Nathan Carr

2.6k citations
54 papers · 1.8k indexed · h-index 24

Impact in

Papers in

Nathan Carr

53 papers receiving 1.7k citations

Peers

Nathan Carr
Comparison fields: 5 of 90
  • Computer Graphics and Computer-Aided Design 1.0k
  • Computer Vision and Pattern Recognition 950
  • Computational Mechanics 820
  • Geology 116
  • Human-Computer Interaction 93
Replace Alec Jacobson with:
Alec Jacobson United States
Weiwei Xu China
Bernhard Kerbl Austria
Cem Yuksel United States
Klaus Hildebrandt Netherlands
Jun‐Hai Yong China
Emil Praun United States
Elaine Cohen United States
Georgios Kopanas France
Takafumi Saito Japan
Nathan Carr relative to Alec Jacobson United States Alec Jacobson's profile →
Citations per field
00.5×1.5×
Alec Jacobson · 1×
Citations per year

Countries citing papers authored by Nathan Carr

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012221
2 2002126
3 2014122
4 2014103
5 201977
6 200374
7
Fast GPU ray tracing of dynamic meshes using geometry images
200668
8 201565
9 201464
10 200263
11 201960
12 201458
13 201153
14
Cache and Bandwidth Aware Matrix Multiplication on the GPU
200346
15 201244
16 200434
17 201432
18 201531
19 200930
20 201329

About Nathan Carr

Nathan Carr is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Signal Processing and Geology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (37 papers), 3D Shape Modeling and Analysis (29 papers), Advanced Vision and Imaging (20 papers), Computational Geometry and Mesh Generation (12 papers), Advanced Numerical Analysis Techniques (9 papers), 3D Surveying and Cultural Heritage (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.0k citations), Computer Vision and Pattern Recognition (950 citations), Computational Mechanics (820 citations), Geology (116 citations) and Human-Computer Interaction (93 citations). Nathan Carr has collaborated with scholars based in United States, Canada and China. Frequent co-authors include John C. Hart, Radomír Měch, Jesse D. Hall, Ondrej Stava, Bedřich Beneš, J. Vanek, Tao Ju, Kalyan Sunkavalli, Sunil Hadap and Bochang Moon. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics and Computational Visual Media.

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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