David Peebles

1.8k total citations
36 papers, 1.0k citations indexed

About

David Peebles is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Peebles has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Peebles's work include Dementia and Cognitive Impairment Research (7 papers), Data Visualization and Analytics (6 papers) and Advanced Text Analysis Techniques (5 papers). David Peebles is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Data Visualization and Analytics (6 papers) and Advanced Text Analysis Techniques (5 papers). David Peebles collaborates with scholars based in United Kingdom, New Zealand and Australia. David Peebles's co-authors include Fadi Thabtah, Peter Cheng, Yeshwanth Pulijala, Minhua Ma, Matthew Pears, Ashraf Ayoub, Neda Abdelhamid, Daniel Bothell, Danielle Ropar and Richard Cooper and has published in prestigious journals such as Journal of Autism and Developmental Disorders, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

David Peebles

36 papers receiving 999 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Peebles United Kingdom 15 418 189 168 136 134 36 1.0k
Trafton Drew United States 22 1.1k 2.5× 187 1.0× 244 1.5× 171 1.3× 74 0.6× 83 2.1k
Irene Alice Chicchi Giglioli Spain 15 365 0.9× 291 1.5× 52 0.3× 532 3.9× 95 0.7× 49 1.4k
Evdokimos Konstantinidis Greece 20 394 0.9× 174 0.9× 103 0.6× 170 1.3× 22 0.2× 89 1.2k
Róisín McNaney United Kingdom 21 166 0.4× 135 0.7× 92 0.5× 374 2.8× 31 0.2× 72 1.2k
Monique A. S. Lexis Netherlands 19 301 0.7× 93 0.5× 58 0.3× 37 0.3× 60 0.4× 39 1.1k
Andrea Kleinsmith United States 12 246 0.6× 287 1.5× 99 0.6× 214 1.6× 48 0.4× 38 992
Madeleine Keehner United States 13 302 0.7× 246 1.3× 49 0.3× 162 1.2× 172 1.3× 25 1.1k
Cecília Sik‐Lányi Hungary 16 167 0.4× 172 0.9× 70 0.4× 193 1.4× 69 0.5× 80 844
Siné McDougall United Kingdom 18 395 0.9× 64 0.3× 72 0.4× 186 1.4× 74 0.6× 48 1.3k
Robert Dickerson United States 16 78 0.2× 221 1.2× 133 0.8× 237 1.7× 48 0.4× 36 1.1k

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-authorship network of co-authors of David Peebles

This figure shows the co-authorship network connecting the top 25 collaborators of David Peebles. A scholar is included among the top collaborators of David Peebles 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 David Peebles. David Peebles 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
1.
Thabtah, Fadi & David Peebles. (2023). Assessment for Alzheimer’s Disease Advancement Using Classification Models with Rules. Applied Sciences. 13(22). 12152–12152. 2 indexed citations
2.
Thabtah, Fadi, et al.. (2020). Dementia medical screening using mobile applications: A systematic review with a new mapping model. Journal of Biomedical Informatics. 111. 103573–103573. 35 indexed citations
3.
Thabtah, Fadi & David Peebles. (2019). A new machine learning model based on induction of rules for autism detection. Health Informatics Journal. 26(1). 264–286. 167 indexed citations
4.
Peebles, David. (2019). Modelling alternative strategies for mental rotation. Huddersfield Research Portal (University of Huddersfield). 1 indexed citations
5.
Thabtah, Fadi, Neda Abdelhamid, & David Peebles. (2019). A machine learning autism classification based on logistic regression analysis. Health Information Science and Systems. 7(1). 12–12. 89 indexed citations
6.
Pulijala, Yeshwanth, Minhua Ma, Matthew Pears, David Peebles, & Ashraf Ayoub. (2018). An innovative virtual reality training tool for orthognathic surgery. International Journal of Oral and Maxillofacial Surgery. 47(9). 1199–1205. 82 indexed citations
7.
Pulijala, Yeshwanth, Minhua Ma, Matthew Pears, David Peebles, & Ashraf Ayoub. (2017). Effectiveness of Immersive Virtual Reality in Surgical Training—A Randomized Control Trial. Journal of Oral and Maxillofacial Surgery. 76(5). 1065–1072. 174 indexed citations
8.
Peebles, David, et al.. (2014). A model of object location memory. Cognitive Science. 36(36). 3 indexed citations
9.
Peebles, David, et al.. (2013). Reactivity effects of concurrent verbalisation during a graph comprehension task. Huddersfield Research Portal (University of Huddersfield). 35(35). 1 indexed citations
10.
Peebles, David, et al.. (2011). The different effects of thinking aloud and writing on graph comprehension. Huddersfield Research Portal (University of Huddersfield). 33(33). 2 indexed citations
11.
Davies, Clare & David Peebles. (2010). Spaces or Scenes: Map-based Orientation in Urban Environments. Spatial Cognition and Computation. 10(2-3). 135–156. 18 indexed citations
12.
Peebles, David, et al.. (2009). Differences in comprehensibility between three-variable bar and line graphs. University of Huddersfield Repository (University of Huddersfield). 31(31). 8 indexed citations
13.
Howes, Andrew, David Peebles, & Richard Cooper. (2009). Proceedings of the 9th International Conference on Cognitive Modeling – ICCM2009. Manchester, UK.. 2 indexed citations
14.
Peebles, David. (2008). The effect of emergent features on judgments of quantity in configural and separable displays.. Journal of Experimental Psychology Applied. 14(2). 85–100. 12 indexed citations
15.
Davies, Clare & David Peebles. (2007). Strategies for Orientation: The Role of 3D Landmark Salience and Map Alignment. eScholarship (California Digital Library). 29(29). 2 indexed citations
16.
Davies, Clare, et al.. (2006). Isovists for orientation: can space syntax help us predict directional confusion?. University of Huddersfield Repository (University of Huddersfield). 5 indexed citations
17.
Peebles, David & Daniel Bothell. (2004). Modelling performance in the sustained attention to response task. University of Huddersfield Repository (University of Huddersfield). 231–236. 42 indexed citations
18.
Peebles, David. (2004). Distortions of perceptual judgement in diagrammatic representations. University of Huddersfield Repository (University of Huddersfield). 26(26). 2 indexed citations
19.
Peebles, David & Peter Cheng. (2001). Graph-based reasoning: from task analysis to cognitive explanation. eScholarship (California Digital Library). 23(23). 12 indexed citations
20.
Shadbolt, N. R., et al.. (1999). Compiling Ontologies into Structured Views and Interviews: The Design of a Graph Drawing Tool for Knowledge Elicitation. ePrints Soton (University of Southampton). 1 indexed citations

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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