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
- Face and Expression Recognition
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Video Surveillance and Tracking Methods 6
- Advanced Image and Video Retrieval Techniques 4
- Face recognition and analysis 2
- Advanced Vision and Imaging 2
- Face and Expression Recognition 2
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Ian Reid (8 shared papers)Eric Sommerlade (4 shared papers)Nicola Bellotto (2 shared papers)Jordi Gonzàlez (1 shared paper)Carles Fernández–Prades (1 shared paper)Luc Van Gool (1 shared paper)Daniel Roth (1 shared paper)Hans-Hellmut Nagel (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)Lecture notes in computer science (1 paper)Lincoln Repository (University of Lincoln) (1 paper)Adelaide Research & Scholarship (AR&S) (University of Adelaide) (5 papers)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Ben Benfold
9 papers receiving 713 citations
Ben Benfold's Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 661
- Artificial Intelligence 244
- Human-Computer Interaction 40
- Computational Mathematics 3
- Safety, Risk, Reliability and Quality 44
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 | 491 |
| 2 | 2009 | 83 | |
| 3 | 2011 | 52 | |
| 4 | 2008 | 43 | |
| 5 | 2009 | 38 | |
| 6 | 2011 | 21 | |
| 7 | 2011 | 9 | |
| 8 | 2016 | 6 | |
| 9 | 2011 | 3 |
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 9 papers that have together received 746 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Anomaly Detection Techniques and Applications (2 papers), Face recognition and analysis (2 papers), Advanced Vision and Imaging (2 papers), Gaze Tracking and Assistive Technology (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (661 citations), Artificial Intelligence (244 citations), Human-Computer Interaction (40 citations), Computational Mathematics (3 citations) and Safety, Risk, Reliability and Quality (44 citations). Ben Benfold has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Ian Reid, Eric Sommerlade, Nicola Bellotto, Jordi Gonzàlez, Carles Fernández–Prades, Luc Van Gool, Daniel Roth, Hans-Hellmut Nagel and Paul Thomas. Their work appears in journals such as Computer Vision and Image Understanding, Lecture notes in computer science, Lincoln Repository (University of Lincoln) 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.