David Burton

4.3k total citations · 1 hit paper
122 papers, 2.9k citations indexed

About

David Burton is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, David Burton has authored 122 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Aerospace Engineering, 59 papers in Computational Mechanics and 55 papers in Environmental Engineering. Recurrent topics in David Burton's work include Aerodynamics and Fluid Dynamics Research (70 papers), Wind and Air Flow Studies (54 papers) and Fluid Dynamics and Vibration Analysis (49 papers). David Burton is often cited by papers focused on Aerodynamics and Fluid Dynamics Research (70 papers), Wind and Air Flow Studies (54 papers) and Fluid Dynamics and Vibration Analysis (49 papers). David Burton collaborates with scholars based in Australia, United States and Germany. David Burton's co-authors include Mark C. Thompson, John Sheridan, Henry J. Ricardo, Astrid H. Herbst, James Bell, Timothy Crouch, Nicholas A. T. Brown, Shibo Wang, David Wheeler and James A. Venning and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

David Burton

114 papers receiving 2.7k citations

Hit Papers

Elementary Number Theory 1979 2026 1994 2010 1979 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Elementary Number Theory
    1979 458 citations David Burton et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Burton Australia 28 1.7k 1.3k 1.3k 221 203 122 2.9k
Joan Lasenby United Kingdom 25 204 0.1× 61 0.0× 293 0.2× 33 0.1× 65 0.3× 130 2.4k
Marc Rioux Canada 27 548 0.3× 201 0.2× 748 0.6× 24 0.1× 7 0.0× 111 2.8k
Remco C. Veltkamp Netherlands 30 353 0.2× 122 0.1× 1.1k 0.8× 39 0.2× 5 0.0× 201 5.1k
Christoph Bregler United States 28 572 0.3× 45 0.0× 522 0.4× 52 0.2× 13 0.1× 44 5.6k
Angjoo Kanazawa United States 27 447 0.3× 134 0.1× 2.5k 2.0× 36 0.2× 7 0.0× 51 6.4k
Marcus Magnor Germany 37 345 0.2× 102 0.1× 1.3k 1.0× 59 0.3× 11 0.1× 289 5.6k
Rangachar Kasturi United States 31 396 0.2× 165 0.1× 124 0.1× 111 0.5× 2 0.0× 149 5.0k
Jeff Trinkle United States 27 463 0.3× 61 0.0× 250 0.2× 226 1.0× 6 0.0× 99 4.0k
Petros Daras Greece 33 490 0.3× 62 0.0× 458 0.4× 21 0.1× 7 0.0× 249 3.7k
Nikolaos Papanikolopoulos United States 26 674 0.4× 241 0.2× 109 0.1× 269 1.2× 2 0.0× 201 3.1k

Countries citing papers authored by David Burton

Since Specialization
Citations

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

Fields of papers citing papers by David Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Burton

This figure shows the co-authorship network connecting the top 25 collaborators of David Burton. A scholar is included among the top collaborators of David Burton 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 David Burton. David Burton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Jie, et al.. (2026). A novel passive flow control method employing vortex generators to suppress wake flow characteristics of a high-speed train: Mechanism and application. Journal of Central South University. 33(1). 484–505. 1 indexed citations
2.
Burton, David, et al.. (2024). Flow over two inline rough cylinders in the postcritical regime. Physics of Fluids. 36(9). 1 indexed citations
3.
Holmes, J.D., et al.. (2023). The influence of surface roughness on postcritical flow over circular cylinders revisited. Journal of Fluid Mechanics. 975. 3 indexed citations
4.
5.
Lees, Ty, et al.. (2021). Electrophysiological Brain-Cardiac Coupling in Train Drivers during Monotonous Driving. International Journal of Environmental Research and Public Health. 18(7). 3741–3741. 11 indexed citations
6.
Hocking, David P., Felix G. Marx, Shibo Wang, et al.. (2021). Convergent evolution of forelimb-propelled swimming in seals. Current Biology. 31(11). 2404–2409.e2. 7 indexed citations
7.
Burton, David. (2016). A Quartile Analysis of Selected Variables From the 2008 NAEP Visual Arts Report Card. Studies in Art Education. 57(2). 165–178. 4 indexed citations
8.
Bell, James, David Burton, Mark C. Thompson, Astrid H. Herbst, & John Sheridan. (2016). Dynamics of trailing vortices in the wake of a generic high-speed train. Journal of Fluids and Structures. 65. 238–256. 77 indexed citations
9.
Burton, David, et al.. (2015). Taking Another Look: Secondary Analysis of the NAEP Report Card in the Visual Arts. Studies in Art Education. 41(3). 202–207.
10.
Burton, David, et al.. (2015). Siting wind turbines near cliffs—the effect of wind direction. Wind Energy. 19(8). 1469–1484. 11 indexed citations
11.
Crouch, Timothy, David Burton, Nicholas A. T. Brown, Mark C. Thompson, & John Sheridan. (2014). Flow topology in the wake of a cyclist and its effect on aerodynamic drag. Journal of Fluid Mechanics. 748. 5–35. 73 indexed citations
12.
Griffith, Martin D., Timothy Crouch, Mark C. Thompson, et al.. (2014). Computational Fluid Dynamics Study of the Effect of Leg Position on Cyclist Aerodynamic Drag. Journal of Fluids Engineering. 136(10). 48 indexed citations
13.
14.
Xu, Zheng, et al.. (2010). Peak and averaged bicoherence for different EEG patterns during general anaesthesia. BioMedical Engineering OnLine. 9(1). 76–76. 17 indexed citations
15.
Burton, David, et al.. (2005). Middle Latency Auditory Evoked Potential Anaesthesia Correlates of Consciousness: Practicality & Constraints. PubMed. 2005. 3676–3682. 1 indexed citations
16.
Burton, David, Amanda Kate Delaney, Stuart Newstead, David Logan, & Brian Fildes. (2004). Evaluation of anti-lock braking systems effectiveness. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō. 8 indexed citations
17.
Fildes, Brian, et al.. (2003). ANCIS: the first three years. 7 indexed citations
18.
Burton, David. (2001). A Quartile Analysis of the 1997 NAEP Visual Arts Report Card. Studies in Art Education. 43(1). 35–44. 2 indexed citations
19.
Burton, David. (2001). How Do We Teach? Results of a National Survey of Instruction in Secondary Art Education. Studies in Art Education. 42(2). 131–131. 12 indexed citations
20.
Burton, David, et al.. (2000). Taking Another Look: Secondary Analysis of the "NAEP Report Card in the Visual Arts." Appendix 2.. Studies in Art Education. 41(3). 2 indexed citations

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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