Boon Low
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Human-Computer Interaction top 5%
Papers in
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- Web and Library Services 1
- Digital Rights Management and Security 1
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- Face and Expression Recognition 2
- Face recognition and analysis 2
- Co-authors
- Erik Hjelmås (1 shared paper)Thomas Lansdall-Welfare (1 shared paper)James Thompson (1 shared paper)M.K. Ibrahim (1 shared paper)Saatviga Sudhahar (1 shared paper)Nello Cristianini (1 shared paper)A. James Gregor (1 shared paper)Justin Lewis (1 shared paper)
- Journals
- Automation in Construction (1 paper)Library Hi Tech (1 paper)Proceedings of the National Academy of Sciences (1 paper)Computer Vision and Image Understanding (1 paper)IEEE Distributed Systems Online (1 paper)
- Partner nations
- United KingdomNorwayIreland
In The Last Decade
Boon Low
9 papers receiving 893 citations
Boon Low's Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 709
- Human-Computer Interaction 67
- Signal Processing 115
- Media Technology 72
- Information Systems and Management 47
Countries citing papers authored by Boon Low
This map shows the geographic impact of Boon Low'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 Boon Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boon Low more than expected).
Fields of papers citing papers by Boon Low
This network shows the impact of papers produced by Boon Low. 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 Boon Low. The network helps show where Boon Low may publish in the future.
Co-authors
The 12 scholars most cited alongside Boon Low, 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 | Face Detection: A Survey Hit paper breakdown → | 2001 | 763 |
| 2 | 2011 | 93 | |
| 3 | 2017 | 70 | |
| 4 | 2002 | 12 | |
| 5 | Usability Inspection of Digital Libraries | 2010 | 8 |
| 6 | 2008 | 3 | |
| 7 | 2001 | 2 | |
| 8 | 2002 | 1 | |
| 9 | Resource Discovery Services for Grid Computing Training | 2007 | 1 |
About Boon Low
Boon Low is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications and Computer Networks and Communications, having authored 9 papers that have together received 953 indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), Face recognition and analysis (2 papers), Open Education and E-Learning (2 papers), Interactive and Immersive Displays (1 paper), Computational and Text Analysis Methods (1 paper), Web and Library Services (1 paper), Digital Rights Management and Security (1 paper) and Impact of Technology on Adolescents (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (709 citations), Human-Computer Interaction (67 citations), Signal Processing (115 citations), Media Technology (72 citations) and Information Systems and Management (47 citations). Boon Low has collaborated with scholars based in United Kingdom, Norway and Ireland. Frequent co-authors include Erik Hjelmås, Thomas Lansdall-Welfare, James Thompson, M.K. Ibrahim, Saatviga Sudhahar, Nello Cristianini, A. James Gregor, Justin Lewis, Brian Sloan and Malcolm Atkinson. Their work appears in journals such as Automation in Construction, Library Hi Tech, Proceedings of the National Academy of Sciences, Computer Vision and Image Understanding and IEEE Distributed Systems Online.
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.