William N. Dawes

51 total papers · 491 total citations
42 papers, 377 citations indexed

About

William N. Dawes is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, William N. Dawes has authored 42 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 23 papers in Aerospace Engineering and 11 papers in Mechanical Engineering. Recurrent topics in William N. Dawes's work include Turbomachinery Performance and Optimization (15 papers), Computational Fluid Dynamics and Aerodynamics (11 papers) and Fluid Dynamics and Turbulent Flows (11 papers). William N. Dawes is often cited by papers focused on Turbomachinery Performance and Optimization (15 papers), Computational Fluid Dynamics and Aerodynamics (11 papers) and Fluid Dynamics and Turbulent Flows (11 papers). William N. Dawes collaborates with scholars based in United Kingdom, South Sudan and Sweden. William N. Dawes's co-authors include P. John Clarkson, Daniel Jaeggi, Mark Savill, Geoffrey T. Parks, Timoleon Kipouros, Jerome P. Jarrett, B. de Foy, John D. Coull, Stewart Cant and Yi Lu and has published in prestigious journals such as AIAA Journal, SAE technical papers on CD-ROM/SAE technical paper series and International Journal for Numerical Methods in Fluids.

In The Last Decade

William N. Dawes

41 papers receiving 346 citations

Author Peers

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

Author Last Decade Papers Cites
William N. Dawes 196 179 83 57 48 42 377
Varvara Asouti 171 0.9× 79 0.4× 59 0.7× 95 1.7× 14 0.3× 31 351
A. Jahangirian 201 1.0× 180 1.0× 55 0.7× 108 1.9× 9 0.2× 38 400
Kazuo Yonekura 92 0.5× 66 0.4× 100 1.2× 96 1.7× 12 0.3× 35 390
Sergey Peigin 256 1.3× 213 1.2× 26 0.3× 91 1.6× 4 0.1× 47 389
Christophe Tribes 69 0.4× 81 0.5× 108 1.3× 147 2.6× 4 0.1× 40 390
Damir Vučina 136 0.7× 235 1.3× 62 0.7× 24 0.4× 21 0.4× 41 431
Kristian Amadori 38 0.2× 161 0.9× 82 1.0× 44 0.8× 9 0.2× 45 427
Valentino Pediroda 99 0.5× 64 0.4× 71 0.9× 141 2.5× 2 0.0× 33 358
Rodrigo A. González 39 0.2× 109 0.6× 19 0.2× 31 0.5× 4 0.1× 50 403
Zhenyu Jiang 57 0.3× 80 0.4× 56 0.7× 35 0.6× 4 0.1× 27 343

Countries citing papers authored by William N. Dawes

Since Specialization
Citations

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

Fields of papers citing papers by William N. Dawes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William N. Dawes. 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 William N. Dawes. The network helps show where William N. Dawes may publish in the future.

Co-authorship network of co-authors of William N. Dawes

This figure shows the co-authorship network connecting the top 25 collaborators of William N. Dawes. A scholar is included among the top collaborators of William N. Dawes 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 William N. Dawes. William N. Dawes 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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