David Burton

119 papers receiving 2.8k citations

David Burton's Hit Papers

Elementary Number Theory 1979 · 506 citations
5060+15+31Years since publication100200300400500

Peers

David Burton
Comparison fields: 5 of 156
  • Environmental Engineering 1.3k
  • Theoretical Computer Science 101
  • Aerospace Engineering 1.8k
  • Computational Mechanics 1.3k
  • Algebra and Number Theory 127
Replace Michael Rubinstein with:
Michael Rubinstein United States
Ken Shoemake United States
David Elliott Australia
Jianmin Zheng Singapore
Jeff Trinkle United States
James F. Bartram United States
John C. Hart United States
Marc Rioux Canada
Marcus Magnor Germany
Carlos Gutiérrez Mexico
David Burton relative to Michael Rubinstein United States Michael Rubinstein's profile →
Citations per field
00.5×10×20×25.6×
Michael Rubinstein · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David Burton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Burton Line = papers co-authored together David Burton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Elementary Number Theory
Hit paper breakdown →
1979506
2 2017143
3 2014135
4 1986120
5 2014119
6 201790
7 201783
8 201883
9 201679
10 201475
11 201270
12 201566
13 201765
14 201765
15 201560
16 201558
17 201657
18 201753
19 201652
20 201450

About David Burton

David Burton is a scholar working on Aerospace Engineering, Computational Mechanics, Environmental Engineering, Visual Arts and Performing Arts and Automotive Engineering, having authored 126 papers that have together received 3.1k indexed citations. Recurring topics across this work include Aerodynamics and Fluid Dynamics Research (71 papers), Wind and Air Flow Studies (55 papers), Fluid Dynamics and Vibration Analysis (49 papers), Fluid Dynamics and Turbulent Flows (17 papers), Art Education and Development (13 papers), Sleep and Work-Related Fatigue (9 papers), Diverse Music Education Insights (7 papers) and Sports Performance and Training (7 papers). The work is most often cited by research in Environmental Engineering (1.3k citations), Theoretical Computer Science (101 citations), Aerospace Engineering (1.8k citations), Computational Mechanics (1.3k citations) and Algebra and Number Theory (127 citations). David Burton has collaborated with scholars based in Australia, United States and Germany. Frequent 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. Their work appears in journals such as Journal of Wind Engineering and Industrial Aerodynamics, Studies in Art Education, Art Education, Journal of Fluids and Structures and Journal of Fluid Mechanics.

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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