Wayne Leahy

1.4k citations
11 papers · 978 · h-index 11

Impact in

Papers in

Wayne Leahy

11 papers receiving 913 citations

Peers

Wayne Leahy
Comparison fields: 5 of 78
  • Experimental and Cognitive Psychology 648
  • Developmental and Educational Psychology 465
  • Human-Computer Interaction 76
  • Computer Science Applications 63
  • Education 313
Replace Renae Low with:
Renae Low Australia
Sharon Tindall‐Ford Australia
Vincent Hoogerheide Netherlands
Anne Schüler Germany
Krista E. DeLeeuw United States
Alexander Eitel Germany
Nadine Marcus Australia
Christian Kürschner Germany
Babette Park Germany
Julie Campbell United States
Wayne Leahy relative to Renae Low Australia Renae Low's profile →
Citations per field
00.5×3.4×
Renae Low · 1×
Citations per year

Countries citing papers authored by Wayne Leahy

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Leahy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Wayne Leahy, 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 Wayne Leahy Line = papers co-authored together Wayne Leahy links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011219
2 2012186
3 2003120
4 201579
5 201570
6 200565
7 200764
8 201558
9 200455
10 201937
11 201725

About Wayne Leahy

Wayne Leahy is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Education, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 11 papers that have together received 978 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (11 papers), Creativity in Education and Neuroscience (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Science Education and Pedagogy (3 papers), Innovative Teaching and Learning Methods (2 papers), Memory Processes and Influences (1 paper), Advanced Text Analysis Techniques (1 paper) and Educational Games and Gamification (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (648 citations), Developmental and Educational Psychology (465 citations), Human-Computer Interaction (76 citations), Computer Science Applications (63 citations) and Education (313 citations). Wayne Leahy has collaborated with scholars based in Australia and Netherlands. Frequent co-authors include John Sweller, Anna Wong, Nadine Marcus, Paul Chandler, José Hanham, Paul Ginns, Steven J. Howard, Sharon Tindall‐Ford, Fred Paas and Shirley Agostinho. Their work appears in journals such as Applied Cognitive Psychology, Educational Psychology Review, Instructional Science, Learning and Instruction and Journal of Experimental Psychology Applied.

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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