Jennifer Suh

907 total citations
43 papers, 519 citations indexed

About

Jennifer Suh is a scholar working on Education, Developmental and Educational Psychology and Statistics and Probability. According to data from OpenAlex, Jennifer Suh has authored 43 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Education, 10 papers in Developmental and Educational Psychology and 10 papers in Statistics and Probability. Recurrent topics in Jennifer Suh's work include Mathematics Education and Teaching Techniques (23 papers), Cognitive and developmental aspects of mathematical skills (10 papers) and Education and Technology Integration (8 papers). Jennifer Suh is often cited by papers focused on Mathematics Education and Teaching Techniques (23 papers), Cognitive and developmental aspects of mathematical skills (10 papers) and Education and Technology Integration (8 papers). Jennifer Suh collaborates with scholars based in United States, Australia and South Korea. Jennifer Suh's co-authors include Patricia S. Moyer, Patricia S. Moyer‐Packenham, Padmanabhan Seshaiyer, Chris Johnston, Melissa A. Gallagher, Timothy W. Curby, Lyn D. English, Seth A. Parsons, Erin E. Turner and Anastasia P. Samaras and has published in prestigious journals such as ZDM, International Journal of Science and Mathematics Education and Journal of Mathematics Teacher Education.

In The Last Decade

Jennifer Suh

39 papers receiving 454 citations

Peers

Jennifer Suh

EDUCA

DEP

Arla Westenskow United States

Charles Hohensee United States

Bettina Rösken-Winter Germany

Kristin Lesseig United States

Gerrit Roorda Netherlands

Chandra Hawley Orrill United States

Despina Potari Greece

Kay Owens Australia

Hanlie Murray South Africa

M. A. Clements Australia

Arla Westenskow United States

Jennifer Suh

407 ×1.0

EDUCA

178 ×1.0

DEP

169 ×1.1

45 ×0.9

79 ×1.8

Citations per year, relative to Jennifer Suh Jennifer Suh (= 1×) peers Arla Westenskow

Countries citing papers authored by Jennifer Suh

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Suh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Suh

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

All Works

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20 of 20 papers shown

Gilbert, Andrew, et al.. (2024). Exploring the Development of Preservice Teachers’ Visions of Equity through Science and Mathematics Integration. International Journal of Science and Mathematics Education. 23(2). 489–514. 2 indexed citations

Christensen, Amelia J., et al.. (2023). Mathematizing Representation in Children’s Libraries: An Antiracist Math Unit in Elementary Grades. 13(1).

Suh, Jennifer, et al.. (2023). Young Mathematicians Take Action Through Sport Clinics. Mathematics Teacher Learning and Teaching PK-12. 116(11). 845–855.

Suh, Jennifer, et al.. (2021). Enhancing teachers' noticing around mathematics teaching practices through video-based lesson study with peer coaching. International Journal for Lesson and Learning Studies. 10(2). 150–167. 18 indexed citations

Suh, Jennifer, et al.. (2021). Mathematical Modeling as a Catalyst for Equitable Mathematics Instruction: Preparing Teachers and Young Learners with 21st Century Skills. Mathematics. 9(2). 162–162. 19 indexed citations

Suh, Jennifer, et al.. (2017). Improving Knowledge of Algebraic Learning Progressions through Professional Learning in Collaborative Vertical Teams.. Proceedings of the ... PME Conference.

Suh, Jennifer & Padmanabhan Seshaiyer. (2016). The Role of Information Technology in Engaging Elementary Students in Mathematical Modeling. Society for Information Technology & Teacher Education International Conference. 2576–2583. 1 indexed citations

Suh, Jennifer & Padmanabhan Seshaiyer. (2016). Modeling Mathematical Ideas: Developing Strategic Competence in Elementary and Middle School. 3 indexed citations

Brown, Elizabeth Levine, et al.. (2015). Documenting Teacher Candidates' Professional Growth through Performance Evaluation.. 25(1). 35–47. 3 indexed citations

10.

Samaras, Anastasia P., et al.. (2014). The Shark in the Vitrine. Journal of Transformative Education. 12(4). 368–388. 12 indexed citations

11.

Suh, Jennifer & Padmanabhan Seshaiyer. (2014). Examining teachers’ understanding of the mathematical learning progression through vertical articulation during Lesson Study. Journal of Mathematics Teacher Education. 18(3). 207–229. 28 indexed citations

12.

Suh, Jennifer & Padmanabhan Seshaiyer. (2013). Informing Practice: Mathematical Practices That Promote Twenty-First Century Skills. Mathematics Teaching in the Middle School. 19(3). 132–137. 4 indexed citations

13.

Moyer‐Packenham, Patricia S. & Jennifer Suh. (2012). Learning Mathematics with Technology: The Influence of Virtual Manipulatives on Different Achievement Groups. Digital Commons - USU (Utah State University). 31(1). 39–59. 50 indexed citations

14.

Suh, Jennifer & Padmanabhan Seshaiyer. (2012). Modeling 10-ness using Tech-knowledgy. Teaching Children Mathematics. 18(9). 574–578. 1 indexed citations

15.

Seshaiyer, Padmanabhan, Jennifer Suh, & Patricia W. Freeman. (2011). Unlocking the Locker problem. Teaching Children Mathematics. 18(5). 322–326. 1 indexed citations

16.

Suh, Jennifer. (2010). Leveraging cognitive technology tools to expand opportunities for critical thinking in elementary mathematics. Journal of Computers in Mathematics and Science Teaching. 29(3). 289–302. 7 indexed citations

17.

Johnston, Chris & Jennifer Suh. (2009). Pre-Service Elementary Teachers Planning for Math Instruction: Use of Technology Tools. Society for Information Technology & Teacher Education International Conference. 2009(1). 3561–3566. 4 indexed citations

18.

Suh, Jennifer & Patricia S. Moyer. (2007). Developing Students’ Representational Fluency Using Virtual and Physical Algebra Balances. Journal of Computers in Mathematics and Science Teaching. 26(2). 155–173. 106 indexed citations

19.

Suh, Jennifer, et al.. (2005). Examining Technology Uses in the Classroom: Developing Fraction Sense Using Virtual Manipulative Concept Tutorials. Digital Commons - USU (Utah State University). 3(4). 1–21. 97 indexed citations

20.

Suh, Jennifer, et al.. (2004). Impacting Student Confidence: The Effects of Using Virtual Manipulatives and Increasing Fraction Understanding. Digital Commons - USU (Utah State University). 14(2). 207–219. 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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