Danielle Dupuis

1.1k citations
40 papers · 707 · h-index 15

Impact in

Papers in

    • Mathematics Education and Teaching Techniques 10
    • School Choice and Performance 6
    • Early Childhood Education and Development 3
    • Cognitive and developmental aspects of mathematical skills 14

Danielle Dupuis

32 papers receiving 652 citations

Peers

Danielle Dupuis
Comparison fields: 5 of 88
  • Statistics and Probability 291
  • Developmental and Educational Psychology 214
  • Education 383
  • Social Psychology 152
  • Developmental Biology 13
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Citations per year

Countries citing papers authored by Danielle Dupuis

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Dupuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Dupuis. 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 Danielle Dupuis. The network helps show where Danielle Dupuis may publish in the future.

Co-authors

The 25 scholars most cited alongside Danielle Dupuis, 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 Danielle Dupuis Line = papers co-authored together Danielle Dupuis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006183
2 2008107
3 201345
4 201040
5 201334
6 201633
7 201430
8 201522
9 201121
10 201020
11 201219
12
A Randomized Trial of the Effects of Schema-Based Instruction on Proportional Problem-Solving for Students with Mathematics Problem-Solving Difficulties.
201619
13 201416
14 201015
15 201114
16 201511
17 201010
18 201610
19 20089
20 20128

About Danielle Dupuis

Danielle Dupuis is a scholar working on Education, Statistics and Probability, Developmental and Educational Psychology, Modeling and Simulation and Social Psychology, having authored 40 papers that have together received 707 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (14 papers), Mathematics Education and Teaching Techniques (10 papers), Mathematics Education and Programs (7 papers), School Choice and Performance (6 papers), Behavioral and Psychological Studies (4 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Bullying, Victimization, and Aggression (4 papers) and Early Childhood Education and Development (3 papers). The work is most often cited by research in Statistics and Probability (291 citations), Developmental and Educational Psychology (214 citations), Education (383 citations), Social Psychology (152 citations) and Developmental Biology (13 citations). Danielle Dupuis has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Anthony D. Pellegrini, Peter K. Smith, Asha K. Jitendra, Michael R. Harwell, Michael C. Rodriguez, Jon R. Star, Andrew Zieffler, Joan Garfield, Cary J. Roseth and Amanuel Medhanie. Their work appears in journals such as Journal of Learning Disabilities, Journal for Research in Mathematics Education, Child Abuse & Neglect, Social Development and Education and Treatment of Children.

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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