David W. Braithwaite

781 total citations
33 papers, 483 citations indexed

About

David W. Braithwaite is a scholar working on Education, Statistics and Probability and Applied Mathematics. According to data from OpenAlex, David W. Braithwaite has authored 33 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Education, 23 papers in Statistics and Probability and 8 papers in Applied Mathematics. Recurrent topics in David W. Braithwaite's work include Cognitive and developmental aspects of mathematical skills (22 papers), Mathematics Education and Teaching Techniques (21 papers) and Mathematics Education and Pedagogy (8 papers). David W. Braithwaite is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (22 papers), Mathematics Education and Teaching Techniques (21 papers) and Mathematics Education and Pedagogy (8 papers). David W. Braithwaite collaborates with scholars based in United States, China and South Korea. David W. Braithwaite's co-authors include Robert S. Siegler, Robert L. Goldstone, Tian Jing, Aryn Pyke, Jake McMullen, David Landy, Han L. J. van der Maas, Michelle Hurst, Benjamin Motz and Joshua R. de Leeuw and has published in prestigious journals such as PLoS ONE, Psychological Review and Annual Review of Psychology.

In The Last Decade

David W. Braithwaite

30 papers receiving 469 citations

Peers

David W. Braithwaite
Comparison fields: 5 of 68
  • Education 340
  • Statistics and Probability 318
  • Developmental and Educational Psychology 175
  • Experimental and Cognitive Psychology 95
  • Artificial Intelligence 61
Replace Aryn Pyke with:
Aryn Pyke United States
Melissa DeWolf United States
Mollie MacGregor Australia
Annie Selden United States
Michelle Zandieh United States
Megan Wawro United States
Marthe Straatemeier Netherlands
Diane J. Briars United States
Kathleen Cramer United States
Maria E. Magone United States
Aryn Pyke United States View profile →
Citations per field, relative to David W. Braithwaite
David W. Braithwaite · 1×
Citations per year, relative to David W. Braithwaite
David W. Braithwaite · 1×

Countries citing papers authored by David W. Braithwaite

Since Specialization
Citations

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

Fields of papers citing papers by David W. Braithwaite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Braithwaite

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Braithwaite. A scholar is included among the top collaborators of David W. Braithwaite 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 David W. Braithwaite. David W. Braithwaite 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 0
2 0
3 1
4 9
5 1
6 4
7 3
8 12
9 25
10 7
11 32
12 14
13 19
14 3
15 27
16 16
17
Effectiveness of Learner-Regulated Study Sequence: An in-vivo study in Introductory Psychology course.
0
18
Benefits of Graphical and Symbolic Representations for Learning and Transfer of Statistical Concepts
1
19 8
20 29

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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