Simon Mendez

2.4k total citations
65 papers, 1.7k citations indexed

About

Simon Mendez is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine and Aerospace Engineering. According to data from OpenAlex, Simon Mendez has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 22 papers in Pulmonary and Respiratory Medicine and 16 papers in Aerospace Engineering. Recurrent topics in Simon Mendez's work include Fluid Dynamics and Turbulent Flows (18 papers), Blood properties and coagulation (16 papers) and Aerodynamics and Acoustics in Jet Flows (13 papers). Simon Mendez is often cited by papers focused on Fluid Dynamics and Turbulent Flows (18 papers), Blood properties and coagulation (16 papers) and Aerodynamics and Acoustics in Jet Flows (13 papers). Simon Mendez collaborates with scholars based in France, United States and Germany. Simon Mendez's co-authors include Franck Nicoud, Manouk Abkarian, Christophe Chnafa, Mohammad Shoeybi, Jeff D. Eldredge, Parviz Moin, Howard A. Stone, Sanjiva K. Lele, Fan Yang and Dmitry A. Fedosov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Simon Mendez

64 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Mendez France 23 701 622 467 328 269 65 1.7k
Denis Doorly United Kingdom 23 469 0.7× 668 1.1× 217 0.5× 198 0.6× 293 1.1× 76 1.9k
Mark Jermy New Zealand 20 429 0.6× 311 0.5× 185 0.4× 315 1.0× 154 0.6× 114 1.4k
Jean Hertzberg United States 23 388 0.6× 513 0.8× 207 0.4× 288 0.9× 555 2.1× 82 1.6k
Hsin‐Hui Chiu Taiwan 22 683 1.0× 310 0.5× 256 0.5× 120 0.4× 280 1.0× 88 1.7k
Andrew L. Hazel United Kingdom 23 893 1.3× 576 0.9× 66 0.1× 547 1.7× 280 1.0× 67 2.4k
Christopher J. Elkins United States 24 1.0k 1.5× 280 0.5× 736 1.6× 175 0.5× 209 0.8× 122 1.9k
Jung-Hee Seo United States 21 1.0k 1.4× 88 0.1× 569 1.2× 286 0.9× 340 1.3× 73 1.8k
Greg W. Burgreen United States 21 509 0.7× 358 0.6× 156 0.3× 636 1.9× 244 0.9× 68 1.6k
Yang Na South Korea 23 1.2k 1.7× 208 0.3× 500 1.1× 226 0.7× 19 0.1× 103 2.2k
Josie Carberry Australia 14 445 0.6× 366 0.6× 110 0.2× 222 0.7× 387 1.4× 36 1.4k

Countries citing papers authored by Simon Mendez

Since Specialization
Citations

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

Fields of papers citing papers by Simon Mendez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Mendez. 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 Simon Mendez. The network helps show where Simon Mendez may publish in the future.

Co-authorship network of co-authors of Simon Mendez

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Mendez. A scholar is included among the top collaborators of Simon Mendez 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 Simon Mendez. Simon Mendez 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.
Mendez, Simon, et al.. (2024). Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(11). 1377–1388. 5 indexed citations
2.
3.
Mendez, Simon, et al.. (2023). Critical evaluation of kinetic schemes for coagulation. PLoS ONE. 18(8). e0290531–e0290531. 1 indexed citations
4.
Nicoud, Franck, et al.. (2021). Impact of the membrane viscosity on the tank-treading behavior of red blood cells. Physical Review Fluids. 6(4). 15 indexed citations
5.
Mendez, Simon, et al.. (2021). A theoretical investigation of the frisbee motion of red blood cells in shear flow. Mathematical Modelling of Natural Phenomena. 16. 23–23. 3 indexed citations
6.
Mendez, Simon, et al.. (2021). Model-based assessment of the risks of viral transmission in non-confined crowds. Safety Science. 144. 105453–105453. 20 indexed citations
7.
Mendez, Simon, Olivier Bernard, Nicolas Ducros, et al.. (2021). Physics-constrained intraventricular vector flow mapping by color Doppler. Physics in Medicine and Biology. 66(24). 245019–245019. 11 indexed citations
8.
Abkarian, Manouk, Simon Mendez, Nan Xue, Fan Yang, & Howard A. Stone. (2020). Speech can produce jet-like transport relevant to asymptomatic spreading of virus. arXiv (Cornell University). 150 indexed citations
9.
Charrier, Anne, et al.. (2019). Self-organization of red blood cell suspensions under confined 2D flows. Soft Matter. 15(14). 2971–2980. 18 indexed citations
10.
Mendez, Simon, et al.. (2019). Kinetics of the coagulation cascade including the contact activation system: sensitivity analysis and model reduction. Biomechanics and Modeling in Mechanobiology. 18(4). 1139–1153. 18 indexed citations
11.
Mendez, Simon, et al.. (2018). Introducing the pro-coagulant contact system in the numerical assessment of device-related thrombosis. Biomechanics and Modeling in Mechanobiology. 17(3). 815–826. 24 indexed citations
12.
Chnafa, Christophe, Simon Mendez, Franck Nicoud, et al.. (2017). Intraventricular vector flow mapping—a Doppler-based regularized problem with automatic model selection. Physics in Medicine and Biology. 62(17). 7131–7147. 25 indexed citations
13.
Khan, Muhammad Owais, Christophe Chnafa, David A. Steinman, Simon Mendez, & Franck Nicoud. (2016). Large Eddy Simulation of “turbulent-like” flow in intracranial aneurysms. Bulletin of the American Physical Society. 1 indexed citations
14.
Lanotte, Luca, Johannes Mauer, Simon Mendez, et al.. (2016). Red cells’ dynamic morphologies govern blood shear thinning under microcirculatory flow conditions. Proceedings of the National Academy of Sciences. 113(47). 13289–13294. 187 indexed citations
15.
Loiseau, Étienne, Gladys Massiera, Simon Mendez, Patricia Martínez, & Manouk Abkarian. (2015). Microfluidic Study of Enhanced Deposition of Sickle Cells at Acute Corners. Biophysical Journal. 108(11). 2623–2632. 18 indexed citations
16.
Ambard, Dominique, F Jourdan, Franck Nicoud, et al.. (2014). Intracranial Aneurysmal Pulsatility as a New Individual Criterion for Rupture Risk Evaluation: Biomechanical and Numeric Approach (IRRAs Project). American Journal of Neuroradiology. 35(9). 1765–1771. 18 indexed citations
17.
Mendez, Simon, et al.. (2014). Characterisation of a dedicated mechanical model for red blood cells: numerical simulations of optical tweezers experiment. Computer Methods in Biomechanics & Biomedical Engineering. 17(sup1). 28–29. 2 indexed citations
18.
Sigüenza, Juan A., et al.. (2013). Towards numerical prediction of red blood cells dynamics within a cytometer. Computer Methods in Biomechanics & Biomedical Engineering. 16(sup1). 9–10. 1 indexed citations
19.
Duchaine, Florent, et al.. (2009). Conjugate heat transfer with Large Eddy Simulation for gas turbine components. Comptes Rendus Mécanique. 337(6-7). 550–561. 33 indexed citations
20.
Duchaine, Florent, et al.. (2008). Coupling heat transfer solvers and large eddy simulations for combustion applications. 7(12). 1643–53. 10 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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