David A. Bies

52 papers receiving 1.3k citations

Peers

David A. Bies
Comparison fields: 5 of 86
  • Speech and Hearing 221
  • Biomedical Engineering 962
  • Automotive Engineering 264
  • Aerospace Engineering 452
  • Civil and Structural Engineering 323
Replace J. Y. Chung with:
J. Y. Chung United States
Jean F. Allard France
Jeong–Guon Ih South Korea
E.N. Bazley United Kingdom
Robert J. Bernhard United States
Mary Delany United Kingdom
D. A. Blaser United States
Alain Berry Canada
Dah-You Maa China
Franck Sgard Canada
David A. Bies relative to J. Y. Chung United States J. Y. Chung's profile →
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Citations per year

Countries citing papers authored by David A. Bies

Since Specialization
Citations

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

Fields of papers citing papers by David A. Bies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside David A. Bies, 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 A. Bies Line = papers co-authored together David A. Bies links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980197
2 1990146
3 1980144
4 1990117
5 201797
6 200376
7 198847
8 199039
9 197938
10
A review of flight and wind tunnel measurements of boundary layer pressure fluctuations and induced structural response
196638
11
Engineering Noise Control: Theory and Practice, Third Edition
200331
12 195727
13 197826
14 197823
15 201022
16 195520
17 199120
18 197617
19 202316
20 196614

About David A. Bies

David A. Bies is a scholar working on Biomedical Engineering, Aerospace Engineering, Computational Mechanics, Speech and Hearing and Electrical and Electronic Engineering, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (33 papers), Aerodynamics and Acoustics in Jet Flows (19 papers), Noise Effects and Management (8 papers), Wind and Air Flow Studies (7 papers), Vibration and Dynamic Analysis (7 papers), Hearing Loss and Rehabilitation (7 papers), Fluid Dynamics and Vibration Analysis (6 papers) and Vehicle Noise and Vibration Control (4 papers). The work is most often cited by research in Speech and Hearing (221 citations), Biomedical Engineering (962 citations), Automotive Engineering (264 citations), Aerospace Engineering (452 citations) and Civil and Structural Engineering (323 citations). David A. Bies has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Colin H. Hansen, Jie Pan, C. R. Fuller, Greg E. Bridges, Tim Kelsall, Kristy L. Hansen, Carl Q. Howard, Jonathan M. Davies, M. K. Bull and Peter Franken. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration, The Journal of Chemical Physics, Applied Acoustics and Noise Control Engineering Journal.

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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