Rodrigo R. Paz

1.8k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Rodrigo R. Paz is a scholar working on Computational Mechanics, Hardware and Architecture and Aerospace Engineering. According to data from OpenAlex, Rodrigo R. Paz has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 7 papers in Hardware and Architecture and 7 papers in Aerospace Engineering. Recurrent topics in Rodrigo R. Paz's work include Computational Fluid Dynamics and Aerodynamics (14 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Rodrigo R. Paz is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (14 papers), Advanced Numerical Methods in Computational Mathematics (13 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Rodrigo R. Paz collaborates with scholars based in Argentina, United States and Brazil. Rodrigo R. Paz's co-authors include Lisandro Dalcín, Mario A. Storti, Pablo A. Kler, Alejandro Cósimo, Jorge D’Elía, Norberto M. Nigro, Tayfun E. Tezduyar, Sergio R. Idelsohn, Federico Márquez and Néstor Calvo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Rodrigo R. Paz

35 papers receiving 1.1k citations

Hit Papers

Parallel distributed computing using Python 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rodrigo R. Paz Argentina 13 338 149 127 124 118 37 1.1k
Mario A. Storti Argentina 20 772 2.3× 103 0.7× 193 1.5× 92 0.7× 65 0.6× 129 1.6k
Jason Hickey United States 14 128 0.4× 290 1.9× 153 1.2× 164 1.3× 94 0.8× 55 1.5k
Atılım Güneş Baydin United Kingdom 8 287 0.8× 401 2.7× 166 1.3× 52 0.4× 77 0.7× 18 1.6k
Lorena A. Barba United States 17 262 0.8× 82 0.6× 116 0.9× 56 0.5× 38 0.3× 64 875
Paul F. Dubois United States 12 152 0.4× 129 0.9× 65 0.5× 63 0.5× 31 0.3× 56 1.1k
Mitsuo Yokokawa Japan 22 748 2.2× 55 0.4× 65 0.5× 185 1.5× 260 2.2× 72 1.6k
Lisandro Dalcín Saudi Arabia 21 975 2.9× 348 2.3× 121 1.0× 306 2.5× 53 0.4× 79 2.7k
Mark A. Taylor United States 34 962 2.8× 29 0.2× 57 0.4× 232 1.9× 190 1.6× 104 3.2k
Matthew G. Knepley United States 17 300 0.9× 47 0.3× 48 0.4× 31 0.3× 31 0.3× 65 1.0k
Atsuya Uno Japan 16 682 2.0× 29 0.2× 50 0.4× 166 1.3× 247 2.1× 34 1.3k

Countries citing papers authored by Rodrigo R. Paz

Since Specialization
Citations

This map shows the geographic impact of Rodrigo R. Paz'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 Rodrigo R. Paz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo R. Paz more than expected).

Fields of papers citing papers by Rodrigo R. Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rodrigo R. Paz. 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 Rodrigo R. Paz. The network helps show where Rodrigo R. Paz may publish in the future.

Co-authorship network of co-authors of Rodrigo R. Paz

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo R. Paz. A scholar is included among the top collaborators of Rodrigo R. Paz 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 Rodrigo R. Paz. Rodrigo R. Paz 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.
Leonardi, María Soledad, et al.. (2024). The deeper the rounder: body shape variation in lice parasitizing diving hosts. Scientific Reports. 14(1). 20947–20947. 1 indexed citations
2.
Kovarovic, Brandon, et al.. (2024). Thrombogenic Risk Assessment of Transcatheter Prosthetic Heart Valves Using a Fluid-Structure Interaction Approach. Computer Methods and Programs in Biomedicine. 257. 108469–108469. 1 indexed citations
3.
Buscaglia, Gustavo C., Rodrigo R. Paz, Facundo Del Pin, et al.. (2023). Three‐dimensional fluid–structure interaction simulation of the Wheatley aortic valve. International Journal for Numerical Methods in Biomedical Engineering. 40(2). e3792–e3792. 2 indexed citations
4.
Pin, Facundo Del, et al.. (2019). On the performance and accuracy of PFEM-2 in the solution of biomedical benchmarks. Computational Particle Mechanics. 7(1). 121–138. 1 indexed citations
5.
Paz, Rodrigo R., et al.. (2017). Evaluation of the proper coherence representation in random flow generation based methods. Journal of Wind Engineering and Industrial Aerodynamics. 168. 211–227. 5 indexed citations
6.
Azevedo, Soledad de, Macarena González, Celia Cintas, et al.. (2017). Nasal airflow simulations suggest convergent adaptation in Neanderthals and modern humans. Proceedings of the National Academy of Sciences. 114(47). 12442–12447. 31 indexed citations
7.
Storti, Mario A., et al.. (2013). GPGPU implementation of the BFECC algorithm for pure advection equations. Cluster Computing. 17(2). 243–254. 3 indexed citations
8.
Storti, Mario A., et al.. (2013). A FFT preconditioning technique for the solution of incompressible flow on GPUs. Computers & Fluids. 74. 44–57. 10 indexed citations
9.
Paz, Rodrigo R., et al.. (2012). A time and space correlated turbulence synthesis method for Large Eddy Simulations. Journal of Computational Physics. 235. 742–763. 57 indexed citations
10.
Paz, Rodrigo R., et al.. (2012). FastMat: A C++ library for multi-index array computations. Advances in Engineering Software. 54. 38–48.
11.
Storti, Mario A., et al.. (2012). Algoritmos y Estructuras de Datos.
12.
Storti, Mario A., et al.. (2011). A finite element formulation satisfying the discrete geometric conservation law based on averaged Jacobians. International Journal for Numerical Methods in Fluids. 69(12). 1872–1890. 7 indexed citations
13.
Paz, Rodrigo R., et al.. (2011). USING HYBRID PARALLEL PROGRAMMING TECHNIQUES FOR THE COMPUTATION, ASSEMBLY AND SOLUTION STAGES IN FINITE ELEMENT CODES. 41(4). 365–377. 1 indexed citations
14.
Dalcín, Lisandro, Rodrigo R. Paz, Pablo A. Kler, & Alejandro Cósimo. (2011). Parallel distributed computing using Python. Advances in Water Resources. 34(9). 1124–1139. 333 indexed citations breakdown →
15.
Paz, Rodrigo R., et al.. (2010). Local absorbent boundary condition for non-linear hyperbolic problems with unknown Riemann invariants. Computers & Fluids. 40(1). 52–67. 5 indexed citations
16.
Paz, Rodrigo R., et al.. (2010). Fluid–structure interaction study of the start-up of a rocket engine nozzle. Computers & Fluids. 39(7). 1208–1218. 34 indexed citations
17.
Paz, Rodrigo R., et al.. (2009). Absorbing Boundary Condition for Nonlinear Hyperbolic Partial Diferential Equations with Unknown Riemann Invariants. 28(19). 1593–1620. 4 indexed citations
18.
Storti, Mario A., Norberto M. Nigro, Rodrigo R. Paz, & Lisandro Dalcín. (2008). Strong coupling strategy for fluid–structure interaction problems in supersonic regime via fixed point iteration. Journal of Sound and Vibration. 320(4-5). 859–877. 23 indexed citations
19.
Storti, Mario A., Norberto M. Nigro, Rodrigo R. Paz, & Lisandro Dalcín. (2007). Dynamic boundary conditions in computational fluid dynamics. Computer Methods in Applied Mechanics and Engineering. 197(13-16). 1219–1232. 18 indexed citations
20.
Dalcín, Lisandro, Rodrigo R. Paz, & Mario A. Storti. (2005). MPI for Python. Journal of Parallel and Distributed Computing. 65(9). 1108–1115. 267 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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