Will Reader
Impact in
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- Innovative Teaching and Learning Methods
- Educational Strategies and Epistemologies
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- Evolutionary Psychology and Human Behavior
- Visual and Cognitive Learning Processes
Papers in
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- Evolutionary Game Theory and Cooperation 8
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- Evolutionary Psychology and Human Behavior 7
- Co-authors
- Ν. G. L. Hammond (2 shared papers)Lance Workman (14 shared papers)Jean McKendree (2 shared papers)Stephen J. Payne (1 shared paper)
- Journals
- Evolutionary Psychology (9 papers)International Journal of Human-Computer Studies (1 paper)interactions (1 paper)Computers & Education (1 paper)Psychology Learning & Teaching (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Will Reader
16 papers receiving 230 citations
Peers
Comparison fields: 5 of 68
- Developmental and Educational Psychology 107
- Experimental and Cognitive Psychology 77
- General Psychology 6
- Computer Science Applications 24
- Human-Computer Interaction 17
Countries citing papers authored by Will Reader
This map shows the geographic impact of Will Reader'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 Will Reader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Reader more than expected).
Fields of papers citing papers by Will Reader
This network shows the impact of papers produced by Will Reader. 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 Will Reader. The network helps show where Will Reader may publish in the future.
Co-authors
The 4 scholars most cited alongside Will Reader, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 101 | |
| 2 | 2004 | 37 | |
| 3 | 2014 | 28 | |
| 4 | 2011 | 26 | |
| 5 | 1995 | 22 | |
| 6 | 1995 | 11 | |
| 7 | 1994 | 10 | |
| 8 | 2004 | 10 | |
| 9 | 2004 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2007 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2004 | 1 | |
| 15 | 2004 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2018 | 0 | |
| 20 | 2004 | 0 |
About Will Reader
Will Reader is a scholar working on Sociology and Political Science, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Social Psychology and History and Philosophy of Science, having authored 20 papers that have together received 270 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (8 papers), Evolutionary Psychology and Human Behavior (7 papers), Neuroendocrine regulation and behavior (2 papers), Evolution and Science Education (2 papers), Cultural Differences and Values (2 papers), Innovative Teaching and Learning Methods (2 papers), Behavioral Health and Interventions (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Developmental and Educational Psychology (107 citations), Experimental and Cognitive Psychology (77 citations), General Psychology (6 citations), Computer Science Applications (24 citations) and Human-Computer Interaction (17 citations). Will Reader has collaborated with scholars based in United Kingdom. Frequent co-authors include Ν. G. L. Hammond, Lance Workman, Jean McKendree and Stephen J. Payne. Their work appears in journals such as Evolutionary Psychology, International Journal of Human-Computer Studies, interactions, Computers & Education and Psychology Learning & Teaching.
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.