Tim Culver

1.2k citations
17 papers · 940 · h-index 12

Impact in

Papers in

Tim Culver

16 papers receiving 866 citations

Peers

Tim Culver
Comparison fields: 5 of 75
  • Computer Graphics and Computer-Aided Design 557
  • Computer Vision and Pattern Recognition 457
  • Computational Mechanics 415
  • Signal Processing 84
  • Industrial and Manufacturing Engineering 58
Replace Efi Fogel with:
Efi Fogel Israel
Guodong Rong United States
Kenneth E. Hoff United States
Miguel Saínz Spain
A. Lin United States
Kevin Weiler United States
Matthias Eck United States
Igor Guskov United States
Arno Schödl United States
Lutz Kettner Germany
Tim Culver relative to Efi Fogel Israel Efi Fogel's profile →
Citations per field
00.5×3.1×
Efi Fogel · 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

17 of 17 papers shown
#Work
1 1999477
2 200378
3 200274
4 199973
5 200059
6 199936
7 200036
8 200333
9 200119
10
Computing the medial axis of a polyhedron reliably and efficiently
200018
11 200214
12 200113
13
Efficient and Reliable Computation with Algebraic Numbers for Geometric Algorithms
19986
14 20022
15 20031
16 20021
17 20020

About Tim Culver

Tim Culver is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 17 papers that have together received 940 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (13 papers), Advanced Numerical Analysis Techniques (8 papers), Computer Graphics and Visualization Techniques (7 papers), Polynomial and algebraic computation (3 papers), 3D Shape Modeling and Analysis (3 papers), Numerical Methods and Algorithms (2 papers), Robotic Path Planning 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 (557 citations), Computer Vision and Pattern Recognition (457 citations), Computational Mechanics (415 citations), Signal Processing (84 citations) and Industrial and Manufacturing Engineering (58 citations). Tim Culver has collaborated with scholars based in United States and Canada. 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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