Jamie Ray
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Advanced Neural Network Applications
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 2
- Video Analysis and Summarization 1
- Surgery 1
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Lorenzo Torresani (2 shared papers)Du Tran (2 shared papers)Manohar Paluri (2 shared papers)Heng Wang (2 shared papers)Yann LeCun (1 shared paper)Rakesh Kochhar (1 shared paper)J. D. Wig (1 shared paper)Ganguly Nk (1 shared paper)
- Journals
- Pediatric Critical Care Medicine (1 paper)Journal of Clinical Gastroenterology (1 paper)Lecture notes in computer science (1 paper)Paediatrics & Child Health (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jamie Ray
5 papers receiving 2.3k citations
Jamie Ray's Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 1.9k
- Human-Computer Interaction 271
- Artificial Intelligence 1.0k
- Signal Processing 153
- Biomedical Engineering 474
Countries citing papers authored by Jamie Ray
This map shows the geographic impact of Jamie Ray'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 Jamie Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Ray more than expected).
Fields of papers citing papers by Jamie Ray
This network shows the impact of papers produced by Jamie Ray. 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 Jamie Ray. The network helps show where Jamie Ray may publish in the future.
Co-authors
The 14 scholars most cited alongside Jamie Ray, 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 | A Closer Look at Spatiotemporal Convolutions for Action Recognition Hit paper breakdown → | 2018 | 2322 |
| 2 | 1998 | 26 | |
| 3 | 2018 | 13 | |
| 4 | 2017 | 9 | |
| 5 | 2013 | 3 |
About Jamie Ray
Jamie Ray is a scholar working on Computer Vision and Pattern Recognition, Surgery, Pulmonary and Respiratory Medicine, Artificial Intelligence and Hematology, having authored 5 papers that have together received 2.4k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Anomaly Detection Techniques and Applications (1 paper), Video Analysis and Summarization (1 paper), Hemophilia Treatment and Research (1 paper), Gait Recognition and Analysis (1 paper), Pancreatitis Pathology and Treatment (1 paper), Abdominal Surgery and Complications (1 paper) and Appendicitis Diagnosis and Management (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Human-Computer Interaction (271 citations), Artificial Intelligence (1.0k citations), Signal Processing (153 citations) and Biomedical Engineering (474 citations). Jamie Ray has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lorenzo Torresani, Du Tran, Manohar Paluri, Heng Wang, Yann LeCun, Rakesh Kochhar, J. D. Wig, Ganguly Nk, Paul Moorehead and Kusum Menon. Their work appears in journals such as Pediatric Critical Care Medicine, Journal of Clinical Gastroenterology, Lecture notes in computer science and Paediatrics & Child Health.
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.