Dean Long

540 citations
33 papers · 449 · h-index 10

Impact in

    • Fluid Dynamics and Turbulent Flows
    • Combustion and flame dynamics
    • Computational Fluid Dynamics and Aerodynamics
    • Fluid Dynamics and Vibration Analysis
    • Aerodynamics and Acoustics in Jet Flows

Papers in

Dean Long

26 papers receiving 411 citations

Peers

Dean Long
Comparison fields: 5 of 31
  • Computational Mechanics 370
  • Aerospace Engineering 408
  • Environmental Engineering 107
  • Statistical and Nonlinear Physics 34
  • Biomedical Engineering 111
Replace Renzo Arina with:
Renzo Arina Italy
Matteo Mancinelli France
Keith Paschal United States
Ivan Mary France
Valter Bellucci Switzerland
Lionel Larchevêque France
Alexis Giauque France
Andre Hall United States
J. C. Yu United States
M. Costes France
Dean Long relative to Renzo Arina Italy Renzo Arina's profile →
Citations per field
00.5×2.7×
Renzo Arina · 1×
Citations per year

Countries citing papers authored by Dean Long

Since Specialization
Citations

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

Fields of papers citing papers by Dean Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Dean Long, 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 Dean Long Line = papers co-authored together Dean Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997267
2 198520
3 200518
4 198416
5 200515
6 200813
7 201012
8 200810
9 20069
10 20039
11 20098
12 20097
13 20097
14 19886
15 20065
16 20043
17 20052
18
Compression research on the REINAS Project
19952
19 20042
20 20252

About Dean Long

Dean Long is a scholar working on Aerospace Engineering, Computational Mechanics, Biomedical Engineering, Environmental Engineering and Automotive Engineering, having authored 33 papers that have together received 449 indexed citations. Recurring topics across this work include Aerodynamics and Acoustics in Jet Flows (24 papers), Fluid Dynamics and Turbulent Flows (14 papers), Acoustic Wave Phenomena Research (11 papers), Wind and Air Flow Studies (8 papers), Combustion and flame dynamics (8 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Advanced Sensor Technologies Research (2 papers) and Gas Dynamics and Kinetic Theory (2 papers). The work is most often cited by research in Computational Mechanics (370 citations), Aerospace Engineering (408 citations), Environmental Engineering (107 citations), Statistical and Nonlinear Physics (34 citations) and Biomedical Engineering (111 citations). Dean Long has collaborated with scholars based in United States, Japan and India. Frequent co-authors include R. E. A. Arndt, Mark Glauser, Peter Maye, Vincent Fleury, James L. Pipkin, Konstantin Davydov, Xiaojun Qiu, Takashi Taniguchi, David Kulp and Alex Pang. Their work appears in journals such as AIAA Journal, Physics of Fluids, Applied Acoustics, Journal of Fluid Mechanics and The Journal of Physical Chemistry Letters.

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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