Peyman Pakdel

12 total papers · 837 total citations
11 papers, 687 citations indexed

About

Peyman Pakdel is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Mechanics of Materials. According to data from OpenAlex, Peyman Pakdel has authored 11 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 5 papers in Fluid Flow and Transfer Processes and 3 papers in Mechanics of Materials. Recurrent topics in Peyman Pakdel's work include Fluid Dynamics and Turbulent Flows (6 papers), Rheology and Fluid Dynamics Studies (5 papers) and Fluid Dynamics and Thin Films (4 papers). Peyman Pakdel is often cited by papers focused on Fluid Dynamics and Turbulent Flows (6 papers), Rheology and Fluid Dynamics Studies (5 papers) and Fluid Dynamics and Thin Films (4 papers). Peyman Pakdel collaborates with scholars based in United States. Peyman Pakdel's co-authors include Gareth H. McKinley, Alparslan Öztekin, Stephen H. Spiegelberg, Sangtae Kim, Sangtae Kim, Daniel J. Klingenberg, Sangtae Kim and Young Dae Kim and has published in prestigious journals such as Physical Review Letters, Industrial & Engineering Chemistry Research and AIChE Journal.

In The Last Decade

Peyman Pakdel

11 papers receiving 665 citations

Author Peers

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

Author						Papers	Cites
Peyman Pakdel	566	455	165	106	88	11	687
Christopher J. Pipe	313 0.6×	168 0.4×	295 1.8×	92 0.9×	61 0.7×	8	599
Nazish Hoda	184 0.3×	119 0.3×	126 0.8×	88 0.8×	129 1.5×	24	597
H. R. Warner	354 0.6×	108 0.2×	147 0.9×	71 0.7×	191 2.2×	24	606
P. Attané	175 0.3×	258 0.6×	106 0.6×	14 0.1×	74 0.8×	22	646
R.S. Jones	293 0.5×	121 0.3×	123 0.7×	38 0.4×	92 1.0×	24	595
J. C. van der Werff	305 0.5×	125 0.3×	142 0.9×	21 0.2×	377 4.3×	7	584
Lydiane Bécu	397 0.7×	132 0.3×	119 0.7×	38 0.4×	421 4.8×	20	792
Bin Lu	385 0.7×	213 0.5×	83 0.5×	17 0.2×	110 1.3×	17	621
Joe S. Hur	503 0.9×	88 0.2×	249 1.5×	138 1.3×	229 2.6×	6	664
Étienne Lac	249 0.4×	308 0.7×	264 1.6×	311 2.9×	55 0.6×	11	729

Countries citing papers authored by Peyman Pakdel

Since Specialization

Citations

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

Fields of papers citing papers by Peyman Pakdel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peyman Pakdel

This figure shows the co-authorship network connecting the top 25 collaborators of Peyman Pakdel. A scholar is included among the top collaborators of Peyman Pakdel 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 Peyman Pakdel. Peyman Pakdel 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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