David Fairhurst

1.3k citations
51 papers · 959 indexed · h-index 18

Impact in

Papers in

David Fairhurst

45 papers receiving 919 citations

Peers

David Fairhurst
Comparison fields: 5 of 112
  • Surfaces, Coatings and Films 102
  • Computational Mechanics 231
  • Biomedical Engineering 383
  • Physical and Theoretical Chemistry 71
  • Electrical and Electronic Engineering 376
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V. Novotný United States
Chris Lowe United Kingdom
D. S. Rimai United States
Shankar Ghosh India
Murat Barışık Türkiye
Satomi Ohnishi Japan
M. Raşa Netherlands
Nikola Radić Croatia
Rochish Thaokar India
Andrew M. Homola United States
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Citations per year

Countries citing papers authored by David Fairhurst

Since Specialization
Citations

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

Fields of papers citing papers by David Fairhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201888
2 198873
3 199272
4 199560
5 199857
6 201047
7 199945
8 202244
9 201542
10 202041
11 201241
12 201029
13 202328
14 201226
15 201423
16 201220
17 199319
18 202119
19 200814
20 201512

About David Fairhurst

David Fairhurst is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Materials Chemistry, Computational Mechanics and Mechanical Engineering, having authored 51 papers that have together received 959 indexed citations. Recurring topics across this work include Nanomaterials and Printing Technologies (12 papers), Fluid Dynamics and Thin Films (6 papers), Pickering emulsions and particle stabilization (6 papers), Material Dynamics and Properties (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Proteins in Food Systems (4 papers), Surfactants and Colloidal Systems (4 papers) and Surface Modification and Superhydrophobicity (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (102 citations), Computational Mechanics (231 citations), Biomedical Engineering (383 citations), Physical and Theoretical Chemistry (71 citations) and Electrical and Electronic Engineering (376 citations). David Fairhurst has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kyle A. Baldwin, R. M. L. Evans, Wilson C. K. Poon, Kailash C. Jena, Hemant Pendse, Haïda Liang, Andrew M. J. Edwards, Stephen D. Jacobs, Chi Shing Cheung and Glen McHale. Their work appears in journals such as Langmuir, Physical Review Letters, Soft Matter, Scientific Reports and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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