Clive Buckberry

453 citations
25 papers · 332 · h-index 10

Impact in

Papers in

Clive Buckberry

24 papers receiving 305 citations

Peers

Clive Buckberry
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 180
  • Computational Mechanics 113
  • Media Technology 43
  • Fluid Flow and Transfer Processes 25
  • Ecological Modeling 17
Replace Florence Cantelaube with:
Florence Cantelaube France
Thorsten Pfister Germany
Bruno Pouet United States
C. Forno United Kingdom
Jubing Chen China
Armando Albertazzi Brazil
Tomáš Vít Czechia
Kaihua Zhang China
J. D. Hovanesian United States
Y. H. Huang China
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Citations per field
00.5×8.3×
Florence Cantelaube · 1×
Citations per year

Countries citing papers authored by Clive Buckberry

Since Specialization
Citations

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

Fields of papers citing papers by Clive Buckberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Clive Buckberry, 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 Clive Buckberry Line = papers co-authored together Clive Buckberry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199652
2 199943
3 199033
4 199932
5 200028
6 200722
7 199519
8 200016
9 199514
10 199711
11 19918
12 19957
13 19967
14 19976
15 19996
16 19885
17
Measurement of complex surface deformation at audio acoustic frequencies by high-speed dynamic phase stepped ESPI
20005
18 19994
19 19904
20 20004

About Clive Buckberry

Clive Buckberry is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Mechanical Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 332 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (16 papers), Surface Roughness and Optical Measurements (8 papers), Advanced Measurement and Metrology Techniques (7 papers), Advanced Measurement and Detection Methods (4 papers), Digital Holography and Microscopy (4 papers), Image Processing Techniques and Applications (3 papers), Structural Health Monitoring Techniques (2 papers) and Advanced Fiber Optic Sensors (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Computational Mechanics (113 citations), Media Technology (43 citations), Fluid Flow and Transfer Processes (25 citations) and Ecological Modeling (17 citations). Clive Buckberry has collaborated with scholars based in United Kingdom, Germany and Norway. Frequent co-authors include David P. Towers, J.D.C. Jones, Catherine E. Towers, Ralph P. Tatam, Andrew J. Moore, James S. Barton, Mark P. Jones, J. D. Valera, Dylan F. Williams and M. Moshrefi‐Torbati. Their work appears in journals such as Optics and Lasers in Engineering, Measurement Science and Technology, Optics & Laser Technology, Wear and PLoS ONE.

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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