David Peebles

41 papers receiving 1.2k citations

Peers

David Peebles
Comparison fields: 5 of 129
  • General Dentistry 44
  • Cognitive Neuroscience 470
  • Human-Computer Interaction 135
  • Experimental and Cognitive Psychology 143
  • Computer Vision and Pattern Recognition 196
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Citations per year

Countries citing papers authored by David Peebles

Since Specialization
Citations

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

Fields of papers citing papers by David Peebles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside David Peebles, 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 Peebles Line = papers co-authored together David Peebles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017196
2 2019191
3 2019106
4 2003103
5 2019100
6 201889
7 201245
8
Modelling performance in the sustained attention to response task
200442
9 200640
10 201539
11 202038
12 201021
13
Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society
201220
14 201918
15 200218
16 202016
17
Graph-based reasoning: from task analysis to cognitive explanation
200115
18 201515
19 202015
20 200814

About David Peebles

David Peebles is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology, Psychiatry and Mental health and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Visual and Cognitive Learning Processes (7 papers), Cognitive Science and Mapping (7 papers), Data Visualization and Analytics (6 papers), Spatial Cognition and Navigation (5 papers), Geographic Information Systems Studies (5 papers), Advanced Text Analysis Techniques (4 papers) and Autism Spectrum Disorder Research (4 papers). The work is most often cited by research in General Dentistry (44 citations), Cognitive Neuroscience (470 citations), Human-Computer Interaction (135 citations), Experimental and Cognitive Psychology (143 citations) and Computer Vision and Pattern Recognition (196 citations). David Peebles has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Fadi Thabtah, Peter Cheng, Ashraf Ayoub, Minhua Ma, Yeshwanth Pulijala, Matthew Pears, Neda Abdelhamid, Richard Cooper, Daniel Bothell and Danielle Ropar. Their work appears in journals such as Cognitive Systems Research, Human Factors The Journal of the Human Factors and Ergonomics Society, International Journal of Oral and Maxillofacial Surgery, Applied Sciences and International Journal of Environmental Research and Public Health.

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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