Lawrence Cayton

470 total citations
9 papers, 245 citations indexed

About

Lawrence Cayton is a scholar working on Computer Vision and Pattern Recognition, Numerical Analysis and Signal Processing. According to data from OpenAlex, Lawrence Cayton has authored 9 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Numerical Analysis and 2 papers in Signal Processing. Recurrent topics in Lawrence Cayton's work include Advanced Image and Video Retrieval Techniques (5 papers), Sparse and Compressive Sensing Techniques (2 papers) and Advanced Optimization Algorithms Research (2 papers). Lawrence Cayton is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Sparse and Compressive Sensing Techniques (2 papers) and Advanced Optimization Algorithms Research (2 papers). Lawrence Cayton collaborates with scholars based in United States and Germany. Lawrence Cayton's co-authors include Sanjoy Dasgupta, Sameer Agarwal, Gert Lanckriet, David Kriegman, Josh Wills, Serge Belongie, Benno Pütz, André Altmann, Bernhard Schölkopf and Karsten Borgwardt and has published in prestigious journals such as Human Heredity, Mathematical Methods of Operations Research and Max Planck Institute for Plasma Physics.

In The Last Decade

Lawrence Cayton

8 papers receiving 234 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lawrence Cayton United States 7 116 96 52 28 26 9 245
Guillaume Alain Canada 7 215 1.9× 186 1.9× 86 1.7× 17 0.6× 21 0.8× 8 410
Chao Lan United States 11 148 1.3× 151 1.6× 72 1.4× 24 0.9× 16 0.6× 43 325
Cheng Tai China 6 194 1.7× 128 1.3× 17 0.3× 40 1.4× 71 2.7× 11 355
Adrian Corduneanu United States 7 62 0.5× 230 2.4× 61 1.2× 8 0.3× 31 1.2× 10 322
Tae-Hyun Hwang United States 8 94 0.8× 60 0.6× 25 0.5× 8 0.3× 103 4.0× 19 268
Shuo Xiang United States 7 139 1.2× 117 1.2× 31 0.6× 102 3.6× 23 0.9× 10 288
Yuanrong Xu China 8 240 2.1× 95 1.0× 90 1.7× 44 1.6× 5 0.2× 25 363
Gregory W. Cook United States 10 133 1.1× 29 0.3× 69 1.3× 8 0.3× 55 2.1× 36 272
Taisong Jin China 12 234 2.0× 118 1.2× 34 0.7× 65 2.3× 36 1.4× 30 391
Mladen Veinović Serbia 10 53 0.5× 70 0.7× 88 1.7× 35 1.3× 6 0.2× 75 252

Countries citing papers authored by Lawrence Cayton

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Cayton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Cayton

This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence Cayton. A scholar is included among the top collaborators of Lawrence Cayton 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 Lawrence Cayton. Lawrence Cayton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kam-Thong, Tony, Chloé‐Agathe Azencott, Lawrence Cayton, et al.. (2012). GLIDE: GPU-Based Linear Regression for Detection of Epistasis. Human Heredity. 73(4). 220–236. 23 indexed citations
2.
Cayton, Lawrence. (2010). A Nearest Neighbor Data Structure for Graphics Hardware. Max Planck Institute for Plasma Physics. 1–6. 18 indexed citations
3.
Cayton, Lawrence. (2009). Efficient Bregman Range Search. Max Planck Institute for Plasma Physics. 22. 243–251. 8 indexed citations
4.
Dasgupta, Sanjoy & Lawrence Cayton. (2009). Bregman proximity search. 2 indexed citations
5.
Cayton, Lawrence. (2008). Fast nearest neighbor retrieval for bregman divergences. 112–119. 63 indexed citations
6.
Agarwal, Sameer, Josh Wills, Lawrence Cayton, et al.. (2007). Generalized Non-metric Multidimensional Scaling.. International Conference on Artificial Intelligence and Statistics. 11–18. 79 indexed citations
7.
Cayton, Lawrence & Sanjoy Dasgupta. (2007). A learning framework for nearest neighbor search. 20. 233–240. 14 indexed citations
8.
Cayton, Lawrence & Sanjoy Dasgupta. (2006). Robust Euclidean embedding. 169–176. 38 indexed citations
9.
Cayton, Lawrence, et al.. (2006). Asymptotic sign-solvability, multiple objective linear programming, and the nonsubstitution theorem. Mathematical Methods of Operations Research. 64(3). 541–555.

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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