Andrew Garmory

924 total citations
47 papers, 727 citations indexed

About

Andrew Garmory is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Andrew Garmory has authored 47 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Mechanics, 16 papers in Aerospace Engineering and 13 papers in Environmental Engineering. Recurrent topics in Andrew Garmory's work include Combustion and flame dynamics (21 papers), Wind and Air Flow Studies (13 papers) and Advanced Combustion Engine Technologies (12 papers). Andrew Garmory is often cited by papers focused on Combustion and flame dynamics (21 papers), Wind and Air Flow Studies (13 papers) and Advanced Combustion Engine Technologies (12 papers). Andrew Garmory collaborates with scholars based in United Kingdom, Germany and Netherlands. Andrew Garmory's co-authors include Epaminondas Mastorakos, M. Dianat, Martin Passmore, Rex E. Britter, Prashant Kumar, Rex Britter, Adrian Gaylard, Matthias Ketzel, Ruwim Berkowicz and J. F. Carrotte and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Computational Physics and Atmospheric Environment.

In The Last Decade

Andrew Garmory

45 papers receiving 710 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Garmory United Kingdom 15 487 214 206 176 123 47 727
İbrahim Yavuz United States 8 623 1.3× 220 1.0× 199 1.0× 283 1.6× 45 0.4× 37 854
Farzad Bazdidi–Tehrani Iran 19 586 1.2× 105 0.5× 248 1.2× 350 2.0× 47 0.4× 76 966
GE Andrews United Kingdom 16 423 0.9× 147 0.7× 63 0.3× 756 4.3× 530 4.3× 71 1.1k
T. Kashiwagi United States 11 258 0.5× 101 0.5× 82 0.4× 212 1.2× 382 3.1× 14 633
Laurie Goldsworthy Australia 15 311 0.6× 243 1.1× 272 1.3× 77 0.4× 8 0.1× 45 814
John L. de Ris United States 15 443 0.9× 142 0.7× 167 0.8× 473 2.7× 1.1k 8.7× 24 1.3k
S. H. El Tahry United States 12 550 1.1× 470 2.2× 85 0.4× 156 0.9× 36 0.3× 16 672
Hee Chang Lim South Korea 9 282 0.6× 268 1.3× 256 1.2× 181 1.0× 8 0.1× 16 723
I.C. Tolias Greece 13 94 0.2× 40 0.2× 131 0.6× 340 1.9× 206 1.7× 19 470
Siaka Dembele United Kingdom 18 483 1.0× 124 0.6× 157 0.8× 438 2.5× 498 4.0× 56 942

Countries citing papers authored by Andrew Garmory

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Garmory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Garmory

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Garmory. A scholar is included among the top collaborators of Andrew Garmory based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Garmory. Andrew Garmory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Garmory, Andrew, et al.. (2024). Air-Film Coupling in Prefilming Airblast Atomisers and the Implications for Subsequent Atomisation. Flow Turbulence and Combustion. 113(4). 975–1002. 1 indexed citations
2.
Garmory, Andrew, et al.. (2022). Characterisation of the Tyre Spray Ejected Downstream of a Bluff Automotive Body. SAE International Journal of Advances and Current Practices in Mobility. 5(1). 404–418.
3.
Garmory, Andrew, et al.. (2022). On the wake of an isolated rotating wheel: An experimental and numerical investigation. Journal of Wind Engineering and Industrial Aerodynamics. 227. 105049–105049. 6 indexed citations
4.
Coombes, Matthew, et al.. (2022). The influence of rotor downwash on spray distribution under a quadrotor unmanned aerial system. Computers and Electronics in Agriculture. 196. 106807–106807. 19 indexed citations
5.
6.
Spencer, A. J. M., et al.. (2020). Application of the PODFS method to inlet turbulence generated using the digital filter technique. Journal of Computational Physics. 415. 109541–109541. 4 indexed citations
7.
Garmory, Andrew, et al.. (2020). The Effects of Turbulence on Jet Stability and the Flame Transfer Function in a Lean-burn Combustor. Combustion Science and Technology. 192(11). 2115–2137. 5 indexed citations
8.
9.
Hodgson, Graham, Martin Passmore, Andrew Garmory, & Adrian Gaylard. (2018). An Objective Measure for Automotive Surface Contamination. SAE International Journal of Passenger Cars - Mechanical Systems. 11(5). 341–351. 4 indexed citations
10.
Dianat, M., et al.. (2017). Coupled Level-Set Volume of Fluid Simulations of Water Flowing Over a Simplified Drainage Channel With and Without Air Coflow. SAE International Journal of Passenger Cars - Mechanical Systems. 10(1). 369–377. 8 indexed citations
11.
Hodgson, Graham, et al.. (2017). A Parametric Study of Automotive Rear End Geometries on Rear Soiling. SAE International Journal of Passenger Cars - Mechanical Systems. 10(2). 553–562. 12 indexed citations
12.
Dianat, M., et al.. (2017). A Coupled Level Set and Volume of Fluid method for automotive exterior water management applications. International Journal of Multiphase Flow. 91. 19–38. 66 indexed citations
13.
Garmory, Andrew, et al.. (2016). Experimental and Computational Study of Vehicle Surface Contamination on a Generic Bluff Body. SAE technical papers on CD-ROM/SAE technical paper series. 1. 17 indexed citations
14.
Garmory, Andrew, et al.. (2015). Measurements and computational fluid dynamics predictions of the acoustic impedance of orifices. Journal of Sound and Vibration. 352. 174–191. 46 indexed citations
15.
Garmory, Andrew & Epaminondas Mastorakos. (2013). Sensitivity analysis of LES–CMC predictions of piloted jet flames. International Journal of Heat and Fluid Flow. 39. 53–63. 17 indexed citations
16.
Stow, Simon R., et al.. (2011). Conditional Moment Closure LES Modelling of an Aero-Engine Combustor at Relight Conditions. Volume 2: Combustion, Fuels and Emissions, Parts A and B. 75–89. 5 indexed citations
17.
Garmory, Andrew & Epaminondas Mastorakos. (2010). Capturing localised extinction in Sandia Flame F with LES–CMC. Proceedings of the Combustion Institute. 33(1). 1673–1680. 82 indexed citations
18.
Garmory, Andrew, et al.. (2008). Simulations of the dispersion of reactive pollutants in a street canyon, considering different chemical mechanisms and micromixing. Atmospheric Environment. 43(31). 4670–4680. 47 indexed citations
19.
Garmory, Andrew & Epaminondas Mastorakos. (2008). Aerosol nucleation and growth in a turbulent jet using the Stochastic Fields method. Chemical Engineering Science. 63(16). 4078–4089. 31 indexed citations
20.
Garmory, Andrew, E.S. Richardson, & Epaminondas Mastorakos. (2005). Micromixing Effects In Air Pollution Modelling. ePrints Soton (University of Southampton). 82. 1 indexed citations

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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