Lyn D. English

10.0k total citations · 2 hit papers
193 papers, 5.2k citations indexed

About

Lyn D. English is a scholar working on Education, Statistics and Probability and Developmental and Educational Psychology. According to data from OpenAlex, Lyn D. English has authored 193 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Education, 82 papers in Statistics and Probability and 34 papers in Developmental and Educational Psychology. Recurrent topics in Lyn D. English's work include Mathematics Education and Teaching Techniques (92 papers), Statistics Education and Methodologies (45 papers) and Cognitive and developmental aspects of mathematical skills (43 papers). Lyn D. English is often cited by papers focused on Mathematics Education and Teaching Techniques (92 papers), Statistics Education and Methodologies (45 papers) and Cognitive and developmental aspects of mathematical skills (43 papers). Lyn D. English collaborates with scholars based in Australia, United States and Cyprus. Lyn D. English's co-authors include Donna King, Bharath Sriraman, Jane Watson, James J. Watters, David Kirshner, Helen M. Doerr, Peter Hudson, Les Dawes, Yeping Li and Andrea A. diSessa and has published in prestigious journals such as Biometrics, Computers & Education and Journal of Research in Science Teaching.

In The Last Decade

Lyn D. English

180 papers receiving 4.8k citations

Hit Papers

STEM education K-12: perspectives on integration 2016 2026 2019 2022 2016 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lyn D. English Australia 36 3.8k 1.3k 1.3k 696 442 193 5.2k
Richard Lesh United States 36 5.0k 1.3× 1.8k 1.4× 2.5k 2.0× 502 0.7× 397 0.9× 142 6.1k
Jere Confrey United States 28 3.6k 1.0× 1.5k 1.2× 1.3k 1.0× 510 0.7× 214 0.5× 106 4.8k
Celia Hoyles United Kingdom 33 2.7k 0.7× 1.3k 1.0× 930 0.7× 814 1.2× 156 0.4× 141 3.7k
Leona Schauble United States 29 4.3k 1.1× 3.2k 2.4× 894 0.7× 574 0.8× 620 1.4× 54 6.2k
Robert M. Capraro United States 29 2.1k 0.6× 619 0.5× 405 0.3× 274 0.4× 300 0.7× 163 3.1k
Jinfa Cai United States 40 4.8k 1.3× 1.5k 1.1× 1.9k 1.5× 315 0.5× 657 1.5× 181 5.8k
Mary Margaret Capraro United States 30 2.1k 0.5× 610 0.5× 456 0.4× 258 0.4× 291 0.7× 145 3.0k
Miriam Gamoran Sherin United States 34 6.3k 1.7× 2.0k 1.5× 778 0.6× 295 0.4× 567 1.3× 81 7.3k
Douglas H. Clements United States 57 8.3k 2.2× 3.5k 2.7× 4.6k 3.6× 1.2k 1.8× 636 1.4× 280 10.8k
Gabriele Kaiser Germany 42 4.3k 1.1× 1.1k 0.8× 940 0.7× 254 0.4× 503 1.1× 189 5.3k

Countries citing papers authored by Lyn D. English

Since Specialization
Citations

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

Fields of papers citing papers by Lyn D. English

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lyn D. English. 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 Lyn D. English. The network helps show where Lyn D. English may publish in the future.

Co-authorship network of co-authors of Lyn D. English

This figure shows the co-authorship network connecting the top 25 collaborators of Lyn D. English. A scholar is included among the top collaborators of Lyn D. English 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 Lyn D. English. Lyn D. English 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.
Davis, James, Feng‐Kuang Chiang, & Lyn D. English. (2025). Entrepreneurial STEM Education: Making it Happen. Research in Science Education. 55(1). 1–9. 2 indexed citations
2.
3.
Makar, Katie, et al.. (2024). Primary children learning to address complex problems with non-standard data using a data science perspective. Mathematics Education Research Journal. 37(4). 743–771.
4.
English, Lyn D.. (2023). LINKING PROBABILITY AND STATISTICS IN YOUNG STUDENTS’ REASONING WITH CHANCE. Statistics Education Research Journal. 22(2). 7–7.
5.
English, Lyn D., et al.. (2023). Cognitive tuning in the STEM classroom: communication processes supporting children’s changing conceptions about data. Mathematics Education Research Journal. 36(S1). 67–89. 5 indexed citations
6.
English, Lyn D.. (2022). Multidisciplinary Modelling in a Sixth-Grade Tsunami Investigation. International Journal of Science and Mathematics Education. 21(S1). 41–65. 5 indexed citations
7.
English, Lyn D. & Jane Watson. (2016). Making decisions with data: Are we environmentally friendly?. eCite Digital Repository (University of Tasmania). 3 indexed citations
8.
Watson, Jane & Lyn D. English. (2015). Expectation and Variation with a Virtual Die.. eCite Digital Repository (University of Tasmania). 71(3). 3–9. 1 indexed citations
9.
Mulligan, Joanne & Lyn D. English. (2014). Developing Young Students' Meta-Representational Competence through Integrated Mathematics and Science Investigations.. QUT ePrints (Queensland University of Technology). 493–500. 3 indexed citations
10.
Cai, Jinfa, Michelle Cirillo, John A. Pelesko, et al.. (2014). Mathematical modeling in school education: Mathematical, cognitive, curricular, instructional and teacher educational perspectives. Research Bank (Australian Catholic University). 1. 145. 18 indexed citations
11.
English, Lyn D. & Jane Watson. (2014). Development of fourth grade students' understanding of experimental and theoretical probability. eCite Digital Repository (University of Tasmania). 215–222. 4 indexed citations
12.
English, Lyn D., Peter Hudson, & Les Dawes. (2013). Engineering based problem solving in the middle school: Design and construction with simple machines. QUT ePrints (Queensland University of Technology). 21 indexed citations
13.
English, Lyn D.. (2011). Data Modeling in Elementary and Middle School Classes: A Shared Experience.. QUT ePrints (Queensland University of Technology). 1 indexed citations
14.
Sriraman, Bharath & Lyn D. English. (2010). Theories of mathematics education: seeking new frontiers. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 89 indexed citations
15.
English, Lyn D., et al.. (2009). Integrating Engineering Education within the Elementary and Middle School Mathematics Curriculum. QUT ePrints (Queensland University of Technology). 165–176. 3 indexed citations
16.
English, Lyn D., Maria Giuseppina Bartolini, Graham A. Jones, et al.. (2008). HANDBOOK OF INTERNATIONAL RESEARCH IN MATHEMATICS EDUCATION (SECOND EDITION). QUT ePrints (Queensland University of Technology). 1–925. 10 indexed citations
17.
English, Lyn D.. (2008). Mathematical Modelling: Linking Mathematics, Science, and the Arts in the Primary Curriculum. The Mathematics Enthusiast. 5–36. 3 indexed citations
18.
English, Lyn D.. (2004). Mathematical Modeling in the Primary School. Faculty of Education. 9 indexed citations
19.
Sriraman, Bharath & Lyn D. English. (2004). Combinatorial Mathematics: Research into Practice. Faculty of Education. 1 indexed citations
20.
English, Lyn D. & Helen M. Doerr. (2003). Perspective-Taking in Middle-School Mathematical Modelling: A Teacher Case Study. Proceedings of the ... PME Conference. 2. 357–364. 4 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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