David S. Whyte

27 papers receiving 298 citations

Peers

David S. Whyte
Comparison fields: 5 of 65
  • Earth-Surface Processes 61
  • Computational Mechanics 135
  • Environmental Engineering 61
  • Agronomy and Crop Science 33
  • Microbiology 14
Replace Zhichong Wang with:
Zhichong Wang China
Neelam Choudhary India
Joseph C. Ferguson United States
T. Lloyd United Kingdom
Dongxu Wang China
David Swailes United Kingdom
Mathieu Massinon Belgium
Cathal Cummins United Kingdom
Onno Ubbink South Africa
Julia Cossé United States
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Citations per year

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-authors

The 25 scholars most cited alongside David S. Whyte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David S. Whyte Line = papers co-authored together David S. Whyte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200677
2 200653
3 200533
4 201921
5 201517
6 201414
7 199914
8 201811
9 201310
10 20178
11 20157
12
Rip Characterisation on the Gold Coast, Australia: An Analysis using Coastal Imaging Techniques
20056
13 20156
14 20165
15 20215
16 20084
17 20104
18 20164
19 20003
20 20053

About David S. Whyte

David S. Whyte is a scholar working on Computational Mechanics, Biomedical Engineering, Materials Chemistry, Ocean Engineering and Agronomy and Crop Science, having authored 28 papers that have together received 316 indexed citations. Recurring topics across this work include Cyclone Separators and Fluid Dynamics (6 papers), Fluid Dynamics and Mixing (6 papers), Pickering emulsions and particle stabilization (6 papers), Metallurgical Processes and Thermodynamics (4 papers), Particle Dynamics in Fluid Flows (4 papers), Fluid Dynamics and Heat Transfer (3 papers), Milk Quality and Mastitis in Dairy Cows (3 papers) and Geological formations and processes (2 papers). The work is most often cited by research in Earth-Surface Processes (61 citations), Computational Mechanics (135 citations), Environmental Engineering (61 citations), Agronomy and Crop Science (33 citations) and Microbiology (14 citations). David S. Whyte has collaborated with scholars based in Australia, Ireland and New Zealand. Frequent co-authors include M. Cheng, Jing Lou, Ian L. Turner, Roshanka Ranasinghe, David F. Fletcher, Gerben Ruessink, Stefan Hutzler, D. Weaire, M. G. Trefry and Michael R.W. Walmsley. Their work appears in journals such as Process Safety and Environmental Protection, Colloids and Surfaces A Physicochemical and Engineering Aspects, Soft Matter, Journal of Dairy Research and Chemical Engineering Science.

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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