Farzad Mashayek

5.2k total citations
175 papers, 4.3k citations indexed

About

Farzad Mashayek is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Ocean Engineering. According to data from OpenAlex, Farzad Mashayek has authored 175 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Computational Mechanics, 76 papers in Electrical and Electronic Engineering and 33 papers in Ocean Engineering. Recurrent topics in Farzad Mashayek's work include Fluid Dynamics and Turbulent Flows (46 papers), Advancements in Battery Materials (40 papers) and Particle Dynamics in Fluid Flows (32 papers). Farzad Mashayek is often cited by papers focused on Fluid Dynamics and Turbulent Flows (46 papers), Advancements in Battery Materials (40 papers) and Particle Dynamics in Fluid Flows (32 papers). Farzad Mashayek collaborates with scholars based in United States, China and Saudi Arabia. Farzad Mashayek's co-authors include Vitaliy Yurkiv, Reza Shahbazian‐Yassar, Nasser Ashgriz, Tara Foroozan, Ajaykrishna Ramasubramanian, Babak Shotorban, Marco Ragone, Soroosh Sharifi‐Asl, Anmin Nie and Ramin Rojaee and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Nano Letters.

In The Last Decade

Farzad Mashayek

171 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farzad Mashayek United States 35 2.4k 1.5k 988 816 521 175 4.3k
Shuichiro Hirai Japan 33 2.4k 1.0× 313 0.2× 313 0.3× 337 0.4× 880 1.7× 219 3.6k
Yanbao Ma United States 21 719 0.3× 871 0.6× 673 0.7× 85 0.1× 243 0.5× 73 2.1k
Ying Sun United States 28 894 0.4× 878 0.6× 250 0.3× 81 0.1× 555 1.1× 89 2.4k
Zhijie Xu United States 24 1.1k 0.5× 271 0.2× 527 0.5× 67 0.1× 666 1.3× 129 2.5k
Guangjun Gao China 27 2.0k 0.8× 826 0.6× 225 0.2× 68 0.1× 1.1k 2.1× 149 4.6k
Alessandro Gomez United States 40 2.4k 1.0× 2.7k 1.8× 222 0.2× 185 0.2× 499 1.0× 122 5.1k
Haiming Yu China 36 1.6k 0.7× 600 0.4× 53 0.1× 816 1.0× 619 1.2× 174 4.4k
Gregory J. Wagner United States 39 894 0.4× 935 0.6× 1.3k 1.3× 124 0.2× 2.0k 3.8× 134 5.6k
Chris R. Kleijn Netherlands 34 1.1k 0.5× 1.5k 1.0× 157 0.2× 217 0.3× 604 1.2× 134 4.0k
Naoki Shikazono Japan 34 1.3k 0.5× 908 0.6× 107 0.1× 173 0.2× 2.7k 5.1× 221 4.4k

Countries citing papers authored by Farzad Mashayek

Since Specialization
Citations

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

Fields of papers citing papers by Farzad Mashayek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farzad Mashayek

This figure shows the co-authorship network connecting the top 25 collaborators of Farzad Mashayek. A scholar is included among the top collaborators of Farzad Mashayek 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 Farzad Mashayek. Farzad Mashayek 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.
Yurkiv, Vitaliy, et al.. (2025). On the energy analysis of two-phase flows simulated with the diffuse interface method. Physics of Fluids. 37(7).
2.
Yurkiv, Vitaliy, et al.. (2024). Impact of drops of epoxy resin and hardener, silicone and turpentine oils onto balsa wood and polypropylene substrates. Physics of Fluids. 36(5). 2 indexed citations
3.
Ragone, Marco, Abhijit H. Phakatkar, Lance Long, et al.. (2024). Predicting column heights and elemental composition in experimental transmission electron microscopy images of high-entropy oxides using deep learning. npj Computational Materials. 10(1). 4 indexed citations
4.
Yurkiv, Vitaliy, et al.. (2022). Revealing the Structure and Properties of Polycrystalline Components of the Solid Electrolyte Interface. ECS Meeting Abstracts. MA2022-01(2). 251–251. 3 indexed citations
5.
Ragone, Marco, et al.. (2022). Predicting Thermal Failures Using an Advanced Data-Driven Modeling Framework in a Cylindrical Li-Ion Battery Pack. ECS Meeting Abstracts. MA2022-02(3). 230–230. 3 indexed citations
6.
Yurkiv, Vitaliy, et al.. (2021). Metamorphosis of trilobite-like drops on a surface: Electrically driven fingering. Physics of Fluids. 33(12). 5 indexed citations
7.
Roy, Tamal, et al.. (2021). Effect of H2O2 Antiseptic on Dispersal of Cavitation-Induced Microdroplets. Journal of Dental Research. 100(11). 1258–1264. 1 indexed citations
8.
Bagheri, Morteza, Jonathan Higham, Lyndon F. Cooper, et al.. (2021). An experimental approach to analyze aerosol and splatter formations due to a dental procedure. Experiments in Fluids. 62(10). 202–202. 12 indexed citations
9.
Ragone, Marco, Vitaliy Yurkiv, Ajaykrishna Ramasubramanian, et al.. (2020). Data Driven Approach for Predicting Thermal Runaway in Li Ion Battery. ECS Meeting Abstracts. MA2020-02(4). 818–818.
10.
Yurkiv, Vitaliy, Tara Foroozan, Ajaykrishna Ramasubramanian, et al.. (2020). Understanding Zn Electrodeposits Morphology in Secondary Batteries Using Phase-Field Model. Journal of The Electrochemical Society. 167(6). 60503–60503. 36 indexed citations
11.
Ragone, Marco, Vitaliy Yurkiv, Ajaykrishna Ramasubramanian, Reza Shahbazian‐Yassar, & Farzad Mashayek. (2020). Predicting Thermal Runaway in Li-Ion Battery Employing Machine Learning Framework. ECS Meeting Abstracts. MA2020-01(2). 429–429. 1 indexed citations
12.
Rojaee, Ramin, Santosh Mogurampelly, Bill K. Wheatle, et al.. (2020). Highly‐Cyclable Room‐Temperature Phosphorene Polymer Electrolyte Composites for Li Metal Batteries. Advanced Functional Materials. 30(32). 100 indexed citations
13.
Kashir, Babak, et al.. (2020). Electrically driven toroidal Moffatt vortices: experimental observations. Journal of Fluid Mechanics. 900. 4 indexed citations
14.
Yurkiv, Vitaliy, et al.. (2020). Combined Multi-Physics and Machine Learning Approach to Forecast SEI Decomposition in LIBs. ECS Meeting Abstracts. MA2020-02(4). 777–777. 1 indexed citations
15.
Yao, Wentao, Yifei Yuan, Guoqiang Tan, et al.. (2019). Tuning Li2O2 Formation Routes by Facet Engineering of MnO2 Cathode Catalysts. Journal of the American Chemical Society. 141(32). 12832–12838. 130 indexed citations
16.
Kashir, Babak, Marco Ragone, Vitaliy Yurkiv, & Farzad Mashayek. (2019). Data-driven prediction of vortical structures in turbulent flows employing deep learning techniques. Bulletin of the American Physical Society. 1 indexed citations
17.
Ramasubramanian, Ajaykrishna, Vitaliy Yurkiv, Tara Foroozan, et al.. (2019). Lithium Diffusion Mechanism through Solid–Electrolyte Interphase in Rechargeable Lithium Batteries. The Journal of Physical Chemistry C. 123(16). 10237–10245. 269 indexed citations
18.
Ramasubramanian, Ajaykrishna, M. A. Maksud, Vitaliy Yurkiv, et al.. (2019). Plastic recovery and self-healing in longitudinally twinned SiGe nanowires. Nanoscale. 11(18). 8959–8966. 4 indexed citations
19.
Yurkiv, Vitaliy, Alexander L. Yarin, & Farzad Mashayek. (2018). Modeling of Droplet Impact onto Polarized and Nonpolarized Dielectric Surfaces. Langmuir. 34(34). 10169–10180. 24 indexed citations
20.
Foroozan, Tara, Fernando A. Soto, Vitaliy Yurkiv, et al.. (2018). Synergistic Effect of Graphene Oxide for Impeding the Dendritic Plating of Li. Advanced Functional Materials. 28(15). 105 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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