Arman Pazouki

36 total papers · 564 total citations
19 papers, 217 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 217 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, Paramsothy Jayakumar, Daniel Melanz, Alessandro Tasora, Toby Heyn, William J. Likos and Daniel I. Goldman 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 211 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Arman Pazouki 122 62 52 33 31 19 217
Toby Heyn 136 1.1× 167 2.7× 82 1.6× 62 1.9× 13 0.4× 14 330
Daniel Melanz 74 0.6× 96 1.5× 117 2.3× 25 0.8× 15 0.5× 16 236
A. A. Renshaw 145 1.2× 230 3.7× 84 1.6× 53 1.6× 14 0.5× 32 330
R. E. Newton 119 1.0× 79 1.3× 97 1.9× 84 2.5× 42 1.4× 13 268
Lin Zhang 61 0.5× 21 0.3× 31 0.6× 20 0.6× 66 2.1× 21 284
Peng Zheng 25 0.2× 52 0.8× 72 1.4× 17 0.5× 18 0.6× 35 321
Milad Rakhsha 180 1.5× 16 0.3× 30 0.6× 35 1.1× 144 4.6× 14 331
Feng Zhou 57 0.5× 19 0.3× 15 0.3× 22 0.7× 63 2.0× 15 325
Sergio Bellizzi 75 0.6× 115 1.9× 191 3.7× 41 1.2× 35 1.1× 20 308
Nima Nejadsadeghi 40 0.3× 50 0.8× 84 1.6× 181 5.5× 68 2.2× 14 313

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

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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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