Ben Daubney

845 citations
12 papers · 535 indexed · h-index 7

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Advanced Vision and Imaging
    • Human Pose and Action Recognition
    • Face and Expression Recognition
    • Image Retrieval and Classification Techniques
    • Video Analysis and Summarization

Papers in

Ben Daubney

12 papers receiving 512 citations

Peers

Ben Daubney
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 434
  • Human-Computer Interaction 43
  • Media Technology 64
  • Geology 25
  • Signal Processing 39
Replace Yixin Chen with:
Yixin Chen China
José M. Buenaposada Spain
Shuai Zheng United Kingdom
Masahiko Yachida Japan
Osamu Hori Japan
Sharon Alpert Israel
Yunyang Xiong United States
Vishvjit S. Nalwa United States
Xukun Shen China
Ben Daubney relative to Yixin Chen China Yixin Chen's profile →
Citations per field
00.5×
Yixin Chen · 1×
Citations per year

Countries citing papers authored by Ben Daubney

Since Specialization
Citations

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

Fields of papers citing papers by Ben Daubney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Ben Daubney, 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 Ben Daubney Line = papers co-authored together Ben Daubney links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20138
2 201240
3 20112
4 20115
5 201118
6 201115
7 20101
8 20096
9 20088
10 20083
11
International Conference on Computer Vision Theory and Applications
2008120
12
IEEE International Conference on Computer Vision and Pattern Recognition
2008309

About Ben Daubney

Ben Daubney is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Artificial Intelligence and Infectious Diseases, having authored 12 papers that have together received 535 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Advanced Vision and Imaging (5 papers), Video Surveillance and Tracking Methods (5 papers), Gait Recognition and Analysis (4 papers), Advanced Image and Video Retrieval Techniques (2 papers), Video Analysis and Summarization (2 papers), Multimodal Machine Learning Applications (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (434 citations), Human-Computer Interaction (43 citations), Media Technology (64 citations), Geology (25 citations) and Signal Processing (39 citations). Ben Daubney has collaborated with scholars based in United Kingdom, Germany and Brazil. Frequent co-authors include Neill Campbell, David Gibson, Xianghua Xie, Rita Borgo, Benjamin Höferlin, Markus Höferlin, Gunther Heidemann, Daniel Weiskopf, Mitchell Chen and Heike Leitte. Their work appears in journals such as Graphical Models, Computer Graphics Forum, Computer Vision and Image Understanding, Eurographics and Cronfa (Swansea University).

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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