Aymen Laadhari

402 total citations
23 papers, 281 citations indexed

About

Aymen Laadhari is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Aymen Laadhari has authored 23 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 8 papers in Fluid Flow and Transfer Processes and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Aymen Laadhari's work include Rheology and Fluid Dynamics Studies (8 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Blood properties and coagulation (5 papers). Aymen Laadhari is often cited by papers focused on Rheology and Fluid Dynamics Studies (8 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Blood properties and coagulation (5 papers). Aymen Laadhari collaborates with scholars based in Switzerland, United Arab Emirates and France. Aymen Laadhari's co-authors include Chaouqi Misbah, Pierre Saramito, Gábor Székely, Alfio Quarteroni, Ricardo Ruíz-Baier, Pierre Saramito, Christian Cherubini, Alessio Gizzi, Simone Rossi and Simonetta Filippi and has published in prestigious journals such as Journal of Computational Physics, International Journal for Numerical Methods in Engineering and Physics of Fluids.

In The Last Decade

Aymen Laadhari

22 papers receiving 278 citations

Peers

Aymen Laadhari
C.Y. Wang United States
Saikrishna Marella United States
Liya Asner United Kingdom
Taras P. Usyk United States
V. K. Sud India
Kushal Sinha United States
C.Y. Wang United States
Aymen Laadhari
Citations per year, relative to Aymen Laadhari Aymen Laadhari (= 1×) peers C.Y. Wang

Countries citing papers authored by Aymen Laadhari

Since Specialization
Citations

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

Fields of papers citing papers by Aymen Laadhari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aymen Laadhari

This figure shows the co-authorship network connecting the top 25 collaborators of Aymen Laadhari. A scholar is included among the top collaborators of Aymen Laadhari 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 Aymen Laadhari. Aymen Laadhari 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.
Laadhari, Aymen & Helmi Temimi. (2024). Efficient finite element strategy using enhanced high-order and second-derivative-free variants of Newton's method. Applied Mathematics and Computation. 486. 129058–129058.
2.
Kassim, Mohammed D., et al.. (2023). Nonexistence results for a sequential fractional differential problem. Mathematical Methods in the Applied Sciences. 46(15). 16305–16317. 1 indexed citations
3.
Laadhari, Aymen, et al.. (2023). Hydrodynamics simulation of red blood cells: Employing a penalty method with double jump composition of lower order time integrator. Mathematical Methods in the Applied Sciences. 46(18). 19035–19061. 1 indexed citations
4.
Laadhari, Aymen, Yves Barral, & Gábor Székely. (2023). A data‐driven optimal control method for endoplasmic reticulum membrane compartmentalization in budding yeast cells. Mathematical Methods in the Applied Sciences. 46(8). 8855–8876. 5 indexed citations
5.
Shariff, M.H.B.M., J. Merodio, R. Bustamante, & Aymen Laadhari. (2023). A Non-Second-Gradient Model for Nonlinear Electroelastic Bodies with Fibre Stiffness. Symmetry. 15(5). 1065–1065. 2 indexed citations
6.
7.
Laadhari, Aymen. (2018). Implicit finite element methodology for the numerical modeling of incompressible two-fluid flows with moving hyperelastic interface. Applied Mathematics and Computation. 333. 376–400. 7 indexed citations
8.
Laadhari, Aymen. (2017). Exact Newton method with third-order convergence to model the dynamics of bubbles in incompressible flow. Applied Mathematics Letters. 69. 138–145. 6 indexed citations
9.
Laadhari, Aymen, Pierre Saramito, Chaouqi Misbah, & Gábor Székely. (2017). Fully implicit methodology for the dynamics of biomembranes and capillary interfaces by combining the level set and Newton methods. Journal of Computational Physics. 343. 271–299. 13 indexed citations
10.
Laadhari, Aymen & Gábor Székely. (2017). Warning About The Risk Of Blood Flow Stagnation After Transcatheter Aortic Valve Implantation. Zenodo (CERN European Organization for Nuclear Research). 11(1). 33–37. 2 indexed citations
11.
Laadhari, Aymen & Gábor Székely. (2016). Eulerian finite element method for the numerical modeling of fluid dynamics of natural and pathological aortic valves. Journal of Computational and Applied Mathematics. 319. 236–261. 16 indexed citations
12.
Laadhari, Aymen & Gábor Székely. (2016). Fully implicit finite element method for the modeling of free surface flows with surface tension effect. International Journal for Numerical Methods in Engineering. 111(11). 1047–1074. 14 indexed citations
13.
Laadhari, Aymen, Pierre Saramito, & Chaouqi Misbah. (2015). An adaptive finite element method for the modeling of the equilibrium of red blood cells. International Journal for Numerical Methods in Fluids. 80(7). 397–428. 14 indexed citations
14.
Laadhari, Aymen & Alfio Quarteroni. (2015). Numerical modeling of heart valves using resistive Eulerian surfaces. International Journal for Numerical Methods in Biomedical Engineering. 32(5). 15 indexed citations
15.
Hirsch, Sven, et al.. (2015). A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences). 130. 1393–1397. 2 indexed citations
16.
Ruíz-Baier, Ricardo, Alessio Gizzi, Simone Rossi, et al.. (2013). Mathematical modelling of active contraction in isolated cardiomyocytes. Mathematical Medicine and Biology A Journal of the IMA. 31(3). 259–283. 44 indexed citations
17.
Laadhari, Aymen, Ricardo Ruíz-Baier, & Alfio Quarteroni. (2013). Fully Eulerian finite element approximation of a fluid‐structure interaction problem in cardiac cells. International Journal for Numerical Methods in Engineering. 96(11). 712–738. 19 indexed citations
18.
Laadhari, Aymen, Pierre Saramito, & Chaouqi Misbah. (2012). Vesicle tumbling inhibited by inertia. Physics of Fluids. 24(3). 37 indexed citations
19.
Laadhari, Aymen, Chaouqi Misbah, & Pierre Saramito. (2010). On the equilibrium equation for a generalized biological membrane energy by using a shape optimization approach. Physica D Nonlinear Phenomena. 239(16). 1567–1572. 25 indexed citations
20.
Laadhari, Aymen, Pierre Saramito, & Chaouqi Misbah. (2010). Improving the mass conservation of the level set method in a finite element context. Comptes Rendus Mathématique. 348(9-10). 535–540. 16 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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