F. Gregory Ashby

22.5k total citations · 5 hit papers
168 papers, 15.2k citations indexed

About

F. Gregory Ashby is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, F. Gregory Ashby has authored 168 papers receiving a total of 15.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Cognitive Neuroscience, 74 papers in Developmental and Educational Psychology and 27 papers in Artificial Intelligence. Recurrent topics in F. Gregory Ashby's work include Child and Animal Learning Development (73 papers), Neural and Behavioral Psychology Studies (35 papers) and Neural dynamics and brain function (30 papers). F. Gregory Ashby is often cited by papers focused on Child and Animal Learning Development (73 papers), Neural and Behavioral Psychology Studies (35 papers) and Neural dynamics and brain function (30 papers). F. Gregory Ashby collaborates with scholars based in United States, United Kingdom and New Zealand. F. Gregory Ashby's 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 and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Neuroscience and Psychological Bulletin.

In The Last Decade

F. Gregory Ashby

165 papers receiving 14.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A neuropsychological theory of positive affect and its influence on cognition.

1999 1.5k citations F. Gregory Ashby, Alice M. Isen et al. Psychological Review profile →
Stochastic Modeling of Elementary Psychological Processes

1985 1.2k citations F. Gregory Ashby et al. profile →
A neuropsychological theory of multiple systems in category learning.

1998 850 citations F. Gregory Ashby, Leola A. Alfonso-Reese et al. Psychological Review profile →
Human Category Learning

2004 642 citations F. Gregory Ashby, W. Todd Maddox profile →
Varieties of perceptual independence.

1986 574 citations F. Gregory Ashby et al. Psychological Review profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
F. Gregory Ashby United States	56	8.8k	5.5k	3.8k	2.6k	2.0k	168	15.2k
Edward E. Smith United States	72	18.0k 2.1×	7.1k 1.3×	7.0k 1.8×	3.9k 1.5×	3.3k 1.6×	193	31.0k
Richard M. Shiffrin United States	52	14.2k 1.6×	5.6k 1.0×	5.5k 1.5×	4.5k 1.7×	3.9k 1.9×	210	22.9k
David R. Shanks United Kingdom	65	7.2k 0.8×	4.7k 0.8×	1.9k 0.5×	2.2k 0.8×	1.8k 0.9×	257	12.4k
Zoltán Dienes United Kingdom	46	6.0k 0.7×	2.8k 0.5×	2.0k 0.5×	1.9k 0.7×	1.0k 0.5×	225	10.3k
David A. Balota United States	73	14.3k 1.6×	8.6k 1.6×	5.3k 1.4×	1.9k 0.7×	2.6k 1.3×	242	19.0k
Robert M. Nosofsky United States	49	5.6k 0.6×	6.0k 1.1×	3.5k 0.9×	1.6k 0.6×	3.5k 1.7×	141	12.2k
Tim Shallice United Kingdom	74	21.6k 2.5×	6.8k 1.2×	5.2k 1.4×	3.7k 1.4×	1.1k 0.6×	227	27.8k
W. Todd Maddox United States	48	4.3k 0.5×	3.3k 0.6×	1.9k 0.5×	1.2k 0.4×	939 0.5×	184	7.7k
Lawrence W. Barsalou United States	64	9.6k 1.1×	6.9k 1.3×	10.8k 2.8×	10.8k 4.1×	2.5k 1.2×	128	24.6k
Walter Schneider United States	30	8.5k 1.0×	3.1k 0.6×	3.6k 0.9×	2.5k 0.9×	1.0k 0.5×	67	13.7k

Countries citing papers authored by F. Gregory Ashby

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Hélie, Sébastien, et al.. (2021). A neurocomputational theory of how rule-guided behaviors become automatic.. Psychological Review. 128(3). 488–508. 5 indexed citations

Soto, Fabián A. & F. Gregory Ashby. (2019). Novel representations that support rule-based categorization are acquired on-the-fly during category learning. Psychological Research. 83(3). 544–566. 8 indexed citations

Ashby, F. Gregory, et al.. (2019). Dissociations between rule-based and information-integration categorization are not caused by differences in task difficulty. Memory & Cognition. 48(4). 541–552. 21 indexed citations

Soto, Fabián A., et al.. (2018). Linking signal detection theory and encoding models to reveal independent neural representations from neuroimaging data. PLoS Computational Biology. 14(10). e1006470–e1006470. 7 indexed citations

Turner, Benjamin O., Matthew J. Crossley, & F. Gregory Ashby. (2017). Hierarchical control of procedural and declarative category-learning systems. NeuroImage. 150. 150–161. 6 indexed citations

Crossley, Matthew J., et al.. (2016). Trial-by-trial switching between procedural and declarative categorization systems. Psychological Research. 82(2). 371–384. 8 indexed citations

Paul, Erick J. & F. Gregory Ashby. (2013). A neurocomputational theory of how explicit learning bootstraps early procedural learning. Frontiers in Computational Neuroscience. 7. 177–177. 15 indexed citations

Smith, J. David, Mark E. Berg, Robert G. Cook, et al.. (2012). Implicit and explicit categorization: A tale of four species. Neuroscience & Biobehavioral Reviews. 36(10). 2355–2369. 86 indexed citations

Ashby, F. Gregory & Matthew J. Crossley. (2012). Automaticity and multiple memory systems. Wiley Interdisciplinary Reviews Cognitive Science. 3(3). 363–376. 42 indexed citations

10.

Crossley, Matthew J., F. Gregory Ashby, & W. Todd Maddox. (2012). Erasing the engram: The unlearning of procedural skills.. Journal of Experimental Psychology General. 142(3). 710–741. 22 indexed citations

11.

Hélie, Sébastien, et al.. (2010). Automaticity in rule-based and information-integration categorization. Attention Perception & Psychophysics. 72(4). 1013–1031. 64 indexed citations

12.

Ashby, F. Gregory, et al.. (2007). The effects of positive versus negative feedback on information-integration category learning. Perception & Psychophysics. 69(6). 865–878. 40 indexed citations

13.

Ell, Shawn W. & F. Gregory Ashby. (2004). Dynamical trajectories in category learning. Perception & Psychophysics. 66(8). 1318–1340. 3 indexed citations

14.

Ashby, F. Gregory, Alice M. Isen, & And U. Turken. (1999). A neuropsychological theory of positive affect and its influence on cognition.. Psychological Review. 106(3). 529–550. 1491 indexed citations breakdown →

15.

Ashby, F. Gregory & Elliott M. Waldron. (1999). On the nature of implicit categorization. Psychonomic Bulletin & Review. 6(3). 363–378. 148 indexed citations

16.

Ashby, F. Gregory, Leola A. Alfonso-Reese, And U. Turken, & Elliott M. Waldron. (1998). A neuropsychological theory of multiple systems in category learning.. Psychological Review. 105(3). 442–481. 850 indexed citations breakdown →

17.

Ashby, F. Gregory, et al.. (1996). A formal theory of feature binding in object perception.. Psychological Review. 103(1). 165–192. 127 indexed citations

18.

Ashby, F. Gregory, et al.. (1994). Categorization response time with multidimensional stimuli. Perception & Psychophysics. 55(1). 11–27. 54 indexed citations

19.

Isen, Alice M., Thomas E. Nygren, & F. Gregory Ashby. (1988). Influence of positive affect on the subjective utility of gains and losses: It is just not worth the risk.. Journal of Personality and Social Psychology. 55(5). 710–717. 323 indexed citations

20.

Ashby, F. Gregory, et al.. (1988). Decision rules in the perception and categorization of multidimensional stimuli.. Journal of Experimental Psychology Learning Memory and Cognition. 14(1). 33–53. 436 indexed citations

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.

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