Michael W. Reeks

3.6k total citations
49 papers, 2.7k citations indexed

About

Michael W. Reeks is a scholar working on Ocean Engineering, Computational Mechanics and Earth-Surface Processes. According to data from OpenAlex, Michael W. Reeks has authored 49 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ocean Engineering, 39 papers in Computational Mechanics and 14 papers in Earth-Surface Processes. Recurrent topics in Michael W. Reeks's work include Particle Dynamics in Fluid Flows (46 papers), Fluid Dynamics and Turbulent Flows (28 papers) and Granular flow and fluidized beds (15 papers). Michael W. Reeks is often cited by papers focused on Particle Dynamics in Fluid Flows (46 papers), Fluid Dynamics and Turbulent Flows (28 papers) and Granular flow and fluidized beds (15 papers). Michael W. Reeks collaborates with scholars based in United Kingdom, Italy and United States. Michael W. Reeks's co-authors include D. Hall, G.A. Kallio, Joseph R. Reed, S. McKee, R.H.A. IJzermans, M.P. Kissane, David Swailes, B. J. Devenish, Peter Bartello and Lance R. Collins and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Journal of Physics D Applied Physics.

In The Last Decade

Michael W. Reeks

48 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael W. Reeks United Kingdom 24 2.3k 1.9k 643 484 270 49 2.7k
Lance R. Collins United States 33 2.9k 1.3× 2.7k 1.4× 1.7k 2.7× 395 0.8× 174 0.6× 75 3.8k
Markus Uhlmann Germany 20 959 0.4× 2.4k 1.3× 308 0.5× 224 0.5× 302 1.1× 48 2.8k
Cristian Marchioli Italy 27 2.1k 0.9× 2.1k 1.1× 599 0.9× 344 0.7× 132 0.5× 72 2.5k
Wim-Paul Breugem Netherlands 26 1.0k 0.5× 1.9k 1.0× 222 0.3× 184 0.4× 163 0.6× 70 2.6k
Satoru Komori Japan 34 762 0.3× 2.2k 1.2× 470 0.7× 409 0.8× 347 1.3× 149 3.3k
L. I. Zaichik Russia 21 1.2k 0.5× 1.2k 0.7× 362 0.6× 195 0.4× 127 0.5× 133 1.6k
Jean-Pierre Minier France 25 1.2k 0.5× 1.3k 0.7× 176 0.3× 437 0.9× 170 0.6× 51 1.8k
Sourabh V. Apte United States 26 878 0.4× 1.9k 1.0× 159 0.2× 334 0.7× 550 2.0× 97 2.6k
Alain H. Cartellier France 28 1.4k 0.6× 1.7k 0.9× 591 0.9× 162 0.3× 167 0.6× 74 2.6k
David E. Stock United States 15 926 0.4× 1.3k 0.7× 155 0.2× 238 0.5× 248 0.9× 34 1.8k

Countries citing papers authored by Michael W. Reeks

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Reeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Reeks. 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 W. Reeks. The network helps show where Michael W. Reeks may publish in the future.

Co-authorship network of co-authors of Michael W. Reeks

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Reeks. A scholar is included among the top collaborators of Michael W. Reeks 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 W. Reeks. Michael W. Reeks 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.
Marchioli, Cristian, Mickaël Bourgoin, Filippo Coletti, et al.. (2025). Particle-laden flows. International Journal of Multiphase Flow. 191. 105291–105291. 4 indexed citations
2.
Swailes, David, et al.. (2025). Kinetic theory based solutions for particle clustering in turbulent flows. Physics of Fluids. 37(4). 1 indexed citations
3.
Reeks, Michael W.. (2021). The Development and Application of a Kinetic Theory for Modeling Dispersed Particle Flows. Journal of Fluids Engineering. 143(8). 10 indexed citations
4.
Reeks, Michael W., David Swailes, & Andrew D. Bragg. (2018). Is the kinetic equation for turbulent gas-particle flows ill posed?. Physical review. E. 97(2). 23104–23104. 5 indexed citations
5.
Zhang, F., Michael W. Reeks, M.P. Kissane, & R. J. Perkins. (2013). Resuspension of small particles from multilayer deposits in turbulent boundary layers. Journal of Aerosol Science. 66. 31–61. 21 indexed citations
6.
Kissane, M.P., et al.. (2011). Dust in HTRs: Its nature and improving prediction of its resuspension. Nuclear Engineering and Design. 251. 301–305. 45 indexed citations
7.
Gray, Ian, et al.. (2010). Modelling of release of particulate material from transport containers. 21(1). 13–18. 2 indexed citations
8.
IJzermans, R.H.A., et al.. (2009). Measuring segregation of inertial particles in turbulence by a full Lagrangian approach. Physical Review E. 80(1). 15302–15302. 21 indexed citations
9.
IJzermans, R.H.A., et al.. (2009). A Lagrangian approach to droplet condensation in atmospheric clouds. Physics of Fluids. 21(10). 18 indexed citations
10.
Drossinos, Yannis & Michael W. Reeks. (2005). Brownian motion of finite-inertia particles in a simple shear flow. Physical Review E. 71(3). 31113–31113. 18 indexed citations
11.
Marchioli, Cristian, et al.. (2005). Statistics of velocity and preferential accumulation of micro-particles in boundary layer turbulence. Nuclear Engineering and Design. 235(10-12). 1239–1249. 36 indexed citations
12.
Reeks, Michael W.. (2004). On model equations for particle dispersion in inhomogeneous turbulence. International Journal of Multiphase Flow. 31(1). 93–114. 32 indexed citations
13.
Reeks, Michael W., et al.. (2001). Use of a simple model for the interpretation of experimental data on particle resuspension in turbulent flows. Journal of Aerosol Science. 32(10). 1175–1200. 70 indexed citations
14.
Reeks, Michael W.. (1993). On the constitutive relations for dispersed particles in nonuniform flows. I: Dispersion in a simple shear flow. Physics of Fluids A Fluid Dynamics. 5(3). 750–761. 95 indexed citations
15.
Tang, Tao, S. McKee, & Michael W. Reeks. (1991). On a Moving Boundary Solution to the Fokker-Planck Equation for Particle Transport in Turbulent Flows with Absorbing Boundaries. IMA Journal of Applied Mathematics. 47(3). 307–318. 1 indexed citations
16.
Kallio, G.A. & Michael W. Reeks. (1989). A numerical simulation of particle deposition in turbulent boundary layers. International Journal of Multiphase Flow. 15(3). 433–446. 267 indexed citations
17.
Reeks, Michael W.. (1988). The relationship between Brownian motion and the random motion of small particles in a turbulent flow. The Physics of Fluids. 31(6). 1314–1316. 14 indexed citations
18.
McKee, S., Michael W. Reeks, & A. N. Stokes. (1984). The Asymptotic Analysis of Particle Dispersion Caused by Random History Forces. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 64(12). 560–564. 1 indexed citations
19.
Reeks, Michael W. & S. McKee. (1984). The dispersive effects of Basset history forces on particle motion in a turbulent flow. The Physics of Fluids. 27(7). 1573–1582. 51 indexed citations
20.
Reeks, Michael W.. (1983). The transport of discrete particles in inhomogeneous turbulence. Journal of Aerosol Science. 14(6). 729–739. 333 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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