Steve Maddock
Impact in
- General Dentistry top 2%
- Dental Research and COVID-19
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Face recognition and analysis 11
- Advanced Vision and Imaging 7
-
- Human Motion and Animation 12
- Co-authors
- Pedro Gamito (6 shared papers)Christopher Stokes (1 shared paper)James Field (1 shared paper)Nicolás Martín (1 shared paper)Jon Barker (5 shared papers)Ricard Marxer (2 shared papers)Michael P. Meredith (2 shared papers)Guy J. Brown (4 shared papers)
- Journals
- Speech Communication (2 papers)The Visual Computer (2 papers)Journal of Parallel and Distributed Computing (2 papers)Computer Graphics Forum (2 papers)Computers & Graphics (2 papers)
- Partner nations
- United KingdomChinaSaudi Arabia
In The Last Decade
Steve Maddock
60 papers receiving 509 citations
Peers
Comparison fields: 5 of 101
- General Dentistry 76
- Computer Graphics and Computer-Aided Design 85
- Computer Vision and Pattern Recognition 170
- Signal Processing 81
- 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 93 | |
| 2 | 2009 | 74 | |
| 3 | 2018 | 55 | |
| 4 | 2017 | 23 | |
| 5 | 2005 | 23 | |
| 6 | 2022 | 21 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2006 | 15 | |
| 10 | 2017 | 14 | |
| 11 | Implicit Surfaces: Appearance, Blending and Consistency | 1993 | 12 |
| 12 | 2006 | 12 | |
| 13 | 2003 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2008 | 8 | |
| 16 | 2010 | 8 | |
| 17 | 2006 | 8 | |
| 18 | 2013 | 8 | |
| 19 | 2016 | 6 | |
| 20 | 2005 | 6 |
About Steve Maddock
Steve Maddock is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 67 papers that have together received 543 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (12 papers), Human Motion and Animation (12 papers), Face recognition and analysis (11 papers), Speech and Audio Processing (9 papers), Computer Graphics and Visualization Techniques (9 papers), Advanced Vision and Imaging (7 papers), Evacuation and Crowd Dynamics (6 papers) and Hearing Loss and Rehabilitation (5 papers). The work is most often cited by research in General Dentistry (76 citations), Computer Graphics and Computer-Aided Design (85 citations), Computer Vision and Pattern Recognition (170 citations), Signal Processing (81 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 Pedro Gamito, Christopher Stokes, James Field, Nicolás Martín, Jon Barker, Ricard Marxer, Michael P. Meredith, Guy J. Brown, Mark Warburton and Daniela M. Romano. Their work appears in journals such as Speech Communication, The Visual Computer, Journal of Parallel and Distributed Computing, Computer Graphics Forum 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.