Matthew Flagg
Impact in
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Augmented Reality Applications
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
Papers in
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- Augmented Reality Applications 5
- Advanced Vision and Imaging 3
- Video Analysis and Summarization 2
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- Interactive and Immersive Displays 6
- Co-authors
- James M. Rehg (11 shared papers)David Tsai (2 shared papers)Atsushi Nakazawa (1 shared paper)Rahul Sukthankar (3 shared papers)Jay Summet (3 shared papers)Tat‐Jen Cham (2 shared papers)Irfan Essa (1 shared paper)Sing Bing Kang (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)CBE—Life Sciences Education (1 paper)International Journal of Computer Vision (1 paper)SMARTech Repository (Georgia Institute of Technology) (1 paper)JAMA Health Forum (1 paper)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Matthew Flagg
12 papers receiving 452 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 429
- Human-Computer Interaction 103
- Computer Graphics and Computer-Aided Design 37
- Media Technology 41
- Sensory Systems 15
Countries citing papers authored by Matthew Flagg
This map shows the geographic impact of Matthew Flagg'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 Matthew Flagg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Flagg more than expected).
Fields of papers citing papers by Matthew Flagg
This network shows the impact of papers produced by Matthew Flagg. 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 Matthew Flagg. The network helps show where Matthew Flagg may publish in the future.
Co-authors
The 23 scholars most cited alongside Matthew Flagg, 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 | 2011 | 152 | |
| 2 | 2010 | 126 | |
| 3 | 2006 | 69 | |
| 4 | 2004 | 44 | |
| 5 | 2009 | 28 | |
| 6 | 2012 | 16 | |
| 7 | 2004 | 13 | |
| 8 | 2007 | 10 | |
| 9 | 2006 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2006 | 2 | |
| 12 | Oil Painting Assistance Using Projected Light: Bridging the Gap Between Digital and Physical Art | 2005 | 1 |
| 13 | 2024 | 0 |
About Matthew Flagg
Matthew Flagg is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Media Technology, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 13 papers that have together received 475 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (6 papers), Augmented Reality Applications (5 papers), Advanced Optical Imaging Technologies (4 papers), Advanced Vision and Imaging (3 papers), Human Motion and Animation (2 papers), Video Analysis and Summarization (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (429 citations), Human-Computer Interaction (103 citations), Computer Graphics and Computer-Aided Design (37 citations), Media Technology (41 citations) and Sensory Systems (15 citations). Matthew Flagg has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include James M. Rehg, David Tsai, Atsushi Nakazawa, Rahul Sukthankar, Jay Summet, Tat‐Jen Cham, Irfan Essa, Atsushi Nakazawa, Sing Bing Kang and Qiushuang Zhang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, CBE—Life Sciences Education, International Journal of Computer Vision, SMARTech Repository (Georgia Institute of Technology) and JAMA Health Forum.
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.