John Keyser

2.8k citations
103 papers · 2.1k · h-index 23

Impact in

Papers in

John Keyser

96 papers receiving 2k citations

Peers

John Keyser
Comparison fields: 5 of 90
  • Computer Graphics and Computer-Aided Design 1.2k
  • Computational Mechanics 525
  • Computer Vision and Pattern Recognition 355
  • Biophysics 94
  • Computational Theory and Mathematics 148
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Hock Soon Seah Singapore
Kenneth I. Joy United States
Scott Schaefer United States
Masaki Hilaga Japan
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Citations per field
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Citations per year

Countries citing papers authored by John Keyser

Since Specialization
Citations

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

Fields of papers citing papers by John Keyser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999466
2 200695
3 200378
4 200273
5 201073
6 200872
7 201069
8 199968
9 200964
10 200058
11 200754
12 200753
13 200843
14 200037
15 199936
16 200835
17 200333
18 200333
19 200530
20 199929

About John Keyser

John Keyser is a scholar working on Computer Graphics and Computer-Aided Design, Biophysics, Computational Mechanics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (50 papers), Computational Geometry and Mesh Generation (17 papers), Cell Image Analysis Techniques (13 papers), Advanced Numerical Analysis Techniques (13 papers), 3D Shape Modeling and Analysis (12 papers), Polynomial and algebraic computation (12 papers), Data Visualization and Analytics (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.2k citations), Computational Mechanics (525 citations), Computer Vision and Pattern Recognition (355 citations), Biophysics (94 citations) and Computational Theory and Mathematics (148 citations). John Keyser has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Dinesh Manocha, Tim Culver, Cem Yuksel, Ming C. Lin, Kenneth E. Hoff, Donald H. House, Shankar Muthu Krishnan, Scott Schaefer, David Matthew Mayerich and Jyh‐Ming Lien. Their work appears in journals such as ACM Transactions on Graphics, Computer-Aided Design, Computer Aided Geometric Design, IEEE Transactions on Visualization and Computer Graphics and The Visual Computer.

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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