Tim Culver

1.1k citations
15 papers · 832 indexed · h-index 11

Impact in

Papers in

Tim Culver

15 papers receiving 761 citations

Peers

Tim Culver
Comparison fields: 5 of 75
  • Computer Graphics and Computer-Aided Design 490
  • Computer Vision and Pattern Recognition 404
  • Computational Mechanics 366
  • Signal Processing 69
  • Industrial and Manufacturing Engineering 52
Replace John M. Snyder with:
John M. Snyder United States
Sylvain Lazard France
Guodong Rong United States
Monique Teillaud France
Kenneth E. Hoff United States
Miguel Saínz Spain
Efi Fogel Israel
Sylvain Pion France
Igor Guskov United States
Matthias Eck United States
Tim Culver relative to John M. Snyder United States John M. Snyder's profile →
Citations per field
00.5×4.8×
John M. Snyder · 1×
Citations per year

Countries citing papers authored by Tim Culver

Since Specialization
Citations

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

Fields of papers citing papers by Tim Culver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Tim Culver, 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 Tim Culver Line = papers co-authored together Tim Culver links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1999431
2 200371
3 199967
4 200267
5 200052
6 200030
7 200329
8 199925
9 200118
10
Computing the medial axis of a polyhedron reliably and efficiently
200012
11 200212
12 20019
13
Efficient and Reliable Computation with Algebraic Numbers for Geometric Algorithms
19986
14 20022
15 20031

About Tim Culver

Tim Culver is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 15 papers that have together received 832 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (12 papers), Computer Graphics and Visualization Techniques (7 papers), Advanced Numerical Analysis Techniques (7 papers), Polynomial and algebraic computation (3 papers), 3D Shape Modeling and Analysis (2 papers), Robotic Path Planning Algorithms (2 papers), Numerical Methods and Algorithms (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (490 citations), Computer Vision and Pattern Recognition (404 citations), Computational Mechanics (366 citations), Signal Processing (69 citations) and Industrial and Manufacturing Engineering (52 citations). Tim Culver has collaborated with scholars based in United States. Frequent co-authors include Dinesh Manocha, John Keyser, Kenneth E. Hoff, Shankar Krishnan, Ming C. Lin, Mark Foskey, M. Gopi and Shankar Krishnan. Their work appears in journals such as Computer-Aided Design, Computer Aided Geometric Design and International Journal of Computational Geometry & Applications.

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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