W. K. Estes

12.9k total citations
130 papers, 6.6k citations indexed

About

W. K. Estes is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, W. K. Estes has authored 130 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 27 papers in Artificial Intelligence and 19 papers in Developmental and Educational Psychology. Recurrent topics in W. K. Estes's work include Child and Animal Learning Development (13 papers), Memory Processes and Influences (9 papers) and Visual perception and processing mechanisms (8 papers). W. K. Estes is often cited by papers focused on Child and Animal Learning Development (13 papers), Memory Processes and Influences (9 papers) and Visual perception and processing mechanisms (8 papers). W. K. Estes collaborates with scholars based in United States. W. K. Estes's co-authors include Catherine L. Lee, C. J. Burke, H. A. Taylor, W. Todd Maddox, James H. Straughan, Robert R. Bush, Matthew L. Stone, David Wessel, Gordon A. Allen and Nicholas G. Hatsopoulos and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.

In The Last Decade

W. K. Estes

120 papers receiving 5.6k citations

Peers

W. K. Estes
Comparison fields: 5 of 169
  • Cognitive Neuroscience 3.4k
  • Developmental and Educational Psychology 2.2k
  • Experimental and Cognitive Psychology 1.5k
  • Artificial Intelligence 1.4k
  • Social Psychology 848
Replace Lyle E. Bourne with:
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Lyle E. Bourne United States View profile →
Citations per field, relative to W. K. Estes
W. K. Estes · 1×
Citations per year, relative to W. K. Estes
W. K. Estes · 1×

Countries citing papers authored by W. K. Estes

Since Specialization
Citations

This map shows the geographic impact of W. K. Estes'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 W. K. Estes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. K. Estes more than expected).

Fields of papers citing papers by W. K. Estes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. K. Estes. 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 W. K. Estes. The network helps show where W. K. Estes may publish in the future.

Co-authorship network of co-authors of W. K. Estes

This figure shows the co-authorship network connecting the top 25 collaborators of W. K. Estes. A scholar is included among the top collaborators of W. K. Estes 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 W. K. Estes. W. K. Estes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 119
4 69
5 120
6
From learning theory to connectionist theory
13
7
From learning processes to cognitive processes
24
8 132
9 5
10 139
11
Human Behavior in Mathematical Perspective
2
12 27
13 73
14 49
15 53
16 5
17 31
18 14
19
FOUNDATIONS OF STATISTICAL LEARNING THEORY. II. THE STIMULUS SAMPLING MODEL
9
20
FOUNDATIONS OF STATISTICAL LEARNING THEORY. I. THE LINEAR MODEL FOR SIMPLE LEARNING
3

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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