David Vernon

4.3k citations
96 papers · 2.3k · h-index 22

Impact in

Papers in

David Vernon

85 papers receiving 2.1k citations

Peers

David Vernon
Comparison fields: 5 of 146
  • Cognitive Neuroscience 566
  • Social Psychology 542
  • Control and Systems Engineering 582
  • Computer Vision and Pattern Recognition 512
  • Human-Computer Interaction 127
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Paul Fitzpatrick United States
Tony Pipe United Kingdom
Charles Rosenberg United States
Alan C. Schultz United States
Marc Toussaint Germany
Martin V. Butz Germany
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Salvatore Gaglio Italy
Norbert Krüger Denmark
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Citations per field
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Citations per year

Countries citing papers authored by David Vernon

Since Specialization
Citations

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

Fields of papers citing papers by David Vernon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Vernon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Vernon Line = papers co-authored together David Vernon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008385
2 2010364
3 2007234
4 2007187
5
Artificial Cognitive Systems: A Primer
201495
6 201774
7 200572
8
Machine vision - Automated visual inspection and robot vision
199167
9 201062
10
Machine vision
199147
11 201543
12 202042
13
Proceedings of the 6th European Conference on Computer Vision-Part I
200037
14 200734
15 200634
16 201032
17 201629
18
Proceedings of the 6th European Conference on Computer Vision-Part II
200029
19 201527
20 201826

About David Vernon

David Vernon is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence, Social Psychology and Cognitive Neuroscience, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (17 papers), Embedded Systems Design Techniques (15 papers), Social Robot Interaction and HRI (12 papers), Embodied and Extended Cognition (11 papers), Advanced Vision and Imaging (9 papers), Image and Object Detection Techniques (9 papers), AI-based Problem Solving and Planning (8 papers) and Action Observation and Synchronization (7 papers). The work is most often cited by research in Cognitive Neuroscience (566 citations), Social Psychology (542 citations), Control and Systems Engineering (582 citations), Computer Vision and Pattern Recognition (512 citations) and Human-Computer Interaction (127 citations). David Vernon has collaborated with scholars based in Ireland, France and Italy. Frequent co-authors include Giulio Sandini, Giorgio Metta, Lorenzo Natale, Francesco Nori, Luciano Fadiga, José Santos-Victor, Claes von Hofsten, Manuel Lopes, Luis Montesano and Alexandre Bernardino. Their work appears in journals such as Image and Vision Computing, IEEE Robotics & Automation Magazine, Optical Engineering, Machine Vision and Applications and Science Robotics.

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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