Gordon D. A. Brown
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Social Psychology
- Co-authors
- Ian NeathNick ChaterCharles HulmeT. PreeceNelson CowanJ. Scott SaultsJanet I. VousdenTeresa McCormack
- Topics
- Memory Processes and Influences (8 papers)Memory and Neural Mechanisms (4 papers)Neural Networks and Applications (2 papers)
- Journals
- Psychological ReviewJournal of Experimental Psychology Learning Memory and CognitionFrontiers in Psychology
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Gordon D. A. Brown
10 papers receiving 750 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 645
- Experimental and Cognitive Psychology 220
- Developmental and Educational Psychology 202
- Artificial Intelligence 154
- Social Psychology 67
Countries citing papers authored by Gordon D. A. Brown
This map shows the geographic impact of Gordon D. A. Brown'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 Gordon D. A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon D. A. Brown more than expected).
Fields of papers citing papers by Gordon D. A. Brown
This network shows the impact of papers produced by Gordon D. A. Brown. 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 Gordon D. A. Brown. The network helps show where Gordon D. A. Brown may publish in the future.
Co-authorship network of co-authors of Gordon D. A. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon D. A. Brown. A scholar is included among the top collaborators of Gordon D. A. Brown 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 Gordon D. A. Brown. Gordon D. A. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 32 | |
| 3 | 20 | |
| 4 | A temporal ratio model of memory.breakdown → | 576 |
| 5 | BRIEF REPORTS Amnesia, rehearsal, and temporal distinctiveness models of recall | 0 |
| 6 | 26 | |
| 7 | 19 | |
| 8 | 32 | |
| 9 | 0 | |
| 10 | 49 | |
| 11 | Short-term/working memory : a special issue of the International Journal of Psychology | 8 |
| 12 | 1 |
About Gordon D. A. Brown
Gordon D. A. Brown is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Developmental and Educational Psychology, having authored 12 papers that have together received 782 indexed citations. Recurring topics across this work include Memory Processes and Influences (8 papers), Memory and Neural Mechanisms (4 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (645 citations), General Decision Sciences (32 citations) and Experimental and Cognitive Psychology (220 citations). Gordon D. A. Brown has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Ian Neath, Nick Chater, Charles Hulme, T. Preece, Nelson Cowan, J. Scott Saults, Janet I. Vousden, Teresa McCormack, Jill Boucher and Jon Brock. Their work appears in journals such as Psychological Review, 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.