Douglas W. Cunningham

2.5k citations
109 papers · 1.7k indexed · h-index 24

Douglas W. Cunningham

100 papers receiving 1.6k citations

Peers

Douglas W. Cunningham
Comparison fields: 5 of 134
  • Cognitive Neuroscience 840
  • Computer Vision and Pattern Recognition 705
  • Experimental and Cognitive Psychology 442
  • Social Psychology 372
  • Human-Computer Interaction 185
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J. Farley Norman United States
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Countries citing papers authored by Douglas W. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Douglas W. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas W. Cunningham

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 5
5 14
6
Gaze Prediction using Machine Learning for Dynamic Stereo Manipulation in Games
1
7 8
8 0
9 92
10 36
11 91
12
Perceptual validation of facial animation: The role of prior experience
2
13
The role of image size in the recognition of conversational facial expressions: Research Articles
4
14 12
15 11
16 65
17 15
18 14
19 13
20
High Efficiency Production Silicon Solar Cells with Screen Printed Contacts
3

About Douglas W. Cunningham

Douglas W. Cunningham is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 109 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face recognition and analysis (23 papers), Face Recognition and Perception (22 papers) and Visual perception and processing mechanisms (19 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (150 citations), Cognitive Neuroscience (840 citations) and Computer Vision and Pattern Recognition (705 citations). Douglas W. Cunningham has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian Wallraven, HH Bülthoff, Brian H. Tsou, Vincent A. Billock, Manfred Nusseck, Bernhard E. Riecke, Martin Breidt, Tania Pouli, Erik Reinhard and M Kleiner. Their work appears in journals such as PLoS ONE, Psychological Science and Expert Systems with Applications.

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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