M. A. Gallis

2.9k citations
118 papers · 2.3k indexed · 1 hit paper · h-index 26

M. A. Gallis

111 papers receiving 2.2k citations

Hit Papers

Direct simulation Monte Carlo on petaflop supercomputers ...2019202620212023201950100150200

Peers

M. A. Gallis
Comparison fields: 5 of 78
  • Applied Mathematics 1.7k
  • Computational Mechanics 1.3k
  • Aerospace Engineering 673
  • Ocean Engineering 437
  • Materials Chemistry 355
Replace Sergey Gimelshein with:
Sergey Gimelshein United States
Dimitris Valougeorgis Greece
М. С. Иванов Russia
Deborah A. Levin United States
Manuel Torrilhon Germany
Thierry Magin Belgium
Deepak Bose United States
Е. В. Кустова Russia
R.S. Myong South Korea
Graeme A. Bird United States
M. A. Gallis relative to Sergey Gimelshein United States Sergey Gimelshein's profile →
Citations per field
00.5×1.5×
Sergey Gimelshein · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 1
6 1
7 10
8 2
9 5
10 21
11
The Smallest Scales of Turbulence in Gases Are Not Described by the Navier-Stokes Equations
1
12
Updates on Cupid's Arrow, a Small Satellite Concept to Measure Noble Gases in Venus Atmosphere
0
13
Cupid's Arrow: Analysis of Hypervelocity Sampling in the Upper Atmosphere of Venus
0
14
Direct simulation Monte Carlo on petaflop supercomputers and beyondbreakdown →
222
15 56
16 110
17 4
18 47
19
Rarefied gas dynamics : 22nd International Symposium, Sydney, Australia, 9-14 July 2000
2
20 2

About M. A. Gallis

M. A. Gallis is a scholar working on Applied Mathematics, Computational Mechanics and Ocean Engineering, having authored 118 papers that have together received 2.3k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (84 papers), Fluid Dynamics and Turbulent Flows (22 papers) and Particle Dynamics in Fluid Flows (22 papers). The work is most often cited by research in Applied Mathematics (1.7k citations), Computational Mechanics (1.3k citations) and Ocean Engineering (437 citations). M. A. Gallis has collaborated with scholars based in United States, United Kingdom and Australia. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

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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