Sam Hare
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
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- Fire Detection and Safety Systems
Papers in
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- Image Enhancement Techniques 2
- Video Surveillance and Tracking Methods 2
- Visual Attention and Saliency Detection 1
- Advanced Vision and Imaging 1
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
- Co-authors
- Amir Saffari (2 shared papers)Philip H. S. Torr (2 shared papers)Stephen L. Hicks (1 shared paper)Stuart Golodetz (1 shared paper)Vibhav Vineet (1 shared paper)Ming‐Ming Cheng (1 shared paper)Rama Vancheeswaran (1 shared paper)Andrew Creamer (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Sam Hare
2 papers receiving 1.9k citations
Sam Hare's Hit Papers
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 1.9k
- Safety, Risk, Reliability and Quality 297
- Aerospace Engineering 483
- Media Technology 63
- Global and Planetary Change 135
Countries citing papers authored by Sam Hare
This map shows the geographic impact of Sam Hare'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 Sam Hare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Hare more than expected).
Fields of papers citing papers by Sam Hare
This network shows the impact of papers produced by Sam Hare. 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 Sam Hare. The network helps show where Sam Hare may publish in the future.
Co-authors
The 8 scholars most cited alongside Sam Hare, 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 | Struck: Structured output tracking with kernels Hit paper breakdown → | 2011 | 1264 |
| 2 | Struck: Structured Output Tracking with Kernels Hit paper breakdown → | 2015 | 721 |
| 3 | 2016 | 0 |
About Sam Hare
Sam Hare is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Epidemiology, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 2.0k indexed citations. Recurring topics across this work include Image Enhancement Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Pneumonia and Respiratory Infections (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Visual Attention and Saliency Detection (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Safety, Risk, Reliability and Quality (297 citations), Aerospace Engineering (483 citations), Media Technology (63 citations) and Global and Planetary Change (135 citations). Sam Hare has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Amir Saffari, Philip H. S. Torr, Stephen L. Hicks, Stuart Golodetz, Vibhav Vineet, Ming‐Ming Cheng, Rama Vancheeswaran and Andrew Creamer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Oxford University Research Archive (ORA) (University of Oxford).
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.