Daniel B. Kaye

690 citations
24 papers · 571 · h-index 12

Impact in

Papers in

Daniel B. Kaye

24 papers receiving 503 citations

Peers

Daniel B. Kaye
Comparison fields: 5 of 79
  • Developmental and Educational Psychology 298
  • Statistics and Probability 147
  • Experimental and Cognitive Psychology 204
  • Cognitive Neuroscience 160
  • Neuropsychology and Physiological Psychology 8
Replace Donna-Lynn Forrest-Pressley with:
Donna-Lynn Forrest-Pressley Canada
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Liu Fan United States
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James I. Brown United States
John B. Cooney United States
S. Farnham-Diggory United States
Patricia A. deWinstanley United States
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Citations per year

Countries citing papers authored by Daniel B. Kaye

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Kaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Kaye. 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 Daniel B. Kaye. The network helps show where Daniel B. Kaye may publish in the future.

Co-authors

The 12 scholars most cited alongside Daniel B. Kaye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel B. Kaye Line = papers co-authored together Daniel B. Kaye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994225
2 198652
3 198938
4 198637
5 198131
6 198329
7 198526
8 199023
9 198019
10 198217
11 198012
12 199012
13 198011
14 198710
15 19809
16 19775
17 19874
18 19774
19 19842
20 19841

About Daniel B. Kaye

Daniel B. Kaye is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Experimental and Cognitive Psychology, Education and Cognitive Neuroscience, having authored 24 papers that have together received 571 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (9 papers), Reading and Literacy Development (7 papers), Child and Animal Learning Development (3 papers), Disability Education and Employment (2 papers), Cognitive Abilities and Testing (2 papers), Neural and Behavioral Psychology Studies (2 papers), Early Childhood Education and Development (2 papers) and Visual and Cognitive Learning Processes (2 papers). The work is most often cited by research in Developmental and Educational Psychology (298 citations), Statistics and Probability (147 citations), Experimental and Cognitive Psychology (204 citations), Cognitive Neuroscience (160 citations) and Neuropsychology and Physiological Psychology (8 citations). Daniel B. Kaye has collaborated with scholars based in United States. Frequent co-authors include Patricia A. deWinstanley, Patricia M. Greenfield, Scott W. Brown, Ellen Ruskin, Vernon C. Hall, William J. Hoyer, Dana J. Plude, N. R. Schultz, J. Dineen and Robert J. Sternberg. Their work appears in journals such as Journal of Educational Psychology, Journal of Psychoeducational Assessment, Memory & Cognition, Journal of Consulting and Clinical Psychology and Intelligence.

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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