Steve Maddock
Impact in
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- Computer Graphics and Visualization Techniques
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- Face recognition and analysis
- Advanced Vision and Imaging
Papers in
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- Face recognition and analysis 12
- Advanced Vision and Imaging 7
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- Human Motion and Animation 13
- Co-authors
- Jon Barker (5 shared papers)Paul Richmond (11 shared papers)Ricard Marxer (2 shared papers)Michael P. Meredith (2 shared papers)Guy J. Brown (4 shared papers)Daniela M. Romano (3 shared papers)Mark Warburton (4 shared papers)Wuyang Shui (4 shared papers)
- Journals
- Computers & Graphics (2 papers)Speech Communication (2 papers)The Visual Computer (2 papers)Journal of Parallel and Distributed Computing (2 papers)Computer Graphics Forum (2 papers)
- Partner nations
- United KingdomChinaSaudi Arabia
In The Last Decade
Steve Maddock
70 papers receiving 526 citations
Peers
Comparison fields: 5 of 101
- Computer Graphics and Computer-Aided Design 89
- Computer Vision and Pattern Recognition 206
- Signal Processing 90
- Human-Computer Interaction 39
- Computational Mechanics 110
Countries citing papers authored by Steve Maddock
This map shows the geographic impact of Steve Maddock'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 Steve Maddock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Maddock more than expected).
Fields of papers citing papers by Steve Maddock
This network shows the impact of papers produced by Steve Maddock. 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 Steve Maddock. The network helps show where Steve Maddock may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Maddock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 75 | |
| 2 | 2018 | 65 | |
| 3 | 2005 | 29 | |
| 4 | 2022 | 25 | |
| 5 | 2017 | 24 | |
| 6 | 2006 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2018 | 17 | |
| 9 | 2017 | 16 | |
| 10 | 2015 | 14 | |
| 11 | 2006 | 13 | |
| 12 | 2008 | 12 | |
| 13 | Implicit Surfaces: Appearance, Blending and Consistency | 1993 | 12 |
| 14 | 2013 | 11 | |
| 15 | 2003 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2010 | 8 | |
| 20 | 2006 | 8 |
About Steve Maddock
Steve Maddock is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing, Computational Mechanics and Ocean Engineering, having authored 74 papers that have together received 560 indexed citations. Recurring topics across this work include Human Motion and Animation (13 papers), Face recognition and analysis (12 papers), 3D Shape Modeling and Analysis (12 papers), Speech and Audio Processing (10 papers), Evacuation and Crowd Dynamics (9 papers), Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (7 papers) and Hearing Loss and Rehabilitation (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (89 citations), Computer Vision and Pattern Recognition (206 citations), Signal Processing (90 citations), Human-Computer Interaction (39 citations) and Computational Mechanics (110 citations). Steve Maddock has collaborated with scholars based in United Kingdom, China and Saudi Arabia. Frequent co-authors include Jon Barker, Paul Richmond, Ricard Marxer, Michael P. Meredith, Guy J. Brown, Daniela M. Romano, Mark Warburton, Wuyang Shui, Mingquan Zhou and Qingqiong Deng. Their work appears in journals such as Computers & Graphics, Speech Communication, The Visual Computer, Journal of Parallel and Distributed Computing and Computer Graphics Forum.
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.