Tim Culver

1.2k citations
16 papers · 922 · h-index 12

Impact in

Papers in

Tim Culver

16 papers receiving 867 citations

Peers

Tim Culver
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 512
  • Computational Mechanics 221
  • Computer Vision and Pattern Recognition 214
  • Hardware and Architecture 59
  • Computational Theory and Mathematics 100
Replace Lutz Kettner with:
Lutz Kettner Germany
Kenneth E. Hoff United States
Sylvain Pion France
Efi Fogel Israel
Jean‐Claude Paul China
Daniel R. Schikore United States
Oswin Aichholzer Austria
Eric Shaffer United States
Randima Fernando United States
Rhaleb Zayer Germany
Tim Culver relative to Lutz Kettner Germany Lutz Kettner's profile →
Citations per field
00.5×2×3.2×
Lutz Kettner · 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 7 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

16 of 16 papers shown
#Work
1 1999466
2 200378
3 200273
4 199968
5 200058
6 200037
7 199936
8 200333
9 200119
10
Computing the medial axis of a polyhedron reliably and efficiently
200018
11 200113
12 200213
13
Efficient and Reliable Computation with Algebraic Numbers for Geometric Algorithms
19986
14 20022
15 20021
16 20031

About Tim Culver

Tim Culver is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computational Mechanics, Computer Vision and Pattern Recognition and Nuclear Energy and Engineering, having authored 16 papers that have together received 922 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (11 papers), Polynomial and algebraic computation (7 papers), Advanced Numerical Analysis Techniques (4 papers), Numerical Methods and Algorithms (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (512 citations), Computational Mechanics (221 citations), Computer Vision and Pattern Recognition (214 citations), Hardware and Architecture (59 citations) and Computational Theory and Mathematics (100 citations). Tim Culver has collaborated with scholars based in United States. Frequent co-authors include Dinesh Manocha, John Keyser, Ming C. Lin, Kenneth E. Hoff, Shankar Muthu Krishnan, Mark Foskey and M. Gopi. Their work appears in journals such as Computer-Aided Design, Computer Aided Geometric Design, International Journal of Computational Geometry & Applications, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and Springer eBooks.

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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