Ben Appleton

480 citations
19 papers · 290 · h-index 9

Impact in

Papers in

Ben Appleton

19 papers receiving 269 citations

Peers

Ben Appleton
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 198
  • Computer Graphics and Computer-Aided Design 22
  • Biophysics 27
  • Media Technology 39
  • Structural Biology 5
Replace P. Brigger with:
P. Brigger Switzerland
Anfei Fan United States
Sheshadri Thiruvenkadam United States
Stéphanie Jehan‐Besson France
M.-P. Dubuisson-Jolly United States
P. Saint-Marc United States
Laura Reden United States
Sundaresh Ram United States
Benoît Naegel France
A. Moga Germany
Ben Appleton relative to P. Brigger Switzerland P. Brigger's profile →
Citations per field
00.5×1.5×2.5×
P. Brigger · 1×
Citations per year

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

19 of 19 papers shown
#Work
1 200570
2 200641
3 200333
4 200521
5 200420
6 200420
7 200519
8 200613
9 20089
10
Globally Optimal Surfaces By Continuous Maximal Flows
20038
11 20058
12 20058
13
Elliptical Distance Transforms And Object Splitting
20025
14
Embedded Voxel Colouring
20034
15
Autonomous Direct 3D Segmentation of Articular Knee Cartilage
20033
16 20123
17
A Novel Automated Left Ventricle Segmentation Routine
20053
18
Optimal Geodesic Active Contours: Application to Heart Segmentation
20031
19
An MRI-based beating heart model
20061

About Ben Appleton

Ben Appleton is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Computer Graphics and Computer-Aided Design and Biomedical Engineering, having authored 19 papers that have together received 290 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Advanced Vision and Imaging (6 papers), Image and Object Detection Techniques (4 papers), Advanced Image Processing Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced MRI Techniques and Applications (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Computer Graphics and Computer-Aided Design (22 citations), Biophysics (27 citations), Media Technology (39 citations) and Structural Biology (5 citations). Ben Appleton has collaborated with scholars based in Australia, China and France. Frequent co-authors include Hugues Talbot, Changming Sun, Brian C. Lovell, Andrew P. Bradley, ‪Stuart Crozier‬, Stephen J. Wilson, Nianjun Liu, Feng Liu, Ling Xia and R. Slaughter. Their work appears in journals such as Image and Vision Computing, International Journal of Computer Vision, Journal of Mathematical Imaging and Vision, Pattern Recognition and Physics in Medicine and Biology.

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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