Greg Knowles
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Computational Theory and Mathematics top 5%
- Computational Mechanics top 5%
- Media Technology top 2%
- Co-authors
- Igor KluvánekR. J. DuffinJ. M. BallMartin DonnelleyPaul Gardner-StephenCharles V. CoffmanAndrew ZissermanA. Blake
- Topics
- Image and Signal Denoising Methods (7 papers)Advanced Data Compression Techniques (5 papers)Building Energy and Comfort Optimization (4 papers)
- Journals
- IEEE Transactions on Image ProcessingSolar EnergyArchive for Rational Mechanics and Analysis
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Greg Knowles
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 753
- Signal Processing 291
- Computational Theory and Mathematics 173
- Computational Mechanics 164
- Media Technology 153
Countries citing papers authored by Greg Knowles
This map shows the geographic impact of Greg Knowles'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 Greg Knowles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Knowles more than expected).
Fields of papers citing papers by Greg Knowles
This network shows the impact of papers produced by Greg Knowles. 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 Greg Knowles. The network helps show where Greg Knowles may publish in the future.
Co-authorship network of co-authors of Greg Knowles
This figure shows the co-authorship network connecting the top 25 collaborators of Greg Knowles. A scholar is included among the top collaborators of Greg Knowles 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 Greg Knowles. Greg Knowles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | Hardware acceleration of JPEG2000 image compression for low-power embedded applications | 1 |
| 7 | 5 | |
| 8 | 486 | |
| 9 | 105 | |
| 10 | 136 | |
| 11 | 37 | |
| 12 | 8 | |
| 13 | 30 | |
| 14 | 3 | |
| 15 | 101 | |
| 16 | 17 | |
| 17 | 12 | |
| 18 | 22 | |
| 19 | 0 | |
| 20 | Vector measures and control systems | 161 |
About Greg Knowles
Greg Knowles is a scholar working on Numerical Analysis, Media Technology and Hardware and Architecture, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Advanced Data Compression Techniques (5 papers) and Building Energy and Comfort Optimization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (753 citations), Signal Processing (291 citations) and Media Technology (153 citations). Greg Knowles has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Igor Kluvánek, R. J. Duffin, J. M. Ball, Martin Donnelley, Paul Gardner-Stephen, Charles V. Coffman, Andrew Zisserman, A. Blake and Bernard D. Coleman. Their work appears in journals such as IEEE Transactions on Image Processing, Solar Energy and Archive for Rational Mechanics and Analysis.
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.