via nano-second multi-mode laser pulses. Journal of Applied Physics. 131(3). 6 indexed citations
4.
Pantano, Carlos, et al.. (2022). Flow and Combustion in a Supersonic Cavity Flameholder. AIAA Journal. 60(8). 4566–4577. 9 indexed citations
5.
Freund, Jonathan B., et al.. (2021). Stationary ethylene–air edge flames in a wedge-shaped region at low and high strain rates. Combustion Theory and Modelling. 25(6). 1039–1063. 1 indexed citations
6.
Munafò, Alessandro, et al.. (2020). Collinear dual-pulse laser optical breakdown and energy deposition. Journal of Physics D Applied Physics. 53(20). 205202–205202. 21 indexed citations
7.
Munafò, Alessandro, Munetake Nishihara, Carlos Pantano, et al.. (2019). Laser-induced non-equilibrium plasma kernel dynamics. Journal of Physics D Applied Physics. 53(2). 25201–25201. 53 indexed citations
8.
Munafò, Alessandro, et al.. (2019). Supersonic and hypersonic non-equilibrium flow control using laser energy deposition. AIAA Aviation 2019 Forum. 6 indexed citations
9.
Pantano, Carlos, et al.. (2019). Accounting for uncertainty in RCCE species selection. Combustion and Flame. 208. 219–234. 4 indexed citations
10.
Pantano, Carlos, et al.. (2017). Inviscid linear stability analysis of two vertical columns of different densities in a gravitational acceleration field. Journal of Fluid Mechanics. 826. 1 indexed citations
11.
Cirak, Fehmi, et al.. (2013). Fluid–Structure Interaction Simulations of a Tension-Cone Inflatable Aerodynamic Decelerator. AIAA Journal. 51(7). 1640–1656. 14 indexed citations
12.
Freund, Jonathan B., et al.. (2013). A diffuse interface model with immiscibility preservation. Journal of Computational Physics. 252. 290–309. 113 indexed citations
13.
Pantano, Carlos, et al.. (2011). An asymptotically consistent diffuse interface method for simulating bubble dynamics in inhomogeneous environments. Bulletin of the American Physical Society. 64. 1 indexed citations
14.
Kronenburg, Andreas, et al.. (2008). On the spatial length scales of scalar dissipation in turbulent jet flames. Journal of Fluid Mechanics. 596. 103–132. 7 indexed citations
15.
Pantano, Carlos, Ralf Deiterding, D. J. Hill, & D. I. Pullin. (2006). A low-numerical dissipation, patch-based adaptive-mesh-refinement method for large-eddy simulation of compressible flows. Journal of Physics Conference Series. 46. 48–52. 4 indexed citations
16.
Pantano, Carlos, Ralf Deiterding, D. J. Hill, & D. I. Pullin. (2005). Large Eddy simulation of compressible flows with a low-numerical dissipation patch-based adaptive mesh refinement method. Bulletin of the American Physical Society. 58. 1 indexed citations
17.
Pantano, Carlos, S. Sarkar, & Forman A. Williams. (2003). Mixing of a conserved scalar in a turbulent reacting shear layer. Journal of Fluid Mechanics. 481. 291–328. 86 indexed citations
18.
Sarkar, Sutanu, et al.. (1999). A subgrid scale model for scalar moments encountered in turbulent combustion. APS Division of Fluid Dynamics Meeting Abstracts. 1 indexed citations
19.
Pantano, Carlos & Sutanu Sarkar. (1997). DNS of Mixing in Compressible Turbulent Shear Layers. APS Division of Fluid Dynamics Meeting Abstracts. 1 indexed citations
20.
Gañán‐Calvo, Alfonso M., Carlos Pantano, & Antonio Barrero. (1996). The equilibrium shapes of liquid menisci emitting liquid and charges in steady cone-jet mode. Journal of Aerosol Science. 27. S187–S188. 1 indexed citations

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.

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