Charles Pezeshki

59 total papers · 804 total citations
37 papers, 576 citations indexed

About

Charles Pezeshki is a scholar working on Media Technology, Biomedical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Charles Pezeshki has authored 37 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 9 papers in Biomedical Engineering and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Charles Pezeshki's work include Engineering Education and Curriculum Development (10 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Quantum chaos and dynamical systems (6 papers). Charles Pezeshki is often cited by papers focused on Engineering Education and Curriculum Development (10 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Quantum chaos and dynamical systems (6 papers). Charles Pezeshki collaborates with scholars based in United States, Jordan and Australia. Charles Pezeshki's co-authors include Earl H. Dowell, Francis C. Moon, Steve Elgar, Ram Krishna, Mohammad Alkhedher, Jeanne L. McHale, Fritz J. Knorr, Marwan Khraisheh, Abdel E. Bayoumi and M. Grant Norton and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Applied Mechanics and Journal of Sound and Vibration.

In The Last Decade

Charles Pezeshki

33 papers receiving 529 citations

Author Peers

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

Author Last Decade Papers Cites
Charles Pezeshki 275 168 121 83 65 37 576
Yue Yu 256 0.9× 192 1.1× 55 0.5× 49 0.6× 44 0.7× 48 535
Zhiwen Zhu 219 0.8× 147 0.9× 63 0.5× 41 0.5× 47 0.7× 61 629
Jianhua Xie 291 1.1× 167 1.0× 178 1.5× 70 0.8× 30 0.5× 47 502
B.R. Nana Nbendjo 333 1.2× 285 1.7× 163 1.3× 80 1.0× 48 0.7× 55 662
Hao Chen 232 0.8× 162 1.0× 54 0.4× 62 0.7× 53 0.8× 37 627
Haibin Zhang 180 0.7× 93 0.6× 165 1.4× 113 1.4× 67 1.0× 46 650
X. Wang 169 0.6× 104 0.6× 81 0.7× 91 1.1× 61 0.9× 19 604
Jing Li 131 0.5× 47 0.3× 88 0.7× 61 0.7× 52 0.8× 78 547
И.В. Папкова 129 0.5× 67 0.4× 119 1.0× 45 0.5× 47 0.7× 63 527
Frank Schilder 182 0.7× 110 0.7× 187 1.5× 89 1.1× 71 1.1× 23 671

Countries citing papers authored by Charles Pezeshki

Since Specialization
Citations

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

Fields of papers citing papers by Charles Pezeshki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Pezeshki

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Pezeshki. A scholar is included among the top collaborators of Charles Pezeshki 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 Charles Pezeshki. Charles Pezeshki 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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2026