Tim Ellis

4.5k citations
133 papers · 2.8k indexed · h-index 28

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Video Analysis and Summarization
    • Advanced Neural Network Applications

Papers in

Tim Ellis

129 papers receiving 2.6k citations

Peers

Tim Ellis
Comparison fields: 5 of 161
  • Computer Vision and Pattern Recognition 1.9k
  • Media Technology 222
  • Artificial Intelligence 621
  • Signal Processing 173
  • Human-Computer Interaction 69
Replace Hironobu Fujiyoshi with:
Hironobu Fujiyoshi Japan
Chao Gou China
Yan Yan China
Shaoyi Du China
Pedro P. Rebouças Filho Brazil
Jürgen Beyerer Germany
Yaowei Wang China
Shiyin Qin China
Xin Yang China
Jacob Scharcanski Brazil
Tim Ellis relative to Hironobu Fujiyoshi Japan Hironobu Fujiyoshi's profile →
Citations per field
00.5×1.5×
Hironobu Fujiyoshi · 1×
Citations per year

Countries citing papers authored by Tim Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Tim Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tim Ellis, 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 Tim Ellis Line = papers co-authored together Tim Ellis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 202134
3 201121
4
3D Pulmonary Embolism (PE) Segmentation of CTA images Using Level Sets.
20102
5 20105
6 20101
7 200882
8 20084
9 200719
10 200727
11 20068
12 20066
13 200544
14 200427
15
Tracking occluded objects using partial observation
20034
16 200213
17 200249
18
Real time inspection of masonry units
19922
19 199117
20 19911

About Tim Ellis

Tim Ellis is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence, having authored 133 papers that have together received 2.8k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (41 papers), Advanced Vision and Imaging (23 papers), Advanced Image and Video Retrieval Techniques (16 papers), Image and Object Detection Techniques (12 papers), Online and Blended Learning (11 papers), Anomaly Detection Techniques and Applications (11 papers), Medical Image Segmentation Techniques (10 papers) and Innovative Teaching and Learning Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Media Technology (222 citations), Artificial Intelligence (621 citations), Signal Processing (173 citations) and Human-Computer Interaction (69 citations). Tim Ellis has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include Dimitrios Makris, Zezhi Chen, J. Black, Paul L. Rosin, Sergio A. Velastín, J. H. Black, Paolo Remagnino, Sarah Barman, Ming Xu and Gian Luca Foresti. Their work appears in journals such as Image and Vision Computing, Journal of Energy Storage, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Fuzzy Systems and Ophthalmology.

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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