M. N. Macrossan

671 total citations
63 papers, 492 citations indexed

About

M. N. Macrossan is a scholar working on Applied Mathematics, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, M. N. Macrossan has authored 63 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Applied Mathematics, 36 papers in Computational Mechanics and 26 papers in Aerospace Engineering. Recurrent topics in M. N. Macrossan's work include Gas Dynamics and Kinetic Theory (52 papers), Computational Fluid Dynamics and Aerodynamics (28 papers) and Plasma and Flow Control in Aerodynamics (17 papers). M. N. Macrossan is often cited by papers focused on Gas Dynamics and Kinetic Theory (52 papers), Computational Fluid Dynamics and Aerodynamics (28 papers) and Plasma and Flow Control in Aerodynamics (17 papers). M. N. Macrossan collaborates with scholars based in Australia, United States and United Kingdom. M. N. Macrossan's 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 and has published in prestigious journals such as Journal of Applied Physics, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

M. N. Macrossan

56 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. N. Macrossan Australia	13	378	322	178	62	50	63	492
Benzi John United Kingdom	10	394 1.0×	326 1.0×	127 0.7×	89 1.4×	44 0.9×	23	501
Shingo Kosuge Japan	15	521 1.4×	314 1.0×	119 0.7×	92 1.5×	46 0.9×	32	593
Minh Tuan Ho United Kingdom	17	329 0.9×	297 0.9×	98 0.6×	103 1.7×	94 1.9×	29	546
S. A. Zabelok Russia	10	316 0.8×	282 0.9×	116 0.7×	50 0.8×	17 0.3×	25	379
Anirudh Singh Rana India	14	405 1.1×	345 1.1×	54 0.3×	86 1.4×	39 0.8×	36	481
R. Brun France	12	306 0.8×	266 0.8×	174 1.0×	26 0.4×	12 0.2×	44	426
Forrest Lumpkin United States	11	478 1.3×	302 0.9×	280 1.6×	71 1.1×	8 0.2×	26	537
Tobias Hermann United Kingdom	15	301 0.8×	222 0.7×	177 1.0×	34 0.5×	106 2.1×	59	578
Steryios Naris Greece	12	471 1.2×	228 0.7×	166 0.9×	72 1.2×	61 1.2×	20	535
Jennifer Inman United States	16	357 0.9×	485 1.5×	227 1.3×	91 1.5×	15 0.3×	51	704

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 of co-authors of M. N. Macrossan

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

All Works

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20 of 20 papers shown

Goldsworthy, Mark & M. N. Macrossan. (2009). Vibrational degrees of freedom in the Total Collision Energy DSMC chemistry model. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations

Goldsworthy, Mark, et al.. (2008). Stability Analysis of Beagle2 in the Free-Molecular and Transition Regimes. Journal of Spacecraft and Rockets. 45(6). 1207–1212. 2 indexed citations

Macrossan, M. N.. (2008). The direction of the water force on a rowing blade and its effect on efficiency. Queensland's institutional digital repository (The University of Queensland). 4 indexed citations

Macrossan, M. N., et al.. (2008). Energy efficiency of the rowing oar from catch to square-off. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations

Morgan, Richard G., Timothy J. McIntyre, Peter A. Jacobs, et al.. (2006). Impulse facility simulation of hypervelocity radiating flows. University of Southern Queensland ePrints (University of Southern Queensland). 629. 1–6. 5 indexed citations

Macrossan, M. N., et al.. (2006). Back-Splash in Rowing-Shell Propulsion. Queensland's institutional digital repository (The University of Queensland). 27(2). 103–11. 2 indexed citations

Macrossan, M. N., et al.. (2006). True Direction Equilibrium Flux Method Applications on Rectangular 2D Meshes. Queensland's institutional digital repository (The University of Queensland). 239–244. 1 indexed citations

Macrossan, M. N., et al.. (2003). Methods for implementing the stream boundary condition in DSMC computations. International Journal for Numerical Methods in Fluids. 42(12). 1363–1371. 16 indexed citations

Macrossan, M. N.. (2003). μ-DSMC: a general viscosity method for rarefied flow. Journal of Computational Physics. 185(2). 612–627. 14 indexed citations

10.

Macrossan, M. N., et al.. (2002). An investigation of the Sutherland molecular model for DSMC simulations. Queensland's institutional digital repository (The University of Queensland). 1–18.

11.

Macrossan, M. N.. (2001). A particle simulation method for the BGK equation. AIP conference proceedings. 585. 426–433. 27 indexed citations

12.

Macrossan, M. N.. (2001). A particle-only hybrid method for near-continuum flows. AIP conference proceedings. 585. 388–395. 25 indexed citations

13.

Macrossan, M. N.. (2001). ν-DSMC: A Fast Simulation Method for Rarefied Flow. Journal of Computational Physics. 173(2). 600–619. 30 indexed citations

14.

Macrossan, M. N.. (1995). Some Developments of the Equilibrium Particle Simulation Method for the Direct Simulation of Compressible Flows. NASA STI Repository (National Aeronautics and Space Administration). 6 indexed citations

15.

Macrossan, M. N. & D. I. Pullin. (1990). Hypervelocity cone-flow with reaction chemistry by second order kinetic theory based Euler solver. Queensland's institutional digital repository (The University of Queensland). 4(2). 140–1. 1 indexed citations

16.

Macrossan, M. N.. (1989). The equilibrium flux method for the calculation of flows with non-equilibrium chemical reactions. Journal of Computational Physics. 80(1). 204–231. 65 indexed citations

17.

Macrossan, M. N., et al.. (1989). Calculations of three-dimensional hypervelocity cone-flow with chemical reactions. Queensland's institutional digital repository (The University of Queensland). 4 indexed citations

18.

Macrossan, M. N. & R. J. Stalker. (1987). Afterbody flow of a dissociating gas downstream of a blunt nose. 25th AIAA Aerospace Sciences Meeting. 3 indexed citations

19.

Macrossan, M. N., et al.. (1984). Blunt cones in rarefied hypersonic flow: Experiments and Monte-Carlo simulations. Queensland's institutional digital repository (The University of Queensland). 229–240. 4 indexed citations

20.

Davis, J., R. G. Dominy, J. K. Harvey, & M. N. Macrossan. (1983). An evaluation of some collision models used for Monte Carlo calculations of diatomic rarefied hypersonic flows. Journal of Fluid Mechanics. 135. 355–371. 14 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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