Ben Benfold
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in ⓘ
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- Video Surveillance and Tracking Methods 5
- Advanced Image and Video Retrieval Techniques 3
- Face recognition and analysis 2
- Advanced Vision and Imaging 2
- Face and Expression Recognition 1
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Ian Reid (7 shared papers)Nicola Bellotto (2 shared papers)Eric Sommerlade (3 shared papers)Daniel Roth (1 shared paper)Jordi Gonzàlez (1 shared paper)Carles Fernández–Prades (1 shared paper)Luc Van Gool (1 shared paper)Hans-Hellmut Nagel (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)Adelaide Research & Scholarship (AR&S) (University of Adelaide) (6 papers)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Ben Benfold
8 papers receiving 611 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 564
- Artificial Intelligence 215
- Human-Computer Interaction 31
- Computational Mathematics 3
- Automotive Engineering 53
Countries citing papers authored by Ben Benfold
This map shows the geographic impact of Ben Benfold'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 Ben Benfold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Benfold more than expected).
Fields of papers citing papers by Ben Benfold
This network shows the impact of papers produced by Ben Benfold. 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 Ben Benfold. The network helps show where Ben Benfold may publish in the future.
Co-authors
The 9 scholars most cited alongside Ben Benfold, 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 | Stable multi-target tracking in real-time surveillance video Hit paper breakdown → | 2011 | 433 |
| 2 | 2009 | 69 | |
| 3 | 2011 | 43 | |
| 4 | 2008 | 36 | |
| 5 | 2009 | 33 | |
| 6 | 2011 | 16 | |
| 7 | 2016 | 6 | |
| 8 | 2011 | 2 |
About Ben Benfold
Ben Benfold is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Electrical and Electronic Engineering and Aerospace Engineering, having authored 8 papers that have together received 638 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Gaze Tracking and Assistive Technology (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Face recognition and analysis (2 papers), Advanced Vision and Imaging (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (564 citations), Artificial Intelligence (215 citations), Human-Computer Interaction (31 citations), Computational Mathematics (3 citations) and Automotive Engineering (53 citations). Ben Benfold has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Ian Reid, Nicola Bellotto, Eric Sommerlade, Daniel Roth, Jordi Gonzàlez, Carles Fernández–Prades, Luc Van Gool, Hans-Hellmut Nagel and Paul Thomas. Their work appears in journals such as Computer Vision and Image Understanding and Adelaide Research & Scholarship (AR&S) (University of Adelaide).
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.