Ryan Layne

677 citations
4 papers · 296 · h-index 4

Impact in

Papers in

    • Video Surveillance and Tracking Methods 4
    • Human Pose and Action Recognition 3
    • Advanced Image and Video Retrieval Techniques 1
    • Advanced Vision and Imaging 1
    • Wildlife Ecology and Conservation 1
Journals
Edinburgh Research Explorer (University of Edinburgh) (1 paper)Queen Mary Research Online (Queen Mary University of London) (1 paper)
Partner nations
United Kingdom

In The Last Decade

Ryan Layne

4 papers receiving 293 citations

Peers

Ryan Layne
Comparison fields: 5 of 28
  • Computer Vision and Pattern Recognition 294
  • Biomedical Engineering 100
  • Safety, Risk, Reliability and Quality 17
  • Artificial Intelligence 46
  • Signal Processing 12
Replace Tim Hospedales with:
Tim Hospedales United Kingdom
Etienne Corvée France
Emrah Başaran Türkiye
Igor Kviatkovsky Israel
Zimo Liu China
Alexis Mignon France
Taiqing Wang China
Amran Bhuiyan Canada
Igor Barros Barbosa Norway
Ryan Layne relative to Tim Hospedales United Kingdom Tim Hospedales's profile →
Citations per field
00.5×1.5×
Tim Hospedales · 1×
Citations per year

Countries citing papers authored by Ryan Layne

Since Specialization
Citations

This map shows the geographic impact of Ryan Layne'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 Ryan Layne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Layne more than expected).

Fields of papers citing papers by Ryan Layne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Layne. 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 Ryan Layne. The network helps show where Ryan Layne may publish in the future.

Co-authors

The 8 scholars most cited alongside Ryan Layne, 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 Ryan Layne Line = papers co-authored together Ryan Layne links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Ryan Layne

Ryan Layne is a scholar working on Computer Vision and Pattern Recognition, Ecology, Artificial Intelligence, Geography, Planning and Development and Infectious Diseases, having authored 4 papers that have together received 296 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Human Pose and Action Recognition (3 papers), Geographies of human-animal interactions (1 paper), Wildlife Ecology and Conservation (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Advanced Vision and Imaging (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (294 citations), Biomedical Engineering (100 citations), Safety, Risk, Reliability and Quality (17 citations), Artificial Intelligence (46 citations) and Signal Processing (12 citations). Ryan Layne has collaborated with scholars based in United Kingdom. Frequent co-authors include Shaogang Gong, Tim Hospedales, Timothy M. Hospedales, Dima Damen, Tao Xiang, Massimo Camplani, Majid Mirmehdi and Sion Hannuna. Their work appears in journals such as Edinburgh Research Explorer (University of Edinburgh) and Queen Mary Research Online (Queen Mary University of London).

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.

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