Martin Maxey

10.3k total citations · 3 hit papers
87 papers, 7.7k citations indexed

About

Martin Maxey is a scholar working on Computational Mechanics, Ocean Engineering and Biomedical Engineering. According to data from OpenAlex, Martin Maxey has authored 87 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computational Mechanics, 43 papers in Ocean Engineering and 25 papers in Biomedical Engineering. Recurrent topics in Martin Maxey's work include Particle Dynamics in Fluid Flows (42 papers), Granular flow and fluidized beds (25 papers) and Fluid Dynamics and Turbulent Flows (24 papers). Martin Maxey is often cited by papers focused on Particle Dynamics in Fluid Flows (42 papers), Granular flow and fluidized beds (25 papers) and Fluid Dynamics and Turbulent Flows (24 papers). Martin Maxey collaborates with scholars based in United States, France and China. Martin Maxey's co-authors include James J. Riley, Lian‐Ping Wang, George Em Karniadakis, Kyongmin Yeo, G. R. Ruetsch, Éric Climent, Eugene Chang, Bhavesh Patel, Eric E. Keaveny and S. Balachandar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Martin Maxey

85 papers receiving 7.4k citations

Hit Papers

Equation of motion for a ... 1983 2026 1997 2011 1983 1993 1987 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martin Maxey 5.4k 4.9k 1.8k 1.3k 652 87 7.7k
Federico Toschi 5.4k 1.0× 2.7k 0.5× 836 0.5× 791 0.6× 999 1.5× 238 7.1k
Donald L. Koch 5.0k 0.9× 3.1k 0.6× 572 0.3× 2.1k 1.6× 727 1.1× 222 10.2k
Alfredo Soldati 3.7k 0.7× 3.0k 0.6× 823 0.5× 713 0.5× 1.2k 1.8× 170 5.6k
Eckart Meiburg 3.6k 0.7× 1.4k 0.3× 2.5k 1.4× 530 0.4× 624 1.0× 207 6.9k
James J. Riley 5.2k 1.0× 2.5k 0.5× 1.0k 0.6× 691 0.5× 1.1k 1.7× 156 8.2k
Jacques Magnaudet 5.1k 0.9× 2.3k 0.5× 407 0.2× 3.4k 2.6× 374 0.6× 120 6.7k
Luca Brandt 6.6k 1.2× 2.1k 0.4× 533 0.3× 754 0.6× 954 1.5× 238 7.5k
S. Balachandar 10.2k 1.9× 5.4k 1.1× 2.4k 1.4× 1.2k 0.9× 2.1k 3.2× 373 14.7k
Dick K. P. Yue 3.7k 0.7× 2.6k 0.5× 1.9k 1.1× 471 0.4× 362 0.6× 165 7.6k
Changhoon Lee 2.7k 0.5× 687 0.1× 598 0.3× 1.9k 1.5× 283 0.4× 293 6.0k

Countries citing papers authored by Martin Maxey

Since Specialization
Citations

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

Fields of papers citing papers by Martin Maxey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Maxey. 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 Martin Maxey. The network helps show where Martin Maxey may publish in the future.

Co-authorship network of co-authors of Martin Maxey

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Maxey. A scholar is included among the top collaborators of Martin Maxey 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 Martin Maxey. Martin Maxey 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.
Toscano, Juan Diego, et al.. (2025). AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov-Arnold networks. Science Advances. 11(19). eads5236–eads5236. 5 indexed citations
2.
Lin, Chensen, Martin Maxey, Zhen Li, Kaixuan Zhang, & George Em Karniadakis. (2025). Onset of cavitation and vapor bubble development over hydrophilic and hydrophobic surfaces. Proceedings of the National Academy of Sciences. 122(27). e2503033122–e2503033122.
3.
Lin, Chensen, et al.. (2024). Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning. International Journal of Multiphase Flow. 180. 104959–104959. 2 indexed citations
4.
Dong, Justin, et al.. (2023). Machine learning methods for particle stress development in suspension Poiseuille flows. Rheologica Acta. 62(10). 507–534. 5 indexed citations
5.
Vereda, Fernando, et al.. (2023). Hydrodynamic irreversibility of non-Brownian suspensions in highly confined duct flow. Journal of Fluid Mechanics. 974.
6.
Fujisawa, N., Takayuki YAMAGATA, Akira ABE, & Martin Maxey. (2022). Characterization of swirling-flow behavior in complex pipeline using bubble trajectory method with stereo particle tracking/image velocimetry. Flow Measurement and Instrumentation. 85. 102159–102159. 2 indexed citations
7.
Maxey, Martin, et al.. (2022). Bidisperse suspension balance model. Physical Review Fluids. 7(12). 6 indexed citations
8.
Lin, Chensen, Martin Maxey, Zhen Li, & George Em Karniadakis. (2021). A seamless multiscale operator neural network for inferring bubble dynamics. Journal of Fluid Mechanics. 929. 44 indexed citations
9.
Maxey, Martin, et al.. (2018). Settling of heavy particles in concentrated suspensions of neutrally buoyant particles under uniform shear. Fluid Dynamics Research. 50(4). 41401–41401. 8 indexed citations
10.
Maxey, Martin, et al.. (2018). Simulation study of particle clouds in oscillating shear flow. Journal of Fluid Mechanics. 852. 484–506. 4 indexed citations
11.
Maxey, Martin, et al.. (2015). Particle dispersion in non-stationary and non-uniform suspension flows. Bulletin of the American Physical Society. 1 indexed citations
12.
Morse, Michael, Athena L. Huang, Guanglai Li, Martin Maxey, & Jay X. Tang. (2013). Molecular Adsorption Steers Bacterial Swimming at the Air/Water Interface. Biophysical Journal. 105(1). 21–28. 42 indexed citations
13.
Reddy, Sheila M. W., et al.. (2012). Evidence of market‐driven size‐selective fishing and the mediating effects of biological and institutional factors. Ecological Applications. 23(4). 726–741. 39 indexed citations
14.
Li, Guanglai, et al.. (2011). Accumulation of swimming bacteria near a solid surface. Physical Review E. 84(4). 41932–41932. 95 indexed citations
15.
Yeo, Kyongmin & Martin Maxey. (2010). Rheology and ordering transitions of non-Brownian suspensions in a confined shear flow: Effects of external torques. Physical Review E. 81(6). 62501–62501. 8 indexed citations
16.
Yeo, Kyongmin & Martin Maxey. (2010). Ordering transition of non-Brownian suspensions in confined steady shear flow. Physical Review E. 81(5). 51502–51502. 37 indexed citations
17.
Liu, Don, George Em Karniadakis, & Martin Maxey. (2009). SPECTRAL ELEMENT SIMULATIONS OF FLOW PAST AN ELLIPSOID AT DIFFERENT REYNOLDS NUMBERS. SHILAP Revista de lepidopterología. 2009(24). 149–157. 1 indexed citations
18.
Keaveny, Eric E. & Martin Maxey. (2008). Interactions between comoving magnetic microswimmers. Physical Review E. 77(4). 41910–41910. 18 indexed citations
19.
Dance, Sarah L. & Martin Maxey. (2003). Particle density stratification in transient sedimentation. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(3). 31403–31403. 7 indexed citations
20.
Maxey, Martin. (1990). On the advection of spherical and non-spherical particles in a non-uniform flow. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 333(1631). 289–307. 47 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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