David S. Whyte

445 total citations
28 papers, 316 citations indexed

About

David S. Whyte is a scholar working on Computational Mechanics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, David S. Whyte has authored 28 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 7 papers in Biomedical Engineering and 6 papers in Materials Chemistry. Recurrent topics in David S. Whyte's work include Cyclone Separators and Fluid Dynamics (6 papers), Fluid Dynamics and Mixing (6 papers) and Pickering emulsions and particle stabilization (6 papers). David S. Whyte is often cited by papers focused on Cyclone Separators and Fluid Dynamics (6 papers), Fluid Dynamics and Mixing (6 papers) and Pickering emulsions and particle stabilization (6 papers). David S. Whyte collaborates with scholars based in Australia, Ireland and New Zealand. David S. Whyte's co-authors include Jing Lou, M. Cheng, Roshanka Ranasinghe, Ian L. Turner, David F. Fletcher, Gerben Ruessink, Stefan Hutzler, D. Weaire, M. G. Trefry and Michael R.W. Walmsley and has published in prestigious journals such as Chemical Engineering Science, International Journal for Numerical Methods in Engineering and Soft Matter.

In The Last Decade

David S. Whyte

27 papers receiving 298 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 S. Whyte Australia 9 135 61 61 54 53 28 316
Zhichong Wang China 15 88 0.7× 25 0.4× 20 0.3× 31 0.6× 71 1.3× 43 556
Joseph C. Ferguson United States 12 167 1.2× 23 0.4× 5 0.1× 81 1.5× 135 2.5× 21 509
Iman Lashgari Sweden 12 376 2.8× 27 0.4× 23 0.4× 25 0.5× 21 0.4× 13 431
Xin Du China 13 215 1.6× 27 0.4× 31 0.5× 54 1.0× 15 0.3× 21 342
T. Lloyd United Kingdom 11 146 1.1× 49 0.8× 7 0.1× 119 2.2× 12 0.2× 41 425
Onno Ubbink South Africa 3 521 3.9× 17 0.3× 32 0.5× 55 1.0× 35 0.7× 5 632
Mohammad Reza Talaee Iran 13 41 0.3× 35 0.6× 32 0.5× 84 1.6× 31 0.6× 35 387
Andreas ten Cate Netherlands 8 577 4.3× 28 0.5× 43 0.7× 53 1.0× 26 0.5× 12 667
Henda Djéridi France 13 244 1.8× 49 0.8× 10 0.2× 83 1.5× 27 0.5× 21 368

Countries citing papers authored by David S. Whyte

Since Specialization
Citations

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

Fields of papers citing papers by David S. Whyte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Whyte

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Whyte. A scholar is included among the top collaborators of David S. Whyte 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 S. Whyte. David S. Whyte 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.
Fletcher, David F., et al.. (2023). Application of Stress Blended Eddy Simulation to the prediction of clarified layer depth and solids suspension in a draft tube reactor. Process Safety and Environmental Protection. 197. 292–306.
2.
Fletcher, David F., et al.. (2021). Impact of impeller modelling approaches on SBES simulations of flow and residence time in a draft tube reactor. Process Safety and Environmental Protection. 178. 157–163. 1 indexed citations
3.
Fletcher, David F., et al.. (2019). Application of hybrid RANS-LES models to the prediction of flow behaviour in an industrial crystalliser. Applied Mathematical Modelling. 77. 1797–1819. 21 indexed citations
4.
Fletcher, David F., et al.. (2018). Investigation of turbulence model selection on the predicted flow behaviour in an industrial crystalliser — RANS and URANS approaches. Process Safety and Environmental Protection. 140. 205–220. 11 indexed citations
5.
6.
Whyte, David S., Benjamin Haffner, Atsushi Tanaka, Tuomo Hjelt, & Stefan Hutzler. (2017). Interactions of fibres with simple arrangements of soap films. Colloids and Surfaces A Physicochemical and Engineering Aspects. 534. 112–119. 8 indexed citations
7.
Graham, Lachlan, et al.. (2016). Laboratory modelling of erosion damage by vortices in slurry flow. Hydrometallurgy. 170. 43–50. 5 indexed citations
8.
Whyte, David S., et al.. (2015). Applications and extensions of the Z-cone model for the energy of a foam. Colloids and Surfaces A Physicochemical and Engineering Aspects. 473. 115–122. 7 indexed citations
9.
Whyte, David S., et al.. (2015). Adaptation of theZ-cone model to the estimation of the energy of a bcc foam. The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics. 95(35). 4023–4034. 6 indexed citations
10.
Whyte, David S., D. Weaire, Wiebke Drenckhan, & Stefan Hutzler. (2015). The relative energy of fcc and hcp foams. Philosophical Magazine Letters. 95(6). 319–323. 2 indexed citations
11.
Hutzler, Stefan, et al.. (2014). Z-cone model for the energy of an ordered foam. Soft Matter. 10(36). 7103–7108. 14 indexed citations
12.
Whyte, David S., et al.. (2013). Dynamic flow modelling in precipitator vessels – A study of turbulence modelling approaches. Applied Mathematical Modelling. 38(17-18). 4163–4174. 10 indexed citations
13.
Verbeek, Casparus J. R., et al.. (2008). Rheology of the gel formed in the California Mastitis Test. Journal of Dairy Research. 75(4). 385–391. 4 indexed citations
14.
Turner, Ian L., David S. Whyte, Gerben Ruessink, & Roshanka Ranasinghe. (2006). Observations of rip spacing, persistence and mobility at a long, straight coastline. Marine Geology. 236(3-4). 209–221. 53 indexed citations
15.
Whyte, David S., Ian L. Turner, & Roshanka Ranasinghe. (2005). Rip Characterisation on the Gold Coast, Australia: An Analysis using Coastal Imaging Techniques. 233. 6 indexed citations
16.
Whyte, David S., et al.. (2005). Chemical and rheological aspects of gel formation in the California Mastitis Test. Journal of Dairy Research. 72(1). 115–121. 33 indexed citations
17.
Whyte, David S., et al.. (2002). Deformation of a Droplet Passing Through a Contraction. 773–779. 2 indexed citations
18.
Whyte, David S., et al.. (2000). Measurement of somatic cell count, fat and protein in milk using visible to near infra-red spectroscopy.. 1–11. 2 indexed citations
19.
Whyte, David S., Malcolm R. Davidson, Steven L. Carnie, & Murray Rudman. (2000). Calculation of droplet deformation at intermediate Reynolds number using a Volume of Fluid technique. ANZIAM Journal. 42. 1520–1520. 2 indexed citations
20.
Trefry, M. G., et al.. (2000). A time-synchronous domain decomposition code for multiphysics systems. ANZIAM Journal. 42. 1443–1443. 3 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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