Jonathan Richard Shewchuk

60 papers receiving 5.4k citations

Hit Papers

An Introduction to the Conjugate Gradient Method Without ...1994202620042015199420024008001.2k

Peers

Jonathan Richard Shewchuk
Comparison fields: 5 of 160
  • Computer Graphics and Computer-Aided Design 2.4k
  • Computational Mechanics 2.3k
  • Computer Vision and Pattern Recognition 1.2k
  • Environmental Engineering 475
  • Electrical and Electronic Engineering 443
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Countries citing papers authored by Jonathan Richard Shewchuk

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Richard Shewchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Richard Shewchuk. 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 Jonathan Richard Shewchuk. The network helps show where Jonathan Richard Shewchuk may publish in the future.

Co-authorship network of co-authors of Jonathan Richard Shewchuk

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Richard Shewchuk. A scholar is included among the top collaborators of Jonathan Richard Shewchuk 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 Jonathan Richard Shewchuk. Jonathan Richard Shewchuk 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 2
2
Realizing Farthest-Point Voronoi Diagrams.
1
3 12
4 32
5 16
6 50
7 108
8 70
9 5
10
Streaming compression of tetrahedral volume meshes
23
11 41
12 5
13 226
14
The Strange Complexity of Constrained Delaunay Triangulation.
4
15
Constrained Delaunay Tetrahedralizations and Provably Good Boundary Recovery.
86
16
Delaunay refinement algorithms for triangular mesh generationbreakdown →
818
17 261
18 345
19
Automated Parallel Solution of Unstructured PDE Problems
3
20
Route Planning and Learning from Execution
4

About Jonathan Richard Shewchuk

Jonathan Richard Shewchuk is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computational Mechanics, having authored 61 papers that have together received 5.8k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (46 papers), Computer Graphics and Visualization Techniques (21 papers) and 3D Shape Modeling and Analysis (14 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.4k citations), Computational Mechanics (2.3k citations) and Computer Vision and Pattern Recognition (1.2k citations). Jonathan Richard Shewchuk has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include James F. O’Brien, François Labelle, David R. O’Hallaron, Chen Shen, Tamal K. Dey, Siu-Wing Cheng, Gary L. Miller, Martin Isenburg, Jifeng Xu and Jacobo Bielak. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, ACM Transactions on Graphics and SIAM Journal on Control and Optimization.

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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