Michael Groom

493 total citations · 1 hit paper
13 papers, 353 citations indexed

About

Michael Groom is a scholar working on Computational Mechanics, Nuclear and High Energy Physics and Aerospace Engineering. According to data from OpenAlex, Michael Groom has authored 13 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 9 papers in Nuclear and High Energy Physics and 4 papers in Aerospace Engineering. Recurrent topics in Michael Groom's work include Laser-Plasma Interactions and Diagnostics (9 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Computational Fluid Dynamics and Aerodynamics (5 papers). Michael Groom is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (9 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Computational Fluid Dynamics and Aerodynamics (5 papers). Michael Groom collaborates with scholars based in Australia, United Kingdom and United States. Michael Groom's co-authors include Ben Thornber, Ye Zhou, Wouter Mostert, Nitesh Attal, Alex Mahalov, Bertrand Rollin, R. J. R. Williams, Praveen Ramaprabhu, S. Balachandar and Andrew Hillier and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Physica D Nonlinear Phenomena.

In The Last Decade

Michael Groom

10 papers receiving 340 citations

Hit Papers

Rayleigh–Taylor and Richtmyer–Meshkov instabilities: A jo... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Michael Groom
Nitesh Attal United States
Paul Rightley United States
M. Lombardini United States
John Niederhaus United States
Kaushik Balakrishnan United States
Yu Liang China
Nitesh Attal United States
Michael Groom
Citations per year, relative to Michael Groom Michael Groom (= 1×) peers Nitesh Attal

Countries citing papers authored by Michael Groom

Since Specialization
Citations

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

Fields of papers citing papers by Michael Groom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Groom

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Groom. A scholar is included among the top collaborators of Michael Groom 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 Michael Groom. Michael Groom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Groom, Michael, et al.. (2025). Turbulence modeling of mixing layers under anisotropic strain. Physical Review Fluids. 10(6).
3.
Groom, Michael, et al.. (2024). Impact of axial strain on linear, transitional and self-similar turbulent mixing layers. Journal of Fluid Mechanics. 999. 1 indexed citations
5.
Groom, Michael & Ben Thornber. (2023). Numerical simulation of an idealised Richtmyer–Meshkov instability shock tube experiment. Journal of Fluid Mechanics. 964. 7 indexed citations
6.
Groom, Michael & Toby P. Breckon. (2022). On Depth Error from Spherical Camera Calibration within Omnidirectional Stereo Vision. 2022 26th International Conference on Pattern Recognition (ICPR). 2015. 3987–3993.
7.
Zhou, Ye, R. J. R. Williams, Praveen Ramaprabhu, et al.. (2021). Rayleigh–Taylor and Richtmyer–Meshkov instabilities: A journey through scales. Physica D Nonlinear Phenomena. 423. 132838–132838. 236 indexed citations breakdown →
8.
Groom, Michael & Ben Thornber. (2020). Reynolds number dependence of turbulence induced by the Richtmyer–Meshkov instability using direct numerical simulations. Journal of Fluid Mechanics. 908. 19 indexed citations
9.
Groom, Michael & Ben Thornber. (2020). A Comparative Study of High-Resolution Upwind Methods in Unsteady Low Mach Number Flows. 2 indexed citations
10.
Groom, Michael & Ben Thornber. (2020). The influence of initial perturbation power spectra on the growth of a turbulent mixing layer induced by Richtmyer–Meshkov instability. Physica D Nonlinear Phenomena. 407. 132463–132463. 29 indexed citations
11.
Zhou, Ye, Michael Groom, & Ben Thornber. (2020). Dependence of Enstrophy Transport and Mixed Mass on Dimensionality and Initial Conditions in the Richtmyer–Meshkov Instability Induced Flows1. Journal of Fluids Engineering. 142(12). 17 indexed citations
12.
Groom, Michael & Ben Thornber. (2019). Direct numerical simulation of the multimode narrowband Richtmyer–Meshkov instability. Computers & Fluids. 194. 104309–104309. 20 indexed citations
13.
Thornber, Ben, Michael Groom, & D. L. Youngs. (2018). A five-equation model for the simulation of miscible and viscous compressible fluids. Journal of Computational Physics. 372. 256–280. 21 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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