Juan M. Giménez

852 total citations
44 papers, 606 citations indexed

About

Juan M. Giménez is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Juan M. Giménez has authored 44 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 10 papers in Environmental Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Juan M. Giménez's work include Advanced Numerical Methods in Computational Mathematics (15 papers), Wind and Air Flow Studies (10 papers) and Fluid Dynamics Simulations and Interactions (10 papers). Juan M. Giménez is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (15 papers), Wind and Air Flow Studies (10 papers) and Fluid Dynamics Simulations and Interactions (10 papers). Juan M. Giménez collaborates with scholars based in Argentina, Spain and United States. Juan M. Giménez's co-authors include Facundo Bre, Vı́ctor D. Fachinotti, Norberto M. Nigro, Sergio R. Idelsohn, Eugenio Oñate, L. M. González, Santiago Márquez Damián, Julio Marti, Riccardo Rossi and Rainald Löhner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Juan M. Giménez

43 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan M. Giménez Argentina 14 259 208 124 101 59 44 606
Guirong Yan China 15 120 0.5× 112 0.5× 105 0.8× 69 0.7× 279 4.7× 82 656
Claire E. Heaney United Kingdom 12 172 0.7× 93 0.4× 96 0.8× 16 0.2× 66 1.1× 37 555
Basman Elhadidi Egypt 15 197 0.8× 117 0.6× 334 2.7× 27 0.3× 22 0.4× 56 610
Rafael dos Santos Gioria Brazil 13 248 1.0× 84 0.4× 128 1.0× 15 0.1× 101 1.7× 39 455
R. Montenegro Spain 14 342 1.3× 143 0.7× 54 0.4× 36 0.4× 22 0.4× 55 630
Mattias Liefvendahl Sweden 12 295 1.1× 127 0.6× 155 1.3× 9 0.1× 54 0.9× 36 607
Bubryur Kim South Korea 20 277 1.1× 315 1.5× 163 1.3× 92 0.9× 395 6.7× 46 982
Tian Li China 18 334 1.3× 309 1.5× 320 2.6× 17 0.2× 102 1.7× 68 908
Michiel Zaaijer Netherlands 12 124 0.5× 126 0.6× 318 2.6× 16 0.2× 202 3.4× 28 659
Luisa Pagnini Italy 17 209 0.8× 367 1.8× 266 2.1× 41 0.4× 396 6.7× 41 956

Countries citing papers authored by Juan M. Giménez

Since Specialization
Citations

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

Fields of papers citing papers by Juan M. Giménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Giménez. 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 Juan M. Giménez. The network helps show where Juan M. Giménez may publish in the future.

Co-authorship network of co-authors of Juan M. Giménez

This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Giménez. A scholar is included among the top collaborators of Juan M. Giménez 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 Juan M. Giménez. Juan M. Giménez 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.
Giménez, Juan M., et al.. (2025). A multiscale Pseudo-DNS approach for solving turbulent boundary-layer problems. Computer Methods in Applied Mechanics and Engineering. 437. 117804–117804. 3 indexed citations
2.
Oñate, Eugenio, Francisco Zárate, Juan M. Giménez, & Sergio R. Idelsohn. (2025). First order explicit time integration scheme with large time steps for parabolic problems using irregular grids. Advanced Modeling and Simulation in Engineering Sciences. 12(1).
3.
Bre, Facundo, et al.. (2024). Balcony design to improve natural ventilation and energy performance in high-rise mixed-mode office buildings. Building and Environment. 258. 111636–111636. 13 indexed citations
4.
Oñate, Eugenio, Francisco Zárate, Juan M. Giménez, Rainald Löhner, & Sergio R. Idelsohn. (2024). Fast explicit time integration schemes for parabolic problems in mechanics. International Journal for Numerical Methods in Engineering. 125(13). 1 indexed citations
5.
Silva, Fernando Marques da, et al.. (2024). Experimental Study of Wind Pressures on Low-Rise H-Shaped Buildings. Buildings. 14(3). 762–762. 1 indexed citations
6.
Giménez, Juan M., Sergio R. Idelsohn, & Eugenio Oñate. (2024). Fast prediction of rain erosion in wind turbine blades using a data-based computational tool. Journal of Hydrodynamics. 36(3). 504–518. 3 indexed citations
7.
Giménez, Juan M., et al.. (2024). Aerodynamic study of a moving Ahmed body by numerical simulation. Journal of Wind Engineering and Industrial Aerodynamics. 245. 105635–105635. 6 indexed citations
8.
Franci, Alessandro, et al.. (2024). Multiscale data-driven modeling of the thermomechanical behavior of granular media with thermal expansion effects. Computers and Geotechnics. 176. 106789–106789. 4 indexed citations
9.
Giménez, Juan M., et al.. (2024). A continuum–discrete multiscale methodology using machine learning for thermal analysis of granular media. Computers and Geotechnics. 168. 106118–106118. 9 indexed citations
10.
Idelsohn, Sergio R., et al.. (2023). The P-DNS Method for Turbulent Fluid Flows: An Overview. Archives of Computational Methods in Engineering. 31(2). 973–1021. 8 indexed citations
11.
Giménez, Juan M. & Facundo Bre. (2023). An enhanced k-ω SST model to predict airflows around isolated and urban buildings. Building and Environment. 237. 110321–110321. 23 indexed citations
12.
Giménez, Juan M., et al.. (2022). A data‐driven memory model for solving turbulent flows with the pseudo‐direct numerical simulation method. International Journal for Numerical Methods in Fluids. 95(1). 44–80. 6 indexed citations
13.
Idelsohn, Sergio R., Juan M. Giménez, & Norberto M. Nigro. (2022). The Pseudo-Direct Numerical Simulation Method considered as a Reduced Order Model. Advanced Modeling and Simulation in Engineering Sciences. 9(1). 3 indexed citations
14.
Idelsohn, Sergio R., et al.. (2019). A pseudo-DNS method for the simulation of incompressible fluid flows with instabilities at different scales. Computational Particle Mechanics. 7(1). 19–40. 16 indexed citations
15.
González, L. M., Juan M. Giménez, & Esteban Ferrer. (2019). Instability onset for submerged cylinders. Physics of Fluids. 31(1). 13 indexed citations
16.
Giménez, Juan M., et al.. (2016). An assessment of the potential of PFEM-2 for solving long real-time industrial applications. Computational Particle Mechanics. 4(3). 251–267. 6 indexed citations
17.
Giménez, Juan M., Norberto M. Nigro, Sergio R. Idelsohn, & Eugenio Oñate. (2016). Surface tension problems solved with the particle finite element method using large time-steps. Computers & Fluids. 141. 90–104. 10 indexed citations
18.
Giménez, Juan M., Norberto M. Nigro, & Sergio R. Idelsohn. (2014). Evaluating the performance of the particle finite element method in parallel architectures. Computational Particle Mechanics. 1(1). 103–116. 11 indexed citations
19.
Damián, Santiago Márquez, et al.. (2013). Modeling of Compressible Fluid Problems with OpenFOAM Using Dynamic Mesh Technology. 32(13). 995–1011. 10 indexed citations
20.
Giménez, Juan M., et al.. (2009). El sentido del chisme en una comunidad de pobres urbanos. SHILAP Revista de lepidopterología. 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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