Lawrence Cayton

11 total papers · 469 total citations
9 papers, 244 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 244 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), Advanced Optimization Algorithms Research (2 papers) and Data Management and Algorithms (2 papers). Lawrence Cayton is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Advanced Optimization Algorithms Research (2 papers) and Data Management and Algorithms (2 papers). Lawrence Cayton collaborates with scholars based in United States and Germany. Lawrence Cayton's co-authors include Sanjoy Dasgupta, Sameer Agarwal, Josh Wills, Serge Belongie, Gert Lanckriet, David Kriegman, Benno Pütz, Tony Kam-Thong, Karsten Borgwardt and André Altmann 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 233 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lawrence Cayton	116	95	52	28	26	9	244
Giorgos Bouritsas	150 1.3×	149 1.6×	20 0.4×	59 2.1×	22 0.8×	9	311
Adrian Corduneanu	62 0.5×	231 2.4×	61 1.2×	8 0.3×	31 1.2×	10	324
Tae-Hyun Hwang	95 0.8×	61 0.6×	25 0.5×	8 0.3×	103 4.0×	19	269
Erhan Gökçay	110 0.9×	158 1.7×	54 1.0×	19 0.7×	24 0.9×	15	291
Shuo Xiang	139 1.2×	117 1.2×	31 0.6×	102 3.6×	21 0.8×	9	286
I Browning	102 0.9×	150 1.6×	23 0.4×	5 0.2×	19 0.7×	12	270
Chris S. Wallace	48 0.4×	208 2.2×	37 0.7×	7 0.3×	25 1.0×	14	327
Ashim Garg	182 1.6×	29 0.3×	42 0.8×	10 0.4×	14 0.5×	15	307
Валентина Кустикова	129 1.1×	61 0.6×	17 0.3×	5 0.2×	11 0.4×	7	266
Xiao Li	44 0.4×	167 1.8×	114 2.2×	7 0.3×	17 0.7×	11	293

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

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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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