David Suter
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Image and Object Detection Techniques
- Geology top 1%
Papers in
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- Advanced Vision and Imaging 70
- Advanced Image and Video Retrieval Techniques 37
- Video Surveillance and Tracking Methods 36
- Image and Object Detection Techniques 30
- Human Pose and Action Recognition 16
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- Image Processing Techniques and Applications 18
- Co-authors
- Tat-Jun ChinHanzi WangLiang WangJulio H. ZaragozaChunhua ShenAlireza Bab‐HadiasharBa‐Ngu VoBa-Tuong Vo
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (17 papers)Australasian Journal of Paramedicine (10 papers)Pattern Recognition (9 papers)International Journal of Computer Vision (8 papers)Computer Vision and Image Understanding (6 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
David Suter
195 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 3.9k
- Geology 347
- Aerospace Engineering 1.5k
- Media Technology 369
- Artificial Intelligence 1.3k
Countries citing papers authored by David Suter
This map shows the geographic impact of David Suter'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 David Suter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Suter more than expected).
Fields of papers citing papers by David Suter
This network shows the impact of papers produced by David Suter. 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 David Suter. The network helps show where David Suter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Suter, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 10 | |
| 5 | 2020 | 5 | |
| 6 | Non-smooth M-estimator for maximum consensus estimation | 2018 | 3 |
| 7 | 2013 | 123 | |
| 8 | 2013 | 13 | |
| 9 | The use of genetic algorithms to identify traffic conditions to optimise arterial performance | 2012 | 1 |
| 10 | Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC | 2011 | 12 |
| 11 | 2011 | 88 | |
| 12 | Bayesian multi-object estimation from image observations | 2009 | 10 |
| 13 | The Ordered Residual Kernel for Robust Motion Subspace Clustering | 2009 | 23 |
| 14 | 2007 | 1 | |
| 15 | 2007 | 15 | |
| 16 | 2006 | 51 | |
| 17 | Methods of digital image processing to quantify ground cover of turf grass. | 2004 | 2 |
| 18 | 2004 | 104 | |
| 19 | 2000 | 5 | |
| 20 | Visual Feature Tracking with Automatic Motion Model Switching. | 1998 | 1 |
About David Suter
David Suter is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Geology and Computer Graphics and Computer-Aided Design, having authored 205 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (70 papers), Robotics and Sensor-Based Localization (40 papers), Advanced Image and Video Retrieval Techniques (37 papers), Video Surveillance and Tracking Methods (36 papers), Image and Object Detection Techniques (30 papers), Image Processing Techniques and Applications (18 papers), Human Pose and Action Recognition (16 papers) and Anomaly Detection Techniques and Applications (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Geology (347 citations), Aerospace Engineering (1.5k citations), Media Technology (369 citations) and Artificial Intelligence (1.3k citations). David Suter has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Tat-Jun Chin, Hanzi Wang, Liang Wang, Julio H. Zaragoza, Chunhua Shen, Alireza Bab‐Hadiashar, Ba‐Ngu Vo, Ba-Tuong Vo, Konrad Schindler and Anton van den Hengel. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Australasian Journal of Paramedicine, Pattern Recognition, International Journal of Computer Vision and Computer Vision and Image Understanding.
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.