A.R. Davies

44 papers receiving 824 citations

Peers

A.R. Davies
Comparison fields: 5 of 92
  • Fluid Flow and Transfer Processes 340
  • Modeling and Simulation 140
  • Numerical Analysis 146
  • Computational Mechanics 224
  • Statistics, Probability and Uncertainty 75
Replace Marc Gerritsma with:
Marc Gerritsma Netherlands
Mark A. Kelmanson United Kingdom
B. Mena Mexico
H. Pascal Canada
M.‐D. Roselló Spain
N.S. Mera United Kingdom
Ke‐Qin Zhu China
J.‐V. Romero Spain
Péter Vadász South Africa
Takashi Masuoka Japan
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Citations per year

Countries citing papers authored by A.R. Davies

Since Specialization
Citations

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

Fields of papers citing papers by A.R. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.R. Davies. 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 A.R. Davies. The network helps show where A.R. Davies may publish in the future.

Co-authors

The 25 scholars most cited alongside A.R. Davies, 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 A.R. Davies Line = papers co-authored together A.R. Davies links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988111
2 199785
3 198876
4 199443
5 200540
6 199337
7 199729
8 198528
9 198125
10 200825
11 200124
12 200723
13 197922
14 199120
15 198420
16 201420
17 201219
18 199618
19 198616
20 198616

About A.R. Davies

A.R. Davies is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Biomedical Engineering, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 882 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (24 papers), Fluid Dynamics and Turbulent Flows (9 papers), Numerical methods in inverse problems (6 papers), NMR spectroscopy and applications (6 papers), Image and Signal Denoising Methods (6 papers), Probabilistic and Robust Engineering Design (5 papers), Elasticity and Material Modeling (5 papers) and Nanofluid Flow and Heat Transfer (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (340 citations), Modeling and Simulation (140 citations), Numerical Analysis (146 citations), Computational Mechanics (224 citations) and Statistics, Probability and Uncertainty (75 citations). A.R. Davies has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Robert Anderssen, Timothy N. Phillips, Andréas Karageorghis, F. R. de Hoog, K. Walters, Daniel J. Curtis, M.F. Webster, John C. Fry, Neil Goulding and Igor Emri. Their work appears in journals such as Journal of Non-Newtonian Fluid Mechanics, Journal of Rheology, International Journal for Numerical Methods in Engineering, Annals of Applied Biology and Inverse Problems.

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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