Lee W. Campbell

18 total papers · 2.0k total citations
14 papers, 1.5k citations indexed

About

Lee W. Campbell is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lee W. Campbell has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Human-Computer Interaction and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lee W. Campbell's work include Neuroscience and Neuropharmacology Research (4 papers), Interactive and Immersive Displays (3 papers) and Virtual Reality Applications and Impacts (3 papers). Lee W. Campbell is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Interactive and Immersive Displays (3 papers) and Virtual Reality Applications and Impacts (3 papers). Lee W. Campbell collaborates with scholars based in United States. Lee W. Campbell's co-authors include Aaron Bobick, Olivier Thibault, Suyang Hao, Philip W. Landfield, D. Steven Kerr, P. W. Landfield, D.S. Kerr, Justine Cassell, Hannes Högni Vilhjálmsson and Tim Bickmore and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Lee W. Campbell

14 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Lee W. Campbell 449 441 310 286 246 14 1.5k
Julia Woodward 283 0.6× 52 0.1× 73 0.2× 148 0.5× 89 0.4× 35 1.3k
John W. Snell 126 0.3× 133 0.3× 60 0.2× 39 0.1× 67 0.3× 23 1.3k
Randall Frank 113 0.3× 363 0.8× 38 0.1× 145 0.5× 264 1.1× 10 1.7k
Timo Torsten Schmidt 246 0.5× 278 0.6× 14 0.0× 26 0.1× 119 0.5× 55 1.5k
Sang Wan Lee 108 0.2× 300 0.7× 18 0.1× 89 0.3× 54 0.2× 91 1.3k
Rajeev D. S. Raizada 201 0.4× 90 0.2× 39 0.1× 57 0.2× 190 0.8× 31 1.7k
Jianhai Zhang 180 0.4× 118 0.3× 15 0.0× 194 0.7× 64 0.3× 75 1.3k
José Manuel Cimadevilla 500 1.1× 92 0.2× 136 0.4× 81 0.3× 134 0.5× 70 1.5k
Michael Kuperstein 344 0.8× 82 0.2× 24 0.1× 26 0.1× 106 0.4× 19 1.1k
Frederick G. Freeman 283 0.6× 27 0.1× 42 0.1× 57 0.2× 541 2.2× 46 1.5k

Countries citing papers authored by Lee W. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Lee W. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee W. Campbell. 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 Lee W. Campbell. The network helps show where Lee W. Campbell may publish in the future.

Co-authorship network of co-authors of Lee W. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Lee W. Campbell. A scholar is included among the top collaborators of Lee W. Campbell 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 Lee W. Campbell. Lee W. Campbell 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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2026