Aryn Pyke

581 citations
23 papers · 368 · h-index 9

Impact in

Papers in

Aryn Pyke

20 papers receiving 350 citations

Peers

Aryn Pyke
Comparison fields: 5 of 52
  • Statistics and Probability 241
  • Developmental and Educational Psychology 101
  • Education 231
  • Experimental and Cognitive Psychology 52
  • Applied Mathematics 36
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Citations per year

Countries citing papers authored by Aryn Pyke

Since Specialization
Citations

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

Fields of papers citing papers by Aryn Pyke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Aryn Pyke, 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 Aryn Pyke Line = papers co-authored together Aryn Pyke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012210
2 201750
3 201116
4 201616
5 20179
6 20149
7 20219
8 20148
9
Null Complements: Licensed by Syntax or by Semantics-Pragmatics?
20058
10 20237
11 20216
12
An Account of Associative Learning in Memory Recall.
20154
13
How Readers Retrieve Referents for Nouns in Real Time: A Memory-based Model of Context Effects on Referent Accessibility
20073
14 20213
15
Why Do The Math? The Impact of Calculator Use on Participants' Actual and Perceived Retention of Arithmetic Facts
20082
16
The Conscious-Subconscious Interface: An Emerging Metaphor in HCI
20012
17 20182
18
Putting Two and Two Together: Declines in Arithmetic Fluency among Young Canadian Adults, 1993 to 2005. Technical Report 2014-01
20142
19
On-line Reference Assignment for Anaphoric and Non-Anaphoric Nouns: A Unified, Memory-Based Model in ACT-R
20071
20 20231

About Aryn Pyke

Aryn Pyke is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Cognitive Neuroscience, Statistics and Probability and Information Systems, having authored 23 papers that have together received 368 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (6 papers), Child and Animal Learning Development (5 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Information and Cyber Security (4 papers), Visual and Cognitive Learning Processes (3 papers), Cybercrime and Law Enforcement Studies (3 papers), Mathematics Education and Teaching Techniques (2 papers) and Memory Processes and Influences (2 papers). The work is most often cited by research in Statistics and Probability (241 citations), Developmental and Educational Psychology (101 citations), Education (231 citations), Experimental and Cognitive Psychology (52 citations) and Applied Mathematics (36 citations). Aryn Pyke has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Robert S. Siegler, David W. Braithwaite, John R. Anderson, Jon M. Fincham, Jo‐Anne LeFevre, Ericka Rovira, Robert Thomson, Robert West, Francesco Di Nocera and Robert J. Stainton. Their work appears in journals such as Cyberpsychology Journal of Psychosocial Research on Cyberspace, Psychological Review, NeuroImage, Journal of Educational Psychology and Cognitive Affective & Behavioral Neuroscience.

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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