K.M. Uz
- Signal Processing top 5%
- Video Coding and Compression Technologies 10
- Digital Filter Design and Implementation 2
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- Advanced Data Compression Techniques 11
- Image and Signal Denoising Methods 3
- Advanced Vision and Imaging 2
- Image and Video Quality Assessment 2
- Media Technology top 10%
- Telecommunications and Broadcasting Technologies 2
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- Advanced Wireless Communication Techniques 1
- Co-authors
- Martin VetterliKannan RamchandranAntonio OrtegaDidier J. LeGallJ.M. ShapiroFure-Ching JengJohn W. WoodsT. Naveen
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)Multidimensional Systems and Signal Processing (1 paper)
- Partner nations
- United States
In The Last Decade
K.M. Uz
13 papers receiving 403 citations
Peers
Comparison fields: 5 of 29
- Signal Processing 204
- Computer Vision and Pattern Recognition 267
- Computer Networks and Communications 139
- Media Technology 43
- Electrical and Electronic Engineering 189
Countries citing papers authored by K.M. Uz
This map shows the geographic impact of K.M. Uz'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 K.M. Uz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.M. Uz more than expected).
Fields of papers citing papers by K.M. Uz
This network shows the impact of papers produced by K.M. Uz. 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 K.M. Uz. The network helps show where K.M. Uz may publish in the future.
Co-authorship network
The 8 scholars most cited alongside K.M. Uz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 6 | |
| 2 | 2002 | 4 | |
| 3 | 1994 | 3 | |
| 4 | 1993 | 23 | |
| 5 | 1993 | 221 | |
| 6 | 1992 | 3 | |
| 7 | 1992 | 2 | |
| 8 | 1992 | 25 | |
| 9 | Multiresolution motion estimation | 1991 | 3 |
| 10 | Multiresolution source and channel coding for digital broadcast of HDTV | 1991 | 11 |
| 11 | 1991 | 122 | |
| 12 | Multiresolution techniques with application to HDTV | 1990 | 1 |
| 13 | 1990 | 18 |
About K.M. Uz
K.M. Uz is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 13 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (11 papers), Video Coding and Compression Technologies (10 papers), Image and Signal Denoising Methods (3 papers), Digital Filter Design and Implementation (2 papers), Advanced Vision and Imaging (2 papers), Image and Video Quality Assessment (2 papers), Telecommunications and Broadcasting Technologies (2 papers) and Advanced Wireless Communication Techniques (1 paper). The work is most often cited by research in Signal Processing (204 citations), Computer Vision and Pattern Recognition (267 citations) and Computer Networks and Communications (139 citations). K.M. Uz has collaborated with scholars based in United States. Frequent co-authors include Martin Vetterli, Kannan Ramchandran, Antonio Ortega, Didier J. LeGall, J.M. Shapiro, Fure-Ching Jeng, John W. Woods and T. Naveen. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Journal on Selected Areas in Communications, Multidimensional Systems and Signal Processing, Signal Processing and IEEE Communications Magazine.
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.