David Canright

1.2k citations
20 papers · 865 · h-index 9

Impact in

Papers in

David Canright

17 papers receiving 807 citations

Peers

David Canright
Comparison fields: 5 of 51
  • Hardware and Architecture 258
  • Artificial Intelligence 603
  • Computer Vision and Pattern Recognition 345
  • Geophysics 131
  • Signal Processing 103
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Citations per field
00.5×5×10×14.6×
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Citations per year

Countries citing papers authored by David Canright

Since Specialization
Citations

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

Fields of papers citing papers by David Canright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside David Canright, 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 Canright Line = papers co-authored together David Canright links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2005387
2 1984132
3 2008120
4 2010116
5 199338
6 199415
7 199113
8 200911
9 19949
10 20158
11 19914
12
A finite-amplitude analysis of the buoyant instability of a highly viscous film over a less viscous half-space
19873
13 20112
14
The Naval Space Command Automatic Differential Correction Process
19932
15
Masking a compact AES S-box
20072
16
A Very Compact S-Box for AES
20051
17
Similarity solutions for phase-change problems
19891
18
A Very Compact "Perfectly Masked" S-Box for AES
20081
19 20020
20 19980

About David Canright

David Canright is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Materials Chemistry and Electrical and Electronic Engineering, having authored 20 papers that have together received 865 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (5 papers), Fluid Dynamics and Turbulent Flows (4 papers), Coding theory and cryptography (3 papers), Solidification and crystal growth phenomena (3 papers), Fluid Dynamics and Thin Films (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers) and graph theory and CDMA systems (2 papers). The work is most often cited by research in Hardware and Architecture (258 citations), Artificial Intelligence (603 citations), Computer Vision and Pattern Recognition (345 citations), Geophysics (131 citations) and Signal Processing (103 citations). David Canright has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Stephen J. Morris, Lejla Batina, Dag Arne Osvik, Deian Stefan, Joppe W. Bos, Stephen W. Morris, Stephen H. Davis, Pantelimon Stănică, Sugata Gangopadhyay and D. A. Danielson. Their work appears in journals such as Physics of Fluids, Journal of Crystal Growth, The Journal of the Acoustical Society of America, Discrete Mathematics and Journal of Fluid Mechanics.

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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