Alexa Ellis

466 total citations
19 papers, 182 citations indexed

About

Alexa Ellis is a scholar working on Education, Statistics and Probability and Developmental and Educational Psychology. According to data from OpenAlex, Alexa Ellis has authored 19 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Education, 10 papers in Statistics and Probability and 9 papers in Developmental and Educational Psychology. Recurrent topics in Alexa Ellis's work include Cognitive and developmental aspects of mathematical skills (10 papers), Early Childhood Education and Development (9 papers) and Reading and Literacy Development (4 papers). Alexa Ellis is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (10 papers), Early Childhood Education and Development (9 papers) and Reading and Literacy Development (4 papers). Alexa Ellis collaborates with scholars based in United States, Chile and Myanmar. Alexa Ellis's co-authors include Pamela Davis‐Kean, Sammy F. Ahmed, Thurston Domina, Megan Kuhfeld, Elizabeth T. Gershoff, Natasha Chaku, David J. Purpura, Kaitlin P. Ward, María Inés Susperreguy and Andrew Ribner and has published in prestigious journals such as Child Development, Annals of the New York Academy of Sciences and Journal of Educational Psychology.

In The Last Decade

Alexa Ellis

17 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexa Ellis United States 7 104 84 65 39 26 19 182
Joy A. Thompson United States 7 204 2.0× 105 1.3× 135 2.1× 22 0.6× 27 1.0× 10 304
Antje Ehlert Germany 9 166 1.6× 106 1.3× 69 1.1× 13 0.3× 20 0.8× 28 264
Zehra E. Ünal United States 6 126 1.2× 152 1.8× 121 1.9× 39 1.0× 35 1.3× 10 243
Dieuwer ten Braak Norway 8 166 1.6× 68 0.8× 167 2.6× 36 0.9× 85 3.3× 13 309
Aubrey H. Wang United States 11 246 2.4× 83 1.0× 82 1.3× 46 1.2× 9 0.3× 14 290
Barbara J. Wendling United States 7 77 0.7× 78 0.9× 145 2.2× 100 2.6× 37 1.4× 9 246
Ellen Litkowski United States 8 212 2.0× 128 1.5× 90 1.4× 39 1.0× 8 0.3× 14 254
Sabrina Di Lonardo Burr Canada 10 208 2.0× 194 2.3× 99 1.5× 56 1.4× 22 0.8× 31 299
Carrie Germeroth United States 5 214 2.1× 105 1.3× 141 2.2× 28 0.7× 27 1.0× 8 311
Juliane Kohn Germany 12 170 1.6× 199 2.4× 182 2.8× 55 1.4× 22 0.8× 23 312

Countries citing papers authored by Alexa Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Alexa Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexa Ellis

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

All Works

19 of 19 papers shown
1.
Kumar, S. S., et al.. (2025). What I say is not what I do: Gender differences in the home mathematics environment.. Developmental Psychology. 61(3). 482–494. 1 indexed citations
2.
3.
Ellis, Alexa, et al.. (2025). Variation in mathematics performance: A multilevel analysis with student and school's characteristics. Journal of Numerical Cognition. 11. 1 indexed citations
4.
Ellis, Alexa, et al.. (2025). Examining the factor structure of the home learning environment. Journal of Experimental Child Psychology. 252. 106186–106186. 1 indexed citations
5.
Davis‐Kean, Pamela, Alexa Ellis, & Moin Syed. (2024). Registered Reports with secondary developmental data: Introduction to the special issue. Infant and Child Development. 33(2).
6.
Ellis, Alexa, et al.. (2024). Contributions of preschool behavioral self-regulation and social skills to growth in different domains of early math knowledge. Journal of Experimental Child Psychology. 241. 105867–105867. 2 indexed citations
7.
Kim, Matthew H., et al.. (2023). A metascience investigation of inclusive, open, and reproducible science practices in research posters at the 2021 SRCD biennial meeting. Child Development. 95(4). 1109–1123. 1 indexed citations
8.
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
9.
Purpura, David J., Alexa Ellis, Jessica A. R. Logan, et al.. (2023). Unique and combined effects of quantitative mathematical language and numeracy instruction within a picture book intervention: A registered report.. Journal of Educational Psychology. 116(1). 1–19. 5 indexed citations
10.
Ellis, Alexa, et al.. (2023). International comparisons of the home mathematics environment and relations with children's mathematical achievement. British Journal of Educational Psychology. 93(4). 1171–1187. 3 indexed citations
11.
12.
Ellis, Alexa, et al.. (2022). Conceptualizing the factor structure of parents’ math anxiety and associations with children's mathematics skills. Annals of the New York Academy of Sciences. 1511(1). 119–132. 10 indexed citations
13.
Ahmed, Sammy F., Alexa Ellis, Kaitlin P. Ward, Natasha Chaku, & Pamela Davis‐Kean. (2022). Working memory development from early childhood to adolescence using two nationally representative samples.. Developmental Psychology. 58(10). 1962–1973. 31 indexed citations
14.
Ahmed, Sammy F., Natasha Chaku, Nicholas E. Waters, Alexa Ellis, & Pamela Davis‐Kean. (2022). Developmental cascades and educational attainment. Advances in child development and behavior. 64. 289–326. 2 indexed citations
15.
Ellis, Alexa, María Inés Susperreguy, David J. Purpura, & Pamela Davis‐Kean. (2021). Conceptual replication and extension of the relation between the number line estimation task and mathematical competence across seven studies. Journal of Numerical Cognition. 7(3). 435–452. 7 indexed citations
16.
Ellis, Alexa, Sammy F. Ahmed, Selin Zeytinoglu, et al.. (2021). Reciprocal associations between executive function and academic achievement: A conceptual replication of Schmitt et al. (2017). Journal of Numerical Cognition. 7(3). 453–472. 19 indexed citations
17.
Davis‐Kean, Pamela, Thurston Domina, Megan Kuhfeld, Alexa Ellis, & Elizabeth T. Gershoff. (2021). It matters how you start: Early numeracy mastery predicts high school math course‐taking and college attendance. Infant and Child Development. 31(2). 47 indexed citations
18.
Davis‐Kean, Pamela & Alexa Ellis. (2019). An overview of issues in infant and developmental research for the creation of robust and replicable science. Infant Behavior and Development. 57. 101339–101339. 34 indexed citations
19.
Ellis, Alexa, Xiaosu Hu, Craig Smith, Pamela Davis‐Kean, & Ioulia Kovelman. (2018). Sharing as a model for understanding division. Neuroreport. 29(11). 889–893. 2 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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