Samuel P. Uselton

24 papers receiving 747 citations

Hit Papers

Optimal surface reconstruction from planar contours19772026199320091977100200300400500

Peers

Samuel P. Uselton
Comparison fields: 5 of 86
  • Computer Graphics and Computer-Aided Design 514
  • Computer Vision and Pattern Recognition 503
  • Computational Mechanics 358
  • Radiology, Nuclear Medicine and Imaging 63
  • Biomedical Engineering 47
Replace Miloš Šrámek with:
Miloš Šrámek Austria
Christof Rezk‐Salama Germany
Simon Premože United States
Robert A. Drebin United States
Lee Westover United States
Gideon Frieder United States
Ares Lagae Belgium
Lisa Avila United States
Per H. Christensen United States
Craig Kolb United States
Samuel P. Uselton relative to Miloš Šrámek Austria Miloš Šrámek's profile →
Citations per field
00.5×1.5×
Miloš Šrámek · 1×
Citations per year

Countries citing papers authored by Samuel P. Uselton

Since Specialization
Citations

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

Fields of papers citing papers by Samuel P. Uselton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel P. Uselton. 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 Samuel P. Uselton. The network helps show where Samuel P. Uselton may publish in the future.

Co-authorship network of co-authors of Samuel P. Uselton

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel P. Uselton. A scholar is included among the top collaborators of Samuel P. Uselton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel P. Uselton. Samuel P. Uselton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 1
3 1
4 6
5 9
6 3
7 13
8 2
9 8
10
Foundations for Measuring Volume Rendering Quality
9
11 2
12
Proceedings of the IEEE symposium on Parallel rendering
1
13 9
14
Metrics and Benchmarks for Visualization
1
15
Validation, verification and evaluation (Panel).
0
16 3
17
Volume Rendering for Computational Fluid Dynamics: Initial Results
30
18 123
19
Optimal surface reconstruction from planar contoursbreakdown →
540
20 12

About Samuel P. Uselton

Samuel P. Uselton is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 27 papers that have together received 832 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (17 papers), 3D Shape Modeling and Analysis (8 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (514 citations), Computer Vision and Pattern Recognition (503 citations) and Computational Mechanics (358 citations). Samuel P. Uselton has collaborated with scholars based in United States. Frequent co-authors include Zvi M. Kedem, Henry Fuchs, Richard A. Redner, Alex Pang, Peter L. Williams, Lloyd A. Treinish, James Ahrens, Leslie Keely, Andrei State and T. A. Lasinski. Their work appears in journals such as Communications of the ACM, ACM Transactions on Graphics and Journal of Medical Systems.

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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