M. A. Gallis

2.9k total citations · 1 hit paper
118 papers, 2.3k citations indexed

About

M. A. Gallis is a scholar working on Applied Mathematics, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, M. A. Gallis has authored 118 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Applied Mathematics, 56 papers in Computational Mechanics and 35 papers in Aerospace Engineering. Recurrent topics in M. A. Gallis's work include Gas Dynamics and Kinetic Theory (84 papers), Fluid Dynamics and Turbulent Flows (22 papers) and Particle Dynamics in Fluid Flows (22 papers). M. A. Gallis is often cited by papers focused on Gas Dynamics and Kinetic Theory (84 papers), Fluid Dynamics and Turbulent Flows (22 papers) and Particle Dynamics in Fluid Flows (22 papers). M. A. Gallis collaborates with scholars based in United States, United Kingdom and Australia. M. A. Gallis's co-authors include J. R. Torczynski, Daniel J. Rader, Steven J. Plimpton, Timothy Koehler, Jason M. Reese, Duncan A. Lockerby, J. K. Harvey, G. A. Bird, Alina Alexeenko and Stan Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

M. A. Gallis

111 papers receiving 2.2k citations

Hit Papers

Direct simulation Monte Carlo on petaflop supercomputers ... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. A. Gallis United States 26 1.7k 1.3k 673 437 355 118 2.3k
Sergey Gimelshein United States 31 2.3k 1.3× 1.5k 1.2× 1.2k 1.9× 354 0.8× 274 0.8× 189 3.1k
Manuel Torrilhon Germany 26 2.2k 1.3× 1.9k 1.5× 313 0.5× 387 0.9× 196 0.6× 115 3.0k
Dimitris Valougeorgis Greece 25 1.5k 0.9× 934 0.7× 636 0.9× 366 0.8× 223 0.6× 105 2.2k
М. С. Иванов Russia 24 1.7k 1.0× 1.3k 1.1× 896 1.3× 171 0.4× 145 0.4× 137 2.1k
Irina Graur France 23 1.3k 0.7× 805 0.6× 493 0.7× 272 0.6× 189 0.5× 90 1.7k
Е. В. Кустова Russia 30 2.2k 1.3× 1.2k 0.9× 765 1.1× 171 0.4× 277 0.8× 173 2.6k
Deepak Bose United States 29 2.6k 1.5× 1.6k 1.3× 1.7k 2.5× 185 0.4× 349 1.0× 86 3.3k
Thierry Magin Belgium 28 2.0k 1.2× 1.1k 0.9× 1.0k 1.5× 153 0.4× 500 1.4× 188 3.0k
R.S. Myong South Korea 31 1.3k 0.8× 1.6k 1.3× 960 1.4× 298 0.7× 108 0.3× 147 2.5k
Henning Struchtrup Canada 33 2.7k 1.6× 2.1k 1.7× 453 0.7× 418 1.0× 603 1.7× 119 4.1k

Countries citing papers authored by M. A. Gallis

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Gallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Gallis. 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 M. A. Gallis. The network helps show where M. A. Gallis may publish in the future.

Co-authorship network of co-authors of M. A. Gallis

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Gallis. A scholar is included among the top collaborators of M. A. Gallis 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 M. A. Gallis. M. A. Gallis 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.
Borner, Arnaud, M. A. Gallis, Rita Parai, et al.. (2025). Noble gas fractionation predictions for high speed sampling in the upper atmosphere of Venus. Icarus. 444. 116800–116800.
2.
Gallis, M. A., et al.. (2025). Reaction-induced departures from continuum Navier–Stokes turbulence. Proceedings of the National Academy of Sciences. 122(40). e2508608122–e2508608122.
3.
Gallis, M. A., et al.. (2024). Noncontinuum effects at the smallest scales of turbulence. AIP conference proceedings. 3050. 80007–80007. 1 indexed citations
4.
Gallis, M. A., et al.. (2024). Hydrodynamic fluctuations near a Hopf bifurcation: Stochastic onset of vortex shedding behind a circular cylinder. Physical review. E. 110(4). 45104–45104. 1 indexed citations
5.
Gallis, M. A., et al.. (2024). Toward physically realistic ablation modeling in direct simulation Monte Carlo. Physics of Fluids. 36(12). 1 indexed citations
6.
Gallis, M. A., et al.. (2024). Efficient particle control in systems with large density gradients. Journal of Computational Physics. 508. 112956–112956. 1 indexed citations
7.
Torczynski, J. R., et al.. (2023). Thermal-fluctuation effects on small-scale statistics in turbulent gas flow. Physics of Fluids. 35(1). 10 indexed citations
8.
Torczynski, J. R., et al.. (2023). Molecular-gas-dynamics simulations of turbulent Couette flow over a mean-free-path-scale permeable substrate. Physical Review Fluids. 8(8). 2 indexed citations
9.
Gallis, M. A. & J. R. Torczynski. (2021). Effect of slip on vortex shedding from a circular cylinder in a gas flow. Physical Review Fluids. 6(6). 5 indexed citations
10.
Gallis, M. A., et al.. (2021). Turbulence at the edge of continuum. Physical Review Fluids. 6(1). 21 indexed citations
11.
Torczynski, J. R., et al.. (2021). The Smallest Scales of Turbulence in Gases Are Not Described by the Navier-Stokes Equations. Bulletin of the American Physical Society. 1 indexed citations
12.
Sotin, C., Guillaume Avice, John M. Baker, et al.. (2020). Updates on Cupid's Arrow, a Small Satellite Concept to Measure Noble Gases in Venus Atmosphere. LPI. 2801.
13.
Rabinovitch, Jason, Arnaud Borner, M. A. Gallis, C. Sotin, & John M. Baker. (2020). Cupid's Arrow: Analysis of Hypervelocity Sampling in the Upper Atmosphere of Venus. Lunar and Planetary Science Conference. 2190.
14.
Plimpton, Steven J., Stan Moore, Arnaud Borner, et al.. (2019). Direct simulation Monte Carlo on petaflop supercomputers and beyond. Physics of Fluids. 31(8). 222 indexed citations breakdown →
15.
Gallis, M. A., Timothy Koehler, J. R. Torczynski, & Steven J. Plimpton. (2015). Direct simulation Monte Carlo investigation of the Richtmyer-Meshkov instability. Physics of Fluids. 27(8). 56 indexed citations
16.
Gallis, M. A., J. R. Torczynski, Steven J. Plimpton, Daniel J. Rader, & Timothy Koehler. (2014). Direct simulation Monte Carlo: The quest for speed. AIP conference proceedings. 1628. 27–36. 110 indexed citations
17.
Gallis, M. A., J. R. Torczynski, & Daniel J. Rader. (2008). Nanoparticle Knudsen layers in gas-filled microscale geometries. Physical Review E. 77(3). 36302–36302. 4 indexed citations
18.
Gallis, M. A., J. R. Torczynski, & Daniel J. Rader. (2004). Molecular gas dynamics observations of Chapman-Enskog behavior and departures therefrom in nonequilibrium gases. Physical Review E. 69(4). 42201–42201. 47 indexed citations
19.
Bartel, Timothy & M. A. Gallis. (2001). Rarefied gas dynamics : 22nd International Symposium, Sydney, Australia, 9-14 July 2000. American Institute of Physics eBooks. 2 indexed citations
20.
Gallis, M. A. & J. K. Harvey. (1995). Simulation of chemically reacting flowfields around a 70-deg spherically blunted cone. Journal of Spacecraft and Rockets. 32(4). 581–587. 2 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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