David A. Caulton
Impact in
- Cognitive Neuroscience top 5%
- Memory Processes and Influences
- Motor Control and Adaptation
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
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- Child and Animal Learning Development
Papers in
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- Memory Processes and Influences 4
- Memory and Neural Mechanisms 2
- Motor Control and Adaptation 1
- Co-authors
- Douglas L. Hintzman (5 shared papers)Peggy J. Jennings (1 shared paper)Steven K. Jones (1 shared paper)Asher Cohen (1 shared paper)Steven W. Keele (1 shared paper)Daniel J. Levitin (1 shared paper)Tim Curran (3 shared papers)
- Journals
- Journal of Experimental Psychology Learning Memory and Cognition (2 papers)Journal of Memory and Language (1 paper)Memory & Cognition (1 paper)Behaviour and Information Technology (1 paper)Psychological Science (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
David A. Caulton
7 papers receiving 441 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 402
- Developmental and Educational Psychology 129
- Social Psychology 195
- Human-Computer Interaction 33
- Experimental and Cognitive Psychology 40
Countries citing papers authored by David A. Caulton
This map shows the geographic impact of David A. Caulton'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 David A. Caulton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Caulton more than expected).
Fields of papers citing papers by David A. Caulton
This network shows the impact of papers produced by David A. Caulton. 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 David A. Caulton. The network helps show where David A. Caulton may publish in the future.
Co-authors
The 7 scholars most cited alongside David A. Caulton, 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 | 1995 | 177 | |
| 2 | 1998 | 97 | |
| 3 | 1997 | 65 | |
| 4 | 2001 | 58 | |
| 5 | 1994 | 45 | |
| 6 | 1994 | 24 | |
| 7 | 1995 | 12 | |
| 8 | 2016 | 0 | |
| 9 | EAP and subject specialist academic writing feedback collaboration | 2019 | 0 |
About David A. Caulton
David A. Caulton is a scholar working on Cognitive Neuroscience, Social Psychology, Information Systems, Artificial Intelligence and Literature and Literary Theory, having authored 9 papers that have together received 478 indexed citations. Recurring topics across this work include Memory Processes and Influences (4 papers), Memory and Neural Mechanisms (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Second Language Learning and Teaching (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Radiology practices and education (1 paper), Information Retrieval and Search Behavior (1 paper) and Motor Control and Adaptation (1 paper). The work is most often cited by research in Cognitive Neuroscience (402 citations), Developmental and Educational Psychology (129 citations), Social Psychology (195 citations), Human-Computer Interaction (33 citations) and Experimental and Cognitive Psychology (40 citations). David A. Caulton has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Douglas L. Hintzman, Peggy J. Jennings, Steven K. Jones, Asher Cohen, Steven W. Keele, Daniel J. Levitin and Tim Curran. Their work appears in journals such as Journal of Experimental Psychology Learning Memory and Cognition, Journal of Memory and Language, Memory & Cognition, Behaviour and Information Technology and Psychological Science.
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.