David Swailes

746 total citations
39 papers, 568 citations indexed

About

David Swailes is a scholar working on Ocean Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, David Swailes has authored 39 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Ocean Engineering, 18 papers in Computational Mechanics and 6 papers in Mechanical Engineering. Recurrent topics in David Swailes's work include Particle Dynamics in Fluid Flows (18 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Granular flow and fluidized beds (8 papers). David Swailes is often cited by papers focused on Particle Dynamics in Fluid Flows (18 papers), Fluid Dynamics and Turbulent Flows (11 papers) and Granular flow and fluidized beds (8 papers). David Swailes collaborates with scholars based in United Kingdom, United States and Norway. David Swailes's co-authors include Michael W. Reeks, Yu. A. Sergeev, Dehong Huo, Thomas P. Curtis, Jinju Chen, Pahala Gedara Jayathilake, R. Skartlien, Ben Bridgens, Andrew D. Bragg and Steve Rushton and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Frontiers in Microbiology.

In The Last Decade

David Swailes

39 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Swailes United Kingdom 14 251 235 84 83 83 39 568
Changling Wang China 16 53 0.2× 111 0.5× 29 0.3× 39 0.5× 32 0.4× 34 685
Changjian Wang China 17 121 0.5× 143 0.6× 44 0.5× 75 0.9× 115 1.4× 73 983
Henry C.-H. Ng United Kingdom 10 91 0.4× 565 2.4× 286 3.4× 6 0.1× 129 1.6× 26 839
Mayur J. Sathe India 19 283 1.1× 637 2.7× 42 0.5× 11 0.1× 419 5.0× 40 1.0k
R.P. Chhabra India 16 145 0.6× 614 2.6× 118 1.4× 6 0.1× 303 3.7× 42 993
Yue Jiang China 14 35 0.1× 82 0.3× 26 0.3× 36 0.4× 38 0.5× 65 488
David S. Whyte Australia 9 24 0.1× 135 0.6× 61 0.7× 10 0.1× 50 0.6× 28 316
S.J. Lovatt New Zealand 14 25 0.1× 193 0.8× 36 0.4× 25 0.3× 157 1.9× 28 994
Raimondas Jasevičius Lithuania 10 166 0.7× 278 1.2× 13 0.2× 23 0.3× 46 0.6× 38 394

Countries citing papers authored by David Swailes

Since Specialization
Citations

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

Fields of papers citing papers by David Swailes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Swailes

This figure shows the co-authorship network connecting the top 25 collaborators of David Swailes. A scholar is included among the top collaborators of David Swailes 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 David Swailes. David Swailes 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.
Swailes, David, et al.. (2025). Kinetic theory based solutions for particle clustering in turbulent flows. Physics of Fluids. 37(4). 1 indexed citations
2.
Srinil, Narakorn, et al.. (2023). Prediction of unsteady slug flow in a long curved inclined riser with a slug tracking model. International Journal of Multiphase Flow. 162. 104410–104410. 9 indexed citations
3.
Swailes, David, et al.. (2021). Mass flux of dispersed particles in turbulence: Representations and the influence of correlation structure in gravitational settling. Physical review. E. 103(6). 63101–63101. 2 indexed citations
4.
González‐Cabaleiro, Rebeca, Pahala Gedara Jayathilake, Jinju Chen, et al.. (2019). Individual Based Model Links Thermodynamics, Chemical Speciation and Environmental Conditions to Microbial Growth. Frontiers in Microbiology. 10. 1871–1871. 17 indexed citations
5.
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
6.
Jayathilake, Pahala Gedara, Prashant Gupta, Curtis Madsen, et al.. (2017). A mechanistic Individual-based Model of microbial communities. PLoS ONE. 12(8). e0181965–e0181965. 60 indexed citations
7.
Jayathilake, Pahala Gedara, Saikat Jana, Steve Rushton, et al.. (2017). Extracellular Polymeric Substance Production and Aggregated Bacteria Colonization Influence the Competition of Microbes in Biofilms. Frontiers in Microbiology. 8. 1865–1865. 73 indexed citations
8.
Woo, Wai Lok, et al.. (2013). Inferring 3D dimensions of flat objects from a single 2D image. 123–126. 2 indexed citations
9.
Bragg, Andrew D., David Swailes, & R. Skartlien. (2012). Drift-free kinetic equations for turbulent dispersion. Physical Review E. 86(5). 56306–56306. 22 indexed citations
10.
Bragg, Andrew D., David Swailes, & R. Skartlien. (2012). Particle transport in a turbulent boundary layer: Non-local closures for particle dispersion tensors accounting for particle-wall interactions. Physics of Fluids. 24(10). 15 indexed citations
11.
Smith, Peter J., et al.. (2011). A model for the corrosion of steel subjected to synthetic produced water containing sulfate, chloride and hydrogen sulfide. Chemical Engineering Science. 66(23). 5775–5790. 22 indexed citations
12.
Dijk, Peter J. van, et al.. (2010). Spectral-DG Methods for PDF Equations Modelling Particle Transport and Deposition in Turbulent Boundary Layers. AIP conference proceedings. 693–701. 2 indexed citations
13.
Swailes, David, et al.. (2009). Stochastic transport of particles in straining flows. Physical Review E. 79(3). 36305–36305. 2 indexed citations
14.
15.
Swailes, David, et al.. (2008). Algorithms for exact multi-object muscle wrapping and application to the deltoid muscle wrapping around the humerus. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 222(7). 1081–1095. 16 indexed citations
16.
Swailes, David, et al.. (2008). A novel approach to the prediction of musculotendon paths. Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine. 222(1). 51–61. 9 indexed citations
17.
Green, David C., Andrew Metcalfe, & David Swailes. (2002). A MATRIX ANALYTIC MODEL FOR MACHINE MAINTENANCE. 133–146. 2 indexed citations
18.
Babaeyan‐Koopaei, K., et al.. (2000). Optimal Design of Parabolic-Bottomed Triangle Canals. Journal of Irrigation and Drainage Engineering. 126(6). 408–411. 38 indexed citations
19.
Devenish, B. J., David Swailes, Yu. A. Sergeev, & Vadim N. Kurdyumov. (1999). A PDF model for dispersed particles with inelastic particle–wall collisions. Physics of Fluids. 11(7). 1858–1868. 13 indexed citations
20.
Swailes, David, et al.. (1996). RANDOM WALK APPROACH FOR SIMULATION OF PARTICLE DEPOSITION FROM TURBULENT FLOWS. Periodica Polytechnica Mechanical Engineering. 40(2). 143–162. 2 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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