Hilary Buxton

1.9k citations
68 papers · 1.2k indexed · h-index 19

Hilary Buxton

65 papers receiving 1.1k citations

Peers

Hilary Buxton
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 790
  • Cognitive Neuroscience 245
  • Human-Computer Interaction 64
  • Artificial Intelligence 302
  • Signal Processing 85
Replace Gunther Heidemann with:
Gunther Heidemann Germany
Charles Rosenberg United States
Monica Nicolescu United States
W. von Seelen Germany
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Daryl T. Lawton United States
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Jianwen Xie China
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Citations per year

Countries citing papers authored by Hilary Buxton

Since Specialization
Citations

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

Fields of papers citing papers by Hilary Buxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200810
2 20050
3 20031
4 20038
5
Perceptual recersal over time course
20011
6 20013
7
Comparison of Feedforward (TDRBF) and Generative (TDRGBN) Network for Gesture Based Control
20011
8
Optimal mutation rates and selection pressure in genetic algorithms
200019
9
On recombination and optimal mutation rates
199933
10 1995104
11
Selective Attention in Dynamic Vision.
199313
12
On the visual expectations of moving objects
19926
13
Analogical representation of spatial events for understanding traffic behaviour
199217
14
Optimizing, regularization and simulated annealing in low-level computer vision
19883
15 19886
16
Applications of a fast parallel algorithm for the extraction and interpretation of optical flow
19862
17
MACHINE PERCEPTION OF VISUAL-MOTION
19851
18
3D solutions to the aperture problem
198415
19 198344
20 198339

About Hilary Buxton

Hilary Buxton is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), Advanced Image and Video Retrieval Techniques (15 papers), Face and Expression Recognition (8 papers), Neural dynamics and brain function (8 papers), Neural Networks and Applications (8 papers), Video Surveillance and Tracking Methods (7 papers), Human Pose and Action Recognition (7 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (790 citations), Cognitive Neuroscience (245 citations) and Human-Computer Interaction (64 citations). Hilary Buxton has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Shaogang Gong, Bernard F. Buxton, Richard J. Howarth, Peter W. McOwan, Alan Johnston, John Howell, Inman Harvey, Gabriela Ochoa, Jianfeng Feng and DW Murray. Their work appears in journals such as Image and Vision Computing, Neural Processing Letters, Parallel Computing, Neurocomputing and Brain and Language.

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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