Lee W. Campbell

2.0k citations
14 papers · 1.5k indexed · h-index 11
Topics
Neuroscience and Neuropharmacology Research (4 papers)Augmented Reality Applications (3 papers)Virtual Reality Applications and Impacts (3 papers)
Partner nations
United States

In The Last Decade

Lee W. Campbell

14 papers receiving 1.4k citations

Peers

Lee W. Campbell
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 449
  • Computer Vision and Pattern Recognition 441
  • Behavioral Neuroscience 311
  • Human-Computer Interaction 286
  • Social Psychology 246
Replace Hyun Taek Kim with:
Hyun Taek Kim South Korea
Robert S. Astur United States
Tetsuo Ono Japan
José Manuel Cimadevilla Spain
Brendan M. Walker United States
Ueli Rutishauser United States
Elizabeth A. Buffalo United States
Randall Frank United States
Christos Constantinidis United States
Timothy J. Buschman United States
Lee W. Campbell relative to Hyun Taek Kim South Korea Hyun Taek Kim's profile →
Citations per field
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Hyun Taek Kim · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 109
2 185
3
The KidsRoom
8
4 168
5 24
6 243
7
A Perceptually-Based Interactive and Immersive Story Environment
3
8
Design Decisions for Interactive Environments: Evaluating the KidsRoom
7
9 12
10 164
11 62
12 208
13 50
14 232

About Lee W. Campbell

Lee W. Campbell is a scholar working on Human-Computer Interaction, Behavioral Neuroscience and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Augmented Reality Applications (3 papers) and Virtual Reality Applications and Impacts (3 papers). The work is most often cited by research in Behavioral Neuroscience (311 citations), Human-Computer Interaction (286 citations) and Cellular and Molecular Neuroscience (449 citations). Lee W. Campbell has collaborated with scholars based in United States. Frequent co-authors include Aaron Bobick, Olivier Thibault, Philip W. Landfield, Suyang Hao, D. Steven Kerr, P. W. Landfield, D.S. Kerr, Hannes Högni Vilhjálmsson, Tim Bickmore and Justine Cassell. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

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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