Stephen Garrett

1.2k citations
62 papers · 963 · h-index 20

Impact in

Papers in

Stephen Garrett

58 papers receiving 924 citations

Peers

Stephen Garrett
Comparison fields: 5 of 71
  • Computational Mechanics 769
  • Fluid Flow and Transfer Processes 77
  • Biomedical Engineering 285
  • Aerospace Engineering 158
  • Mechanical Engineering 237
Replace James P. Denier with:
James P. Denier Australia
Zhen‐Hua Wan China
Jean-Pierre Hickey Canada
Jitesh S. B. Gajjar United Kingdom
Rayhaneh Akhavan United States
Laurent Bricteux Belgium
S. J. D. D’Alessio Canada
H.-E. Albrecht Germany
Motoyuki ITOH Japan
Patricia Ern France
Stephen Garrett relative to James P. Denier Australia James P. Denier's profile →
Citations per field
00.5×4.5×
James P. Denier · 1×
Citations per year

Countries citing papers authored by Stephen Garrett

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Garrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Garrett, 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 Stephen Garrett Line = papers co-authored together Stephen Garrett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199986
2 200961
3 200256
4 200654
5 201552
6 201634
7 202034
8 201032
9 201931
10 201530
11 201428
12 201127
13 201127
14 202025
15 201423
16 201622
17 200321
18
A selective review of CFD transition models
200921
19 201520
20 201620

About Stephen Garrett

Stephen Garrett is a scholar working on Computational Mechanics, Aerospace Engineering, Biomedical Engineering, Global and Planetary Change and Ocean Engineering, having authored 62 papers that have together received 963 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (52 papers), Fluid Dynamics and Vibration Analysis (30 papers), Nanofluid Flow and Heat Transfer (10 papers), Plant Water Relations and Carbon Dynamics (9 papers), Aerodynamics and Acoustics in Jet Flows (7 papers), Particle Dynamics in Fluid Flows (7 papers), Heat Transfer Mechanisms (6 papers) and Aeolian processes and effects (6 papers). The work is most often cited by research in Computational Mechanics (769 citations), Fluid Flow and Transfer Processes (77 citations), Biomedical Engineering (285 citations), Aerospace Engineering (158 citations) and Mechanical Engineering (237 citations). Stephen Garrett has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Zahir Hussain, N. Peake, Sharon O. Stephen, Paul Griffiths, Peter J. Thomas, Antonio Segalini, Melissa M. Brown, Sanjay Sharma, Gary C. Brown and A. J. Cooper. Their work appears in journals such as Physics of Fluids, European Journal of Mechanics - B/Fluids, Journal of Fluid Mechanics, Journal of Non-Newtonian Fluid Mechanics and Physical Review Fluids.

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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