Greg Knowles

1.9k citations
38 papers · 1.5k · 1 hit paper · h-index 14

Impact in

Papers in

Greg Knowles

35 papers receiving 1.3k citations

Greg Knowles's Hit Papers

Image compression using the 2-D wavelet transform 1992 · 544 citations
5440+11+22Years since publication100200300400500

Peers

Greg Knowles
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 833
  • Signal Processing 307
  • Media Technology 173
  • Mathematical Physics 164
  • Applied Mathematics 164
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Countries citing papers authored by Greg Knowles

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 12 scholars most cited alongside Greg Knowles, 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 Greg Knowles Line = papers co-authored together Greg Knowles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Image compression using the 2-D wavelet transform
Hit paper breakdown →
1992544
2
Vector measures and control systems
1975179
3 1990142
4 1982112
5 1991109
6 199073
7 198457
8 198744
9 198430
10 199722
11 197822
12 198520
13 200819
14 198118
15 198613
16 198013
17 197612
18 200610
19 19799
20 19879

About Greg Knowles

Greg Knowles is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Computational Theory and Mathematics and Molecular Biology, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Advanced Data Compression Techniques (5 papers), Advanced Mathematical Modeling in Engineering (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Genomics and Phylogenetic Studies (4 papers), Building Energy and Comfort Optimization (4 papers), Advanced Image Fusion Techniques (4 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (833 citations), Signal Processing (307 citations), Media Technology (173 citations), Mathematical Physics (164 citations) and Applied Mathematics (164 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, Johnjoe McFadden, Trevor C. Hearn, Paul Gardner-Stephen, Charles V. Coffman, Andrew Zisserman and A. Blake. Their work appears in journals such as SIAM Journal on Control and Optimization, Solar Energy, Lecture notes in mathematics, Electronics Letters and Journal of Optimization Theory and Applications.

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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