Matthew J. Dry
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Developmental and Educational Psychology top 10%
- Social Psychology top 10%
- Co-authors
- Michael LeeGert StormsDouglas VickersMark SteyversDeborah TurnbullSteven VerheyenNicholas R. BurnsJason M. White
- Topics
- Child and Animal Learning Development (6 papers)Resilience and Mental Health (4 papers)Categorization, perception, and language (4 papers)
- Cited by
- General Decision SciencesDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Journals
- PLoS ONEJournal of Experimental Psychology Learning Memory and CognitionFrontiers in Psychology
- Partner nations
- AustraliaBelgiumUnited States
In The Last Decade
Matthew J. Dry
34 papers receiving 740 citations
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 178
- Cognitive Neuroscience 149
- Experimental and Cognitive Psychology 134
- Developmental and Educational Psychology 131
- Social Psychology 93
Countries citing papers authored by Matthew J. Dry
This map shows the geographic impact of Matthew J. Dry'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 Matthew J. Dry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Dry more than expected).
Fields of papers citing papers by Matthew J. Dry
This network shows the impact of papers produced by Matthew J. Dry. 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 Matthew J. Dry. The network helps show where Matthew J. Dry may publish in the future.
Co-authorship network of co-authors of Matthew J. Dry
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Dry. A scholar is included among the top collaborators of Matthew J. Dry 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 Matthew J. Dry. Matthew J. Dry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 20 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 28 | |
| 6 | 7 | |
| 7 | 96 | |
| 8 | 13 | |
| 9 | 37 | |
| 10 | 7 | |
| 11 | Wisdom of the Crowds in Minimum Spanning Tree Problems | 7 |
| 12 | 18 | |
| 13 | 2 | |
| 14 | A new investigation of the nature of abstract categories | 2 |
| 15 | The perceptual organization of point constellations | 13 |
| 16 | 102 | |
| 17 | 18 | |
| 18 | 21 | |
| 19 | 34 | |
| 20 | 53 |
About Matthew J. Dry
Matthew J. Dry is a scholar working on General Decision Sciences, Experimental and Cognitive Psychology and Applied Psychology, having authored 34 papers that have together received 774 indexed citations. Recurring topics across this work include Child and Animal Learning Development (6 papers), Resilience and Mental Health (4 papers) and Categorization, perception, and language (4 papers). The work is most often cited by research in General Decision Sciences (43 citations), Developmental and Educational Psychology (131 citations) and Experimental and Cognitive Psychology (134 citations). Matthew J. Dry has collaborated with scholars based in Australia, Belgium and United States. Frequent co-authors include Michael Lee, Gert Storms, Douglas Vickers, Mark Steyvers, Deborah Turnbull, Steven Verheyen, Nicholas R. Burns, Jason M. White, Ted Nettelbeck and Simon De Deyne. Their work appears in journals such as PLoS ONE, Journal of Experimental Psychology Learning Memory and Cognition and Frontiers in Psychology.
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.