Dana Miller‐Cotto

837 total citations
30 papers, 459 citations indexed

About

Dana Miller‐Cotto is a scholar working on Education, Experimental and Cognitive Psychology and Statistics and Probability. According to data from OpenAlex, Dana Miller‐Cotto has authored 30 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Education, 15 papers in Experimental and Cognitive Psychology and 12 papers in Statistics and Probability. Recurrent topics in Dana Miller‐Cotto's work include Early Childhood Education and Development (12 papers), Cognitive and developmental aspects of mathematical skills (12 papers) and Visual and Cognitive Learning Processes (6 papers). Dana Miller‐Cotto is often cited by papers focused on Early Childhood Education and Development (12 papers), Cognitive and developmental aspects of mathematical skills (12 papers) and Visual and Cognitive Learning Processes (6 papers). Dana Miller‐Cotto collaborates with scholars based in United States, Germany and United Kingdom. Dana Miller‐Cotto's co-authors include James P. Byrnes, Leann V. Smith, Aubrey H. Wang, Christina Barbieri, Andrew Ribner, Ming‐Te Wang, James P. Huguley, Julie L. Booth, Nancy C. Jordan and Nora S. Newcombe and has published in prestigious journals such as Child Development, Journal of Educational Psychology and Developmental Psychology.

In The Last Decade

Dana Miller‐Cotto

25 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Miller‐Cotto United States 13 297 133 122 116 108 30 459
Piia Maria Björn Finland 14 352 1.2× 180 1.4× 126 1.0× 122 1.1× 35 0.3× 29 555
Nelly Tournaki United States 10 339 1.1× 137 1.0× 92 0.8× 53 0.5× 43 0.4× 22 468
Kelly Trezise Australia 7 156 0.5× 91 0.7× 83 0.7× 127 1.1× 26 0.2× 13 363
Damien C. Cormier Canada 13 197 0.7× 269 2.0× 116 1.0× 96 0.8× 17 0.2× 45 514
Gabrielle Garon‐Carrier Canada 9 210 0.7× 61 0.5× 36 0.3× 94 0.8× 79 0.7× 36 400
Marjorie W. Schaeffer United States 7 358 1.2× 109 0.8× 171 1.4× 173 1.5× 32 0.3× 14 547
Lori Y. Peterson United States 6 244 0.8× 84 0.6× 102 0.8× 40 0.3× 37 0.3× 7 363
Giulia A. Borriello United States 8 189 0.6× 76 0.6× 75 0.6× 86 0.7× 33 0.3× 15 328
Matthew Quirk United States 15 371 1.2× 273 2.1× 57 0.5× 64 0.6× 36 0.3× 37 522
Rebecca Merkley Canada 12 260 0.9× 201 1.5× 261 2.1× 100 0.9× 27 0.3× 31 489

Countries citing papers authored by Dana Miller‐Cotto

Since Specialization
Citations

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

Fields of papers citing papers by Dana Miller‐Cotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Miller‐Cotto. 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 Dana Miller‐Cotto. The network helps show where Dana Miller‐Cotto may publish in the future.

Co-authorship network of co-authors of Dana Miller‐Cotto

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Miller‐Cotto. A scholar is included among the top collaborators of Dana Miller‐Cotto 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 Dana Miller‐Cotto. Dana Miller‐Cotto 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
1.
Miller‐Cotto, Dana, et al.. (2025). Variability in math achievement growth among students with early math learning difficulties and the role of school supports.. Journal of Educational Psychology. 117(7). 1054–1076. 3 indexed citations
2.
Miller‐Cotto, Dana, et al.. (2025). Understanding working memory as a facilitator of math problem‐solving: Offloading as a potential strategy. British Journal of Educational Psychology. 95(3). 871–887. 1 indexed citations
3.
4.
Scalise, Nicole R., Jessica R. Gladstone, & Dana Miller‐Cotto. (2025). Maximizing math achievement: Strategies from the science of learning. Journal of Experimental Child Psychology. 257. 106281–106281.
5.
6.
Miller‐Cotto, Dana & Rebecca Gordon. (2024). Revisiting working memory 50 years after Baddeley and Hitch: A review of field-specific conceptualisations, use and misuse, and paths forward for studying children. Quarterly Journal of Experimental Psychology. 78(2). 425–435. 1 indexed citations
7.
Miller‐Cotto, Dana, Andrew Ribner, & Leann V. Smith. (2024). Understanding Working Memory and Mathematics Development in Ethnically/Racially Minoritized Children through an Integrative Theory Lens. Behavioral Sciences. 14(5). 390–390.
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9.
Miller‐Cotto, Dana, et al.. (2024). Unpacking the challenges and predictors of elementary–middle school students’ use of the distributive property. Journal of Experimental Child Psychology. 244. 105922–105922. 1 indexed citations
10.
Miller‐Cotto, Dana, et al.. (2024). Profiles of preschoolers’ numerical abilities across quantity representations.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 79(2). 221–227.
11.
DeJoseph, Meriah Lee, Monica E Ellwood-Lowe, Dana Miller‐Cotto, et al.. (2024). The promise and pitfalls of a strength-based approach to child poverty and neurocognitive development: Implications for policy. Developmental Cognitive Neuroscience. 66. 101375–101375. 13 indexed citations
12.
Ribner, Andrew, Sammy F. Ahmed, Dana Miller‐Cotto, & Alexa Ellis. (2023). The role of executive function in shaping the longitudinal stability of math achievement during early elementary grades. Early Childhood Research Quarterly. 64. 84–93. 13 indexed citations
13.
Barbieri, Christina, et al.. (2023). A Meta-analysis of the Worked Examples Effect on Mathematics Performance. Educational Psychology Review. 35(1). 22 indexed citations
14.
Resnick, Ilyse, et al.. (2023). Tracking informal fraction knowledge and its correlates across first grade.. Developmental Psychology. 59(10). 1739–1756. 2 indexed citations
15.
Miller‐Cotto, Dana, et al.. (2022). Early experiences and school readiness: A within and between exploration of the Opportunity Propensity Model. Cognitive Development. 64. 101226–101226. 1 indexed citations
16.
Barbieri, Christina & Dana Miller‐Cotto. (2021). The importance of adolescents' sense of belonging to mathematics for algebra learning. Learning and Individual Differences. 87. 101993–101993. 17 indexed citations
17.
Miller‐Cotto, Dana, Leann V. Smith, Aubrey H. Wang, & Andrew Ribner. (2021). Changing the conversation: A culturally responsive perspective on executive functions, minoritized children and their families. Infant and Child Development. 31(1). 55 indexed citations
18.
Miller‐Cotto, Dana & Christian D. Schunn. (2020). Mind the gap: how a large-scale course re-design in economics reduced performance gaps. The Journal of Experimental Education. 90(4). 783–796. 6 indexed citations
19.
Wang, Ming‐Te, Leann V. Smith, Dana Miller‐Cotto, & James P. Huguley. (2019). Parental Ethnic-Racial Socialization and Children of Color's Academic Success: A Meta-Analytic Review. Child Development. 91(3). e528–e544. 63 indexed citations
20.
Miller‐Cotto, Dana & James P. Byrnes. (2016). Ethnic/racial identity and academic achievement: A meta-analytic review. Developmental Review. 41. 51–70. 81 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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