William N. Dawes
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Mechanical Engineering
- Computational Theory and Mathematics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- P. John ClarksonMark SavillDaniel JaeggiGeoffrey T. ParksTimoleon KipourosJerome P. JarrettB. de FoyJohn D. Coull
- Topics
- Turbomachinery Performance and Optimization (15 papers)Fluid Dynamics and Turbulent Flows (11 papers)Computational Fluid Dynamics and Aerodynamics (11 papers)
- Journals
- AIAA JournalSAE technical papers on CD-ROM/SAE technical paper seriesInternational Journal for Numerical Methods in Fluids
- Partner nations
- United KingdomSouth SudanSweden
In The Last Decade
William N. Dawes
41 papers receiving 346 citations
Peers
Comparison fields: 5 of 45
- Computational Mechanics 196
- Aerospace Engineering 179
- Mechanical Engineering 83
- Computational Theory and Mathematics 57
- Computer Graphics and Computer-Aided Design 48
Countries citing papers authored by William N. Dawes
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 12 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | Using Meta-Data to Enhance Process Simulation and Identify Improvements | 5 |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 12 |
About William N. Dawes
William N. Dawes is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Aerospace Engineering, having authored 42 papers that have together received 377 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (15 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Computational Fluid Dynamics and Aerodynamics (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (48 citations), Computational Mechanics (196 citations) and Aerospace Engineering (179 citations). William N. Dawes has collaborated with scholars based in United Kingdom, South Sudan and Sweden. Frequent co-authors include P. John Clarkson, Mark Savill, Daniel Jaeggi, Geoffrey T. Parks, Timoleon Kipouros, Jerome P. Jarrett, B. de Foy, John D. Coull, Stewart Cant and Yi Lu. Their work appears in journals such as AIAA Journal, SAE technical papers on CD-ROM/SAE technical paper series and International Journal for Numerical Methods in Fluids.
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.