Mark Dunn

633 citations
43 papers · 536 · h-index 15

Impact in

Papers in

Mark Dunn

40 papers receiving 474 citations

Peers

Mark Dunn
Comparison fields: 5 of 29
  • Aerospace Engineering 482
  • Biomedical Engineering 405
  • Computational Mechanics 174
  • Automotive Engineering 90
  • Environmental Engineering 105
Replace Richard Gaeta with:
Richard Gaeta United States
Douglas M. Nark United States
Ana Tinetti United States
Carl H. Gerhold United States
Estelle Piot France
Jan Delfs Germany
P. J. W. Block United States
Paul T. Soderman United States
H. Heller United States
Michael Carley United Kingdom
Mark Dunn relative to Richard Gaeta United States Richard Gaeta's profile →
Citations per field
00.5×1.5×2.1×
Richard Gaeta · 1×
Citations per year

Countries citing papers authored by Mark Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Mark Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mark Dunn, 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 Mark Dunn Line = papers co-authored together Mark Dunn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200464
2 198754
3 200543
4 199934
5 200624
6 200922
7 200621
8 199618
9 199817
10 199916
11 200815
12 200615
13
Computational methods in the prediction of advanced subsonic and supersonic propeller induced noise: ASSPIN users' manual
199215
14 202114
15 199214
16 200914
17 199813
18 200413
19 200912
20 200711

About Mark Dunn

Mark Dunn is a scholar working on Aerospace Engineering, Biomedical Engineering, Computational Mechanics, Automotive Engineering and Atomic and Molecular Physics, and Optics, having authored 43 papers that have together received 536 indexed citations. Recurring topics across this work include Aerodynamics and Acoustics in Jet Flows (35 papers), Acoustic Wave Phenomena Research (31 papers), Vehicle Noise and Vibration Control (10 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Aerodynamics and Fluid Dynamics Research (5 papers), Electromagnetic Scattering and Analysis (4 papers), Wind and Air Flow Studies (4 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). The work is most often cited by research in Aerospace Engineering (482 citations), Biomedical Engineering (405 citations), Computational Mechanics (174 citations), Automotive Engineering (90 citations) and Environmental Engineering (105 citations). Mark Dunn has collaborated with scholars based in United States, Ghana and Sweden. Frequent co-authors include Ana Tinetti, F. Farassat, J. Tweed, Sharon L. Padula, Carl H. Gerhold, Kenneth S. Brentner, Douglas M. Nark, Roger Bergua, Jonathan Keller and Yi Guo. Their work appears in journals such as Journal of Sound and Vibration, AIAA Journal, Applied Mathematics Letters, The Journal of the Acoustical Society of America and Forschung im Ingenieurwesen.

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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