Ben Appleton

491 citations
23 papers · 373 · h-index 9

Impact in

Papers in

Ben Appleton

23 papers receiving 353 citations

Peers

Ben Appleton
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 258
  • Computer Graphics and Computer-Aided Design 28
  • Media Technology 45
  • Biophysics 28
  • Structural Biology 5
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Countries citing papers authored by Ben Appleton

Since Specialization
Citations

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

Fields of papers citing papers by Ben Appleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ben Appleton, 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 Appleton Line = papers co-authored together Ben Appleton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200583
2 200658
3 200339
4 200426
5 200426
6 200525
7 200519
8 200613
9
Globally Optimal Surfaces By Continuous Maximal Flows
200313
10 20089
11 20058
12 20058
13 20057
14 20247
15
Elliptical Distance Transforms And Object Splitting
20027
16 20246
17 20124
18
Embedded Voxel Colouring
20034
19
Autonomous Direct 3D Segmentation of Articular Knee Cartilage
20033
20
A Novel Automated Left Ventricle Segmentation Routine
20053

About Ben Appleton

Ben Appleton is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging, Neurology and Media Technology, having authored 23 papers that have together received 373 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Advanced Vision and Imaging (7 papers), Computer Graphics and Visualization Techniques (4 papers), Image and Object Detection Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers), Cardiovascular Function and Risk Factors (3 papers), Digital Image Processing Techniques (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (258 citations), Computer Graphics and Computer-Aided Design (28 citations), Media Technology (45 citations), Biophysics (28 citations) and Structural Biology (5 citations). Ben Appleton has collaborated with scholars based in Australia, France and China. Frequent co-authors include Hugues Talbot, Changming Sun, Brian C. Lovell, Andrew P. Bradley, ‪Stuart Crozier‬, Feng Liu, Stephen James Wilson, Nianjun Liu, R. Slaughter and Ling Xia. Their work appears in journals such as Image and Vision Computing, Physics in Medicine and Biology, Journal of Mathematical Imaging and Vision, Journal of Neural Engineering and International Journal of Computer Vision.

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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