Andrew Thall

871 citations
18 papers · 584 · h-index 10

Impact in

Papers in

Andrew Thall

18 papers receiving 524 citations

Peers

Andrew Thall
Comparison fields: 5 of 78
  • Computer Graphics and Computer-Aided Design 66
  • Computer Vision and Pattern Recognition 384
  • Geometry and Topology 95
  • Computational Mathematics 4
  • Computational Mechanics 134
Replace Conglin Lu with:
Conglin Lu United States
Sheshadri Thiruvenkadam United States
Hüseyin Tek United States
Anfei Fan United States
Delphine Nain United States
Marcin Novotni Germany
Faouzi Ghorbel Tunisia
P. Brigger Switzerland
Krzysztof Chris Ciesielski United States
Chien-Ping Lu United States
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Citations per field
00.5×1.7×
Conglin Lu · 1×
Citations per year

Countries citing papers authored by Andrew Thall

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Thall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Andrew Thall, 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 Andrew Thall Line = papers co-authored together Andrew Thall links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2003213
2 2002102
3 200355
4 200547
5 199547
6 200524
7 200619
8 199918
9
Fast C 2 Interpolating Subdivision Surfaces using Iterative Inversion of Stationary Subdivision Rules
200317
10
Deformable solid modeling via medial sampling and displacement subdivision
200413
11 20039
12 20056
13
Deformable Solid Modeling using Sampled Medial Surfaces: A Multiscale Approach
20005
14
Shape Modeling and Image Visualization in 3D with M-rep Object Models
20023
15 20112
16 20202
17 20041
18
A New Object Representation For Graphics
19991

About Andrew Thall

Andrew Thall is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Geometry and Topology and Information Systems, having authored 18 papers that have together received 584 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), 3D Shape Modeling and Analysis (7 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Numerical Analysis Techniques (4 papers), Morphological variations and asymmetry (3 papers), Image and Object Detection Techniques (2 papers), Image Processing and 3D Reconstruction (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (66 citations), Computer Vision and Pattern Recognition (384 citations), Geometry and Topology (95 citations), Computational Mathematics (4 citations) and Computational Mechanics (134 citations). Andrew Thall has collaborated with scholars based in United States. Frequent co-authors include Stephen M. Pizer, Sarang Joshi, P. Thomas Fletcher, Paul A. Yushkevich, Edward L. Chaney, Daniel Fritsch, Gregg Tracton, J. S. Marron, Michael R. Jiroutek and Keith E. Muller. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Medical Imaging, Medical Physics, International Journal of Radiation Oncology*Biology*Physics 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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