Arman Pazouki

567 total citations
19 papers, 219 citations indexed

About

Arman Pazouki is a scholar working on Computational Mechanics, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Arman Pazouki has authored 19 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 5 papers in Control and Systems Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Arman Pazouki's work include Fluid Dynamics Simulations and Interactions (12 papers), Lattice Boltzmann Simulation Studies (7 papers) and Granular flow and fluidized beds (6 papers). Arman Pazouki is often cited by papers focused on Fluid Dynamics Simulations and Interactions (12 papers), Lattice Boltzmann Simulation Studies (7 papers) and Granular flow and fluidized beds (6 papers). Arman Pazouki collaborates with scholars based in United States, Italy and Germany. Arman Pazouki's co-authors include Dan Negruţ, Radu Serban, Hammad Mazhar, Milad Rakhsha, Daniel Melanz, Toby Heyn, Alessandro Tasora, Paramsothy Jayakumar, William J. Likos and Baofang Song and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Computers & Mathematics with Applications.

In The Last Decade

Arman Pazouki

19 papers receiving 213 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arman Pazouki United States 8 124 62 52 33 32 19 219
Alejandro Cesar Limache Argentina 8 332 2.7× 33 0.5× 61 1.2× 89 2.7× 14 0.4× 21 395
Carlos Fuentes Chile 13 28 0.2× 106 1.7× 32 0.6× 88 2.7× 18 0.6× 36 552
Peng Zheng China 11 26 0.2× 52 0.8× 73 1.4× 17 0.5× 18 0.6× 35 331
Robert D. Quinn United States 12 98 0.8× 115 1.9× 66 1.3× 18 0.5× 47 1.5× 39 371
Patrice Coorevits France 12 233 1.9× 13 0.2× 58 1.1× 223 6.8× 25 0.8× 32 359
Ziyin Qu United States 7 253 2.0× 31 0.5× 20 0.4× 53 1.6× 28 0.9× 9 338
Crystal L. Pasiliao United States 10 183 1.5× 35 0.6× 40 0.8× 102 3.1× 43 1.3× 46 335
Chuyuan Fu United States 5 335 2.7× 35 0.6× 32 0.6× 85 2.6× 24 0.8× 7 406
Pengyuan Zhao China 9 33 0.3× 69 1.1× 128 2.5× 29 0.9× 23 0.7× 25 311
Jens Cornelis Germany 7 437 3.5× 22 0.4× 18 0.3× 21 0.6× 13 0.4× 7 485

Countries citing papers authored by Arman Pazouki

Since Specialization
Citations

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

Fields of papers citing papers by Arman Pazouki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arman Pazouki

This figure shows the co-authorship network connecting the top 25 collaborators of Arman Pazouki. A scholar is included among the top collaborators of Arman Pazouki 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 Arman Pazouki. Arman Pazouki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Pazouki, Arman, et al.. (2022). Understanding Factors that Influence Research Computing and Data Careers. Practice and Experience in Advanced Research Computing. 1–9. 6 indexed citations
2.
Tasora, Alessandro, Radu Serban, Hammad Mazhar, et al.. (2020). Chrono: Multi-physics simulation engine. Astrophysics Source Code Library. 1 indexed citations
3.
Rieser, Jennifer M., Perrin Schiebel, Arman Pazouki, et al.. (2019). Dynamics of scattering in undulatory active collisions. Physical review. E. 99(2). 22606–22606. 14 indexed citations
4.
Song, Baofang, Arman Pazouki, & Thorsten Pöschel. (2018). Instability of smoothed particle hydrodynamics applied to Poiseuille flows. Computers & Mathematics with Applications. 76(6). 1447–1457. 4 indexed citations
5.
Mazhar, Hammad, Arman Pazouki, Milad Rakhsha, Paramsothy Jayakumar, & Dan Negruţ. (2018). A differential variational approach for handling fluid–solid interaction problems via smoothed particle hydrodynamics. Journal of Computational Physics. 371. 92–110. 8 indexed citations
6.
Rakhsha, Milad, Arman Pazouki, Radu Serban, & Dan Negruţ. (2018). Using a half-implicit integration scheme for the SPH-based solution of fluid–solid interaction problems. Computer Methods in Applied Mechanics and Engineering. 345. 100–122. 25 indexed citations
7.
Pazouki, Arman, et al.. (2017). Compliant contact versus rigid contact: A comparison in the context of granular dynamics. Physical review. E. 96(4). 42905–42905. 40 indexed citations
8.
Shokoueinejad, Mehdi, et al.. (2017). A Modeling Study on Inspired CO2 Rebreathing Device for Sleep Apnea Treatment by Means of CFD Analysis and Experiment. Journal of Medical and Biological Engineering. 37(2). 288–297. 3 indexed citations
9.
Rakhsha, Milad, Arman Pazouki, Radu Serban, & Dan Negruţ. (2017). A Partitioned Lagrangian-Lagrangian Approach for Fluid-Solid Interaction Problems. 2 indexed citations
10.
Pazouki, Arman & Dan Negruţ. (2015). Numerical investigation of microfluidic sorting of microtissues. Computers & Mathematics with Applications. 72(2). 251–263. 3 indexed citations
11.
Pazouki, Arman, Baofang Song, & Dan Negruţ. (2015). Boundary condition enforcing methods for smoothed particle hydrodynamics. 2 indexed citations
12.
Pazouki, Arman, et al.. (2014). A LAGRANGIAN-LAGRANGIAN FRAMEWORK FOR THE SIMULATION OF FLUID-SOLID INTERACTION PROBLEMS WITH RIGID AND FLEXIBLE COMPONENTS By. 1 indexed citations
13.
Pazouki, Arman & Dan Negruţ. (2014). A numerical study of the effect of particle properties on the radial distribution of suspensions in pipe flow. Computers & Fluids. 108. 1–12. 17 indexed citations
14.
Pazouki, Arman, Radu Serban, & Dan Negruţ. (2014). A High Performance Computing Approach to the Simulation of Fluid-Solid interaction Problems with Rigid and Flexible Components. Archive of Mechanical Engineering. 61(2). 227–251. 13 indexed citations
15.
Heyn, Toby, Hammad Mazhar, Arman Pazouki, et al.. (2013). Chrono: A Parallel Physics Library for Rigid-Body, Flexible-Body, and Fluid Dynamics. 3 indexed citations
16.
Mazhar, Hammad, Toby Heyn, Arman Pazouki, et al.. (2013). CHRONO: a parallel multi-physics library for rigid-body, flexible-body, and fluid dynamics. Mechanical sciences. 4(1). 49–64. 55 indexed citations
17.
Pazouki, Arman, Hammad Mazhar, & Dan Negruţ. (2012). Parallel collision detection of ellipsoids with applications in large scale multibody dynamics. Mathematics and Computers in Simulation. 82(5). 879–894. 14 indexed citations
18.
Pazouki, Arman & Dan Negruţ. (2012). Direct Simulation of Lateral Migration of Buoyant Particles in Channel Flow Using GPU Computing. 831–838. 5 indexed citations
19.
Pazouki, Arman, Hammad Mazhar, & Dan Negruţ. (2010). Parallel Ellipsoid Collision Detection With Applications in Contact Dynamics. 795–806. 3 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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