F. Gregory Ashby
- Cognitive Neuroscience top 0.1%
- Developmental and Educational Psychology top 0.05%
- Experimental and Cognitive Psychology top 0.1%
- Social Psychology top 0.2%
- Artificial Intelligence top 0.5%
- Co-authors
- W. Todd MaddoxJames T. TownsendAnd U. TurkenAlice M. IsenElliott M. WaldronJoan Gay SnodgrassLeola A. Alfonso-ReeseShawn W. Ell
- Topics
- Child and Animal Learning Development (73 papers)Neural and Behavioral Psychology Studies (35 papers)Neural dynamics and brain function (30 papers)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
F. Gregory Ashby
165 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Cognitive Neuroscience 8.8k
- Developmental and Educational Psychology 5.5k
- Experimental and Cognitive Psychology 3.8k
- Social Psychology 2.6k
- Artificial Intelligence 2.0k
Countries citing papers authored by F. Gregory Ashby
This map shows the geographic impact of F. Gregory Ashby'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 F. Gregory Ashby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Gregory Ashby more than expected).
Fields of papers citing papers by F. Gregory Ashby
This network shows the impact of papers produced by F. Gregory Ashby. 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 F. Gregory Ashby. The network helps show where F. Gregory Ashby may publish in the future.
Co-authorship network of co-authors of F. Gregory Ashby
This figure shows the co-authorship network connecting the top 25 collaborators of F. Gregory Ashby. A scholar is included among the top collaborators of F. Gregory Ashby 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 F. Gregory Ashby. F. Gregory Ashby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 21 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 86 | |
| 9 | 42 | |
| 10 | 22 | |
| 11 | 64 | |
| 12 | 40 | |
| 13 | 3 | |
| 14 | A neuropsychological theory of positive affect and its influence on cognition.breakdown → | 1491 |
| 15 | 148 | |
| 16 | A neuropsychological theory of multiple systems in category learning.breakdown → | 850 |
| 17 | 127 | |
| 18 | 54 | |
| 19 | 323 | |
| 20 | 436 |
About F. Gregory Ashby
F. Gregory Ashby is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and General Decision Sciences, having authored 168 papers that have together received 15.2k indexed citations. Recurring topics across this work include Child and Animal Learning Development (73 papers), Neural and Behavioral Psychology Studies (35 papers) and Neural dynamics and brain function (30 papers). The work is most often cited by research in General Decision Sciences (938 citations), Cognitive Neuroscience (8.8k citations) and Developmental and Educational Psychology (5.5k citations). F. Gregory Ashby has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include W. Todd Maddox, James T. Townsend, And U. Turken, Alice M. Isen, Elliott M. Waldron, Joan Gay Snodgrass, Leola A. Alfonso-Reese, Shawn W. Ell, Benjamin O. Turner and Thomas E. Nygren. Their work appears in journals such as Journal of Personality and Social Psychology, Journal of Neuroscience and Psychological Bulletin.
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.