Mohamed Farhat

6.5k total citations · 1 hit paper
174 papers, 5.3k citations indexed

About

Mohamed Farhat is a scholar working on Mechanics of Materials, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Mohamed Farhat has authored 174 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Mechanics of Materials, 69 papers in Computational Mechanics and 59 papers in Mechanical Engineering. Recurrent topics in Mohamed Farhat's work include Cavitation Phenomena in Pumps (95 papers), Hydraulic and Pneumatic Systems (50 papers) and Ultrasound and Cavitation Phenomena (37 papers). Mohamed Farhat is often cited by papers focused on Cavitation Phenomena in Pumps (95 papers), Hydraulic and Pneumatic Systems (50 papers) and Ultrasound and Cavitation Phenomena (37 papers). Mohamed Farhat collaborates with scholars based in Switzerland, Japan and Spain. Mohamed Farhat's co-authors include François Avellan, Eduard Egusquiza, Xavier Escaler, Danail Obreschkow, Matthieu Dreyer, Huaiyu Cheng, Bin Ji, Xinping Long, Outi Supponen and Xiaoxing Peng and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and PLoS ONE.

In The Last Decade

Mohamed Farhat

166 papers receiving 5.1k citations

Hit Papers

Large eddy simulation of the tip-leakage cavitating flow ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Farhat Switzerland 42 3.2k 2.1k 2.1k 1.1k 1.1k 174 5.3k
Raùl Radovitzky United States 34 1.7k 0.5× 731 0.3× 955 0.5× 1.0k 0.9× 669 0.6× 83 3.5k
Yong Kang China 33 2.1k 0.7× 518 0.2× 1.2k 0.6× 355 0.3× 594 0.6× 152 3.6k
Zhanli Liu China 31 1.8k 0.6× 325 0.2× 1.5k 0.7× 1.4k 1.3× 607 0.6× 214 3.8k
John P. Dear United Kingdom 36 1.8k 0.6× 517 0.2× 2.1k 1.0× 1.0k 0.9× 858 0.8× 177 4.1k
Manolis Gavaises United Kingdom 46 1.4k 0.5× 4.3k 2.0× 1.1k 0.5× 980 0.9× 160 0.1× 224 7.3k
Moubin Liu China 46 2.0k 0.6× 6.4k 3.0× 792 0.4× 1.3k 1.2× 1.5k 1.4× 171 8.0k
George Z. Voyiadjis United States 57 7.7k 2.4× 520 0.2× 4.2k 2.0× 5.8k 5.2× 3.8k 3.6× 427 12.7k
Davide Bigoni Italy 36 2.5k 0.8× 327 0.2× 1.2k 0.6× 951 0.9× 1.1k 1.0× 162 4.7k
Jean-Marie Michel France 20 1.5k 0.5× 1.0k 0.5× 710 0.3× 491 0.4× 338 0.3× 72 2.7k
Zhenjun Yang China 43 3.9k 1.2× 879 0.4× 1.1k 0.5× 1.3k 1.1× 4.0k 3.7× 174 7.7k

Countries citing papers authored by Mohamed Farhat

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Farhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Farhat

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Farhat. A scholar is included among the top collaborators of Mohamed Farhat 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 Mohamed Farhat. Mohamed Farhat 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.
Farhat, Mohamed, et al.. (2025). Gyroid as a novel approach to suppress vortex shedding and mitigate induced vibration. Scientific Reports. 15(1). 25777–25777.
2.
Fuster, Daniel, et al.. (2024). Vapor compression and energy dissipation in a collapsing laser-induced bubble. Physics of Fluids. 36(3). 16 indexed citations
3.
Liu, Yunqing, et al.. (2023). Vortex shedding from a composite hydrofoil: Experimental evidence of a novel “partial lock-in”. Physics of Fluids. 35(12). 5 indexed citations
4.
Reymond, Philippe, et al.. (2023). Near-wall hemodynamic parameters quantification in in vitro intracranial aneurysms with 7 T PC-MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 36(2). 295–308. 2 indexed citations
5.
Farhat, Mohamed, et al.. (2023). Ex uno plures: how to construct high-speed movies of collapsing cavitation bubbles from a single image. Experiments in Fluids. 64(12). 3 indexed citations
6.
Cheng, Huaiyu, et al.. (2023). Numerical study on the scale effect of tip vortex cavitation induced by incoming velocities and scale ratios. Ocean Engineering. 279. 114544–114544. 10 indexed citations
7.
8.
Cheng, Huaiyu, Xinping Long, Bin Ji, Xiaoxing Peng, & Mohamed Farhat. (2020). Suppressing tip-leakage vortex cavitation by overhanging grooves. Experiments in Fluids. 61(7). 57 indexed citations
9.
Sato, Takehiko, Satoshi Uehara, Takashi Miyahara, et al.. (2019). Formation and Measurement of Plasma Fine Bubbles. JAPANESE JOURNAL OF MULTIPHASE FLOW. 33(4). 382–389. 2 indexed citations
10.
Bouillot, Pierre, Bénédicte M. A. Delattre, Olivier Brina, et al.. (2017). 3D phase contrast MRI: Partial volume correction for robust blood flow quantification in small intracranial vessels. Magnetic Resonance in Medicine. 79(1). 129–140. 28 indexed citations
11.
Bouillot, Pierre, Olivier Brina, Hasan Yilmaz, et al.. (2016). Virtual-versus-Real Implantation of Flow Diverters: Clinical Potential and Influence of Vascular Geometry. American Journal of Neuroradiology. 37(11). 2079–2086. 22 indexed citations
12.
Tinguely, Marc, Danail Obreschkow, Philippe Kobel, et al.. (2012). Energy partition at the collapse of spherical cavitation bubbles. Physical Review E. 86(4). 46315–46315. 56 indexed citations
13.
Tissot, Stéphanie, Matthieu Dreyer, David L. Hacker, et al.. (2011). Efficient and reproducible mammalian cell bioprocesses without probes and controllers?. New Biotechnology. 28(4). 382–390. 26 indexed citations
14.
Augsburger, Luca, Mohamed Farhat, Philippe Reymond, et al.. (2009). Effect of Flow Diverter Porosity on Intraaneurysmal Blood Flow. Clinical Neuroradiology. 19(3). 204–214. 127 indexed citations
15.
Obreschkow, Danail, et al.. (2006). Cavitation Bubble Collapse inside Liquid Spheres in Microgravity. Physical Review Letters. 6 indexed citations
16.
Farhat, Mohamed, et al.. (2006). INTERACTION OF A CAVITATION BUBBLE WITH A SPHERICAL FREE SURFACE. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
17.
Escaler, Xavier, Eduard Egusquiza, Mohamed Farhat, & François Avellan. (2004). Cavitation Erosion Prediction in Hydro Turbines from Onboard Vibrations. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 1–10. 8 indexed citations
18.
Billard, Jean-Yves, et al.. (2003). Cavitation et état de surface : une nouvelle analyse des mécanismes d'attache d'une cavité à une surface.. Journal of the American Veterinary Medical Association. 262(7). 958–969. 1 indexed citations
19.
Farhat, Mohamed, et al.. (1997). Cavitation Erosion Prediction on Francis Turbines. Journal of Applied Microbiology. 4(3). 56–62. 3 indexed citations
20.
Farhat, Mohamed, et al.. (1993). Cavitation erosion, impact intensity and pit size distribution of jet and vortex cavitation. Nature Microbiology. 176(5). 69–78. 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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