Adrian Grange
Impact in
- Signal Processing top 2%
- Video Coding and Compression Technologies
- Digital Filter Design and Implementation
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- Advanced Data Compression Techniques
- Image and Video Quality Assessment
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
Papers in
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- Video Coding and Compression Technologies 6
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- Image and Video Quality Assessment 6
- Advanced Vision and Imaging 5
- Advanced Data Compression Techniques 2
- Image and Signal Denoising Methods 1
- Co-authors
- Debargha MukherjeeYaowu XuJingning HanJim BankoskiPaul WilkinRonald S. BultjeH. AlvestrandXin Zhao
- Journals
- SMPTE Motion Imaging Journal (2 papers)APSIPA Transactions on Signal and Information Processing (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United States
In The Last Decade
Adrian Grange
11 papers receiving 329 citations
Peers
Comparison fields: 5 of 29
- Signal Processing 259
- Computer Vision and Pattern Recognition 322
- Media Technology 25
- Computational Mathematics 1
- Computer Graphics and Computer-Aided Design 5
Countries citing papers authored by Adrian Grange
This map shows the geographic impact of Adrian Grange'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 Adrian Grange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Grange more than expected).
Fields of papers citing papers by Adrian Grange
This network shows the impact of papers produced by Adrian Grange. 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 Adrian Grange. The network helps show where Adrian Grange may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Adrian Grange, 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 | 2022 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 13 | |
| 4 | 2019 | 4 | |
| 5 | 2017 | 1 | |
| 6 | 2015 | 90 | |
| 7 | 2013 | 32 | |
| 8 | VP8 as RTCWEB Mandatory to Implement | 2013 | 1 |
| 9 | A VP9 Bitstream Overview | 2013 | 8 |
| 10 | 2013 | 156 | |
| 11 | 2013 | 39 |
About Adrian Grange
Adrian Grange is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Software, Hardware and Architecture and Media Technology, having authored 11 papers that have together received 346 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (6 papers), Video Coding and Compression Technologies (6 papers), Advanced Vision and Imaging (5 papers), Peer-to-Peer Network Technologies (2 papers), Advanced Data Compression Techniques (2 papers), Multimedia Communication and Technology (1 paper), Image and Signal Denoising Methods (1 paper) and Smart Grid Security and Resilience (1 paper). The work is most often cited by research in Signal Processing (259 citations), Computer Vision and Pattern Recognition (322 citations), Media Technology (25 citations), Computational Mathematics (1 citation) and Computer Graphics and Computer-Aided Design (5 citations). Adrian Grange has collaborated with scholars based in United States. Frequent co-authors include Debargha Mukherjee, Yaowu Xu, Jingning Han, Jim Bankoski, Paul Wilkin, Ronald S. Bultje, H. Alvestrand, Xin Zhao, Shan Liu and Urvang Joshi. Their work appears in journals such as SMPTE Motion Imaging Journal, APSIPA Transactions on Signal and Information Processing and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.