Jamie Ray

4.1k citations
6 papers · 2.1k · 1 hit paper · h-index 5

Impact in

Papers in

Jamie Ray

6 papers receiving 2.0k citations

Jamie Ray's Hit Papers

A Closer Look at Spatiotemporal Convolutions for Action Recognition 2018 · 2.0k citations
2.0k0+2+5Years since publication50010001.5k2.0k

Peers

Jamie Ray
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 1.6k
  • Human-Computer Interaction 248
  • Artificial Intelligence 879
  • Signal Processing 134
  • Biomedical Engineering 435
Replace Yutaka Satoh with:
Yutaka Satoh Japan
Hirokatsu Kataoka Japan
Kensho Hara Japan
Manohar Paluri United States
Zhaofan Qiu China
Efstratios Gavves Netherlands
Joe Yue-Hei Ng United States
Basura Fernando Australia
Du Tran United States
Dima Damen United Kingdom
Jamie Ray relative to Yutaka Satoh Japan Yutaka Satoh's profile →
Citations per field
00.5×1.5×
Yutaka Satoh · 1×
Citations per year

Countries citing papers authored by Jamie Ray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 15 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.

Border = papers with Jamie Ray Line = papers co-authored together Jamie Ray links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Jamie Ray

Jamie Ray is a scholar working on Emergency Medicine, Surgery, Small Animals, Neurology and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (1 paper), Tendon Structure and Treatment (1 paper), Pancreatitis Pathology and Treatment (1 paper), Emergency and Acute Care Studies (1 paper), Cerebral Palsy and Movement Disorders (1 paper), Botulinum Toxin and Related Neurological Disorders (1 paper), Heart Failure Treatment and Management (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Human-Computer Interaction (248 citations), Artificial Intelligence (879 citations), Signal Processing (134 citations) and Biomedical Engineering (435 citations). Jamie Ray has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Du Tran, Heng Wang, Manohar Paluri, Lorenzo Torresani, Yann LeCun, Rakesh Kochhar, Ganguly Nk, J. D. Wig, Marc H. Ratzlaff and Barrie D. Grant. Their work appears in journals such as Journal of Clinical Gastroenterology, American Journal of Veterinary Research, Pediatric Critical Care Medicine, Paediatrics & Child Health and International Journal of Orofacial Myology.

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.

Explore authors with similar magnitude of impact