M. N. Macrossan

671 citations
63 papers · 492 indexed · h-index 13

M. N. Macrossan

56 papers receiving 457 citations

Peers

M. N. Macrossan
Comparison fields: 5 of 40
  • Applied Mathematics 378
  • Computational Mechanics 322
  • Aerospace Engineering 178
  • Ocean Engineering 62
  • Catalysis 13
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Citations per year

Countries citing papers authored by M. N. Macrossan

Since Specialization
Citations

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

Fields of papers citing papers by M. N. Macrossan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside M. N. Macrossan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. N. Macrossan Line = papers co-authored together M. N. Macrossan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Vibrational degrees of freedom in the Total Collision Energy DSMC chemistry model
20091
2 20082
3
The direction of the water force on a rowing blade and its effect on efficiency
20084
4
Energy efficiency of the rowing oar from catch to square-off
20081
5
Impulse facility simulation of hypervelocity radiating flows
20065
6 20062
7
True Direction Equilibrium Flux Method Applications on Rectangular 2D Meshes
20061
8 200316
9 200314
10
An investigation of the Sutherland molecular model for DSMC simulations
20020
11 200127
12 200125
13 200130
14
Some Developments of the Equilibrium Particle Simulation Method for the Direct Simulation of Compressible Flows
19956
15
Hypervelocity cone-flow with reaction chemistry by second order kinetic theory based Euler solver
19901
16 198965
17
Calculations of three-dimensional hypervelocity cone-flow with chemical reactions
19894
18 19873
19
Blunt cones in rarefied hypersonic flow: Experiments and Monte-Carlo simulations
19844
20 198314

About M. N. Macrossan

M. N. Macrossan is a scholar working on Applied Mathematics, Computational Mechanics and Aerospace Engineering, having authored 63 papers that have together received 492 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (52 papers), Computational Fluid Dynamics and Aerodynamics (28 papers), Plasma and Flow Control in Aerodynamics (17 papers), Fluid Dynamics and Turbulent Flows (11 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Combustion and Detonation Processes (5 papers), Particle Dynamics in Fluid Flows (5 papers) and Sports Performance and Training (3 papers). The work is most often cited by research in Applied Mathematics (378 citations), Computational Mechanics (322 citations) and Aerospace Engineering (178 citations). M. N. Macrossan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include João C. Diniz da Costa, D. I. Pullin, Mikel Duke, Mark Goldsworthy, Paulo Smith Schneider, J. K. Harvey, Peter A. Jacobs, Vincent Wheatley, R. G. Dominy and J. Davis. Their work appears in journals such as Journal of Applied Physics, Journal of Fluid Mechanics and Journal of Computational 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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