Steve Maddock
Impact in
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- Computer Graphics and Visualization Techniques
- General Dentistry top 10%
Papers in
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- Computer Graphics and Visualization Techniques 18
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- Face recognition and analysis 6
- Co-authors
- James Clark Field (1 shared paper)Christopher W. Stokes (1 shared paper)Nicolás Martín (1 shared paper)Jon Barker (5 shared papers)Paul Richmond (10 shared papers)Ricard Marxer (2 shared papers)Michael P. Meredith (2 shared papers)Guy J. Brown (4 shared papers)
- Journals
- Computer Graphics Forum (2 papers)Speech Communication (2 papers)Journal of Parallel and Distributed Computing (2 papers)The Visual Computer (2 papers)Computers & Graphics (2 papers)
- Partner nations
- United KingdomChinaSaudi Arabia
In The Last Decade
Steve Maddock
69 papers receiving 654 citations
Peers
Comparison fields: 5 of 88
- Computer Graphics and Computer-Aided Design 130
- General Dentistry 7
- Signal Processing 68
- Computer Vision and Pattern Recognition 137
- Human-Computer Interaction 40
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 | 2019 | 107 | |
| 2 | 2009 | 78 | |
| 3 | 2018 | 68 | |
| 4 | 2022 | 28 | |
| 5 | 2005 | 27 | |
| 6 | 2017 | 24 | |
| 7 | 2006 | 21 | |
| 8 | 2018 | 19 | |
| 9 | 2020 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2015 | 14 | |
| 12 | 2006 | 13 | |
| 13 | Implicit Surfaces: Appearance, Blending and Consistency | 1993 | 12 |
| 14 | 2008 | 12 | |
| 15 | 2003 | 11 | |
| 16 | 2013 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2006 | 8 | |
| 20 | 2009 | 8 |
About Steve Maddock
Steve Maddock is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing and Hardware and Architecture, having authored 74 papers that have together received 690 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (18 papers), Human Motion and Animation (10 papers), Speech and Audio Processing (9 papers), 3D Shape Modeling and Analysis (6 papers), Face recognition and analysis (6 papers), Phonetics and Phonology Research (5 papers), Evacuation and Crowd Dynamics (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (130 citations), General Dentistry (7 citations), Signal Processing (68 citations), Computer Vision and Pattern Recognition (137 citations) and Human-Computer Interaction (40 citations). Steve Maddock has collaborated with scholars based in United Kingdom, China and Saudi Arabia. Frequent co-authors include James Clark Field, Christopher W. Stokes, Nicolás Martín, Jon Barker, Paul Richmond, Ricard Marxer, Michael P. Meredith, Guy J. Brown, Daniela Maria Romano and Wuyang Shui. Their work appears in journals such as Computer Graphics Forum, Speech Communication, Journal of Parallel and Distributed Computing, The Visual Computer and Computers & Graphics.
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.