John Patterson

2.1k total citations
85 papers, 1.4k citations indexed

About

John Patterson is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, John Patterson has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Experimental and Cognitive Psychology and 9 papers in Developmental and Educational Psychology. Recurrent topics in John Patterson's work include Creativity in Education and Neuroscience (7 papers), Olfactory and Sensory Function Studies (7 papers) and Usability and User Interface Design (6 papers). John Patterson is often cited by papers focused on Creativity in Education and Neuroscience (7 papers), Olfactory and Sensory Function Studies (7 papers) and Usability and User Interface Design (6 papers). John Patterson collaborates with scholars based in United States, Australia and United Kingdom. John Patterson's co-authors include Li-Te Cheng, Steven Ross, Susanne Hupfer, Cleidson R. B. de Souza, David Redmiles, David R. Millen, Baxter F. Womack, Roger E. Beaty, J.B. Finean and J. A. Blain and has published in prestigious journals such as Journal of the American Chemical Society, Annals of Internal Medicine and Applied and Environmental Microbiology.

In The Last Decade

John Patterson

82 papers receiving 1.3k citations

Peers

John Patterson
Comparison fields: 5 of 165
  • Information Systems 353
  • Artificial Intelligence 219
  • Computer Science Applications 154
  • Molecular Biology 144
  • Human-Computer Interaction 141
Replace Jin-Hyuk Hong with:
Jin-Hyuk Hong South Korea
José Bravo Spain
Shen Li China
James Law United Kingdom
Daniel Robbins United States
Andy M. Connor New Zealand
Roman Bednarik Finland
Philip Gray United Kingdom
Chien‐Ming Huang United States
Maria De Marsico Italy
Jin-Hyuk Hong South Korea View profile →
Citations per field, relative to John Patterson
John Patterson · 1×
Citations per year, relative to John Patterson
John Patterson · 1×

Countries citing papers authored by John Patterson

Since Specialization
Citations

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

Fields of papers citing papers by John Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of John Patterson. A scholar is included among the top collaborators of John Patterson 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 John Patterson. John Patterson 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
# Work Indexed citations
1 1
2 1
3 12
4
Family Resemblance in Unsupervised Categorization: A Dissociation Between Production and Evaluation.
0
5 5
6 12
7
Semi-supervised learning: A role for similarity in generalization-based learning of relational categories.
3
8 7
9
Performance Pressure and Comparison in Relational Category Learning.
2
10
Learning mode and comparison in relational category learning
2
11
Engaging the comparison engine: Implications for relational category learning and transfer
1
12
Optimizing the category construction task to promote learning and transfer of knowledge in classroom instruction
0
13 10
14
An ocular measure of drowsiness and the eeg: changes with sleep deprivation
1
15 14
16 1
17 65
18 11
19 37
20 6

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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