R.J. Clarke
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Aerospace Engineering top 10%
- Cognitive Neuroscience
- Computational Mechanics
- Co-authors
- Paul D. GamlinHongyu ZhangW.K. ChamThomas RichardsonDominique FoataJohn HodgkinsonJohn BurkenMichael J. Allen
- Topics
- Advanced Data Compression Techniques (21 papers)Image and Signal Denoising Methods (17 papers)Advanced Vision and Imaging (12 papers)
- Cited by
- Signal ProcessingDiscrete Mathematics and CombinatoricsComputer Vision and Pattern Recognition
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
R.J. Clarke
67 papers receiving 579 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 227
- Signal Processing 166
- Aerospace Engineering 143
- Cognitive Neuroscience 51
- Computational Mechanics 50
Countries citing papers authored by R.J. Clarke
This map shows the geographic impact of R.J. Clarke'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 R.J. Clarke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.J. Clarke more than expected).
Fields of papers citing papers by R.J. Clarke
This network shows the impact of papers produced by R.J. Clarke. 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 R.J. Clarke. The network helps show where R.J. Clarke may publish in the future.
Co-authorship network of co-authors of R.J. Clarke
This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Clarke. A scholar is included among the top collaborators of R.J. Clarke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R.J. Clarke. R.J. Clarke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 15 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | Spatial domain coding techniques for image sequences | 2 |
| 12 | Motion compensation techniques in image sequence coding | 1 |
| 13 | King's walk on the infinite chessboard. | 4 |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | Lowpass filtering in the cosine transform domain | 16 |
About R.J. Clarke
R.J. Clarke is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Discrete Mathematics and Combinatorics, having authored 75 papers that have together received 624 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (21 papers), Image and Signal Denoising Methods (17 papers) and Advanced Vision and Imaging (12 papers). The work is most often cited by research in Signal Processing (166 citations), Discrete Mathematics and Combinatorics (44 citations) and Computer Vision and Pattern Recognition (227 citations). R.J. Clarke has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul D. Gamlin, Hongyu Zhang, W.K. Cham, Thomas Richardson, Dominique Foata, John Hodgkinson, John Burken, Michael J. Allen, Guo-Niu Han and Jiang Zeng. Their work appears in journals such as Journal of Neurophysiology, Sensors and SAE technical papers on CD-ROM/SAE technical paper series.
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.