Michael Groom

35 total papers · 477 total citations
12 papers, 349 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 12 papers receiving a total of 349 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, Nitesh Attal, Andrew Hillier, Alex Mahalov, Wouter Mostert, R. J. R. Williams, Praveen Ramaprabhu, Bertrand Rollin and S. Balachandar 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 336 citations

Hit Papers

Rayleigh–Taylor and Richt... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Groom 240 226 83 51 46 12 349
Nitesh Attal 191 0.8× 178 0.8× 61 0.7× 56 1.1× 38 0.8× 12 305
Paul Rightley 301 1.3× 283 1.3× 102 1.2× 52 1.0× 31 0.7× 22 403
Georges Jourdan 260 1.1× 290 1.3× 58 0.7× 70 1.4× 75 1.6× 12 352
D. Souffland 271 1.1× 267 1.2× 30 0.4× 33 0.6× 74 1.6× 15 344
John Niederhaus 276 1.1× 241 1.1× 81 1.0× 126 2.5× 22 0.5× 21 393
Guillaume Layes 254 1.1× 186 0.8× 80 1.0× 112 2.2× 19 0.4× 7 321
Mark Marr-Lyon 166 0.7× 119 0.5× 31 0.4× 38 0.7× 23 0.5× 23 331
Kaushik Balakrishnan 186 0.8× 98 0.4× 134 1.6× 84 1.6× 17 0.4× 26 298
S. M. Golberg 188 0.8× 164 0.7× 21 0.3× 91 1.8× 66 1.4× 20 344
P Blewett 160 0.7× 325 1.4× 43 0.5× 19 0.4× 82 1.8× 6 370

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

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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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