Stephanie Casey
- Education top 10%
- Statistics and Probability top 5%
- Developmental and Educational Psychology
- Clinical Psychology
- Applied Mathematics
- Co-authors
- Nicholas H. WassermanKristin LesseigDeborah Moore‐RussoSophie FoleySamson Pandam SalifuGeraint Florida‐JamesYoung-Suk KimAngela D’Amore
- Topics
- Mathematics Education and Teaching Techniques (20 papers)Statistics Education and Methodologies (20 papers)Innovations in Educational Methods (4 papers)
- Journals
- Journal of Applied MicrobiologyArchives of Disease in Childhood Fetal & NeonatalEducational Studies in Mathematics
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Stephanie Casey
25 papers receiving 205 citations
Peers
Comparison fields: 5 of 62
- Education 136
- Statistics and Probability 98
- Developmental and Educational Psychology 23
- Clinical Psychology 18
- Applied Mathematics 15
Countries citing papers authored by Stephanie Casey
This map shows the geographic impact of Stephanie Casey'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 Stephanie Casey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie Casey more than expected).
Fields of papers citing papers by Stephanie Casey
This network shows the impact of papers produced by Stephanie Casey. 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 Stephanie Casey. The network helps show where Stephanie Casey may publish in the future.
Co-authorship network of co-authors of Stephanie Casey
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Casey. A scholar is included among the top collaborators of Stephanie Casey 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 Stephanie Casey. Stephanie Casey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | Preservice Teachers’ Design of Technology-Enhanced Statistical Tasks | 5 |
| 8 | 9 | |
| 9 | Examining Preservice Secondary Mathematics Teachers’ Responses to Student Work to Solve Linear Equations | 14 |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 20 | |
| 18 | 17 | |
| 19 | TEACHERS' KNOWLEDGE OF STUDENTS' CONCEPTIONS AND THEIR DEVELOPMENT WHEN LEARNING LINEAR REGRESSION | 0 |
| 20 | 14 |
About Stephanie Casey
Stephanie Casey is a scholar working on Statistics and Probability, Education and Behavioral Neuroscience, having authored 31 papers that have together received 214 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (20 papers), Statistics Education and Methodologies (20 papers) and Innovations in Educational Methods (4 papers). The work is most often cited by research in Statistics and Probability (98 citations), Education (136 citations) and Theoretical Computer Science (4 citations). Stephanie Casey has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Nicholas H. Wasserman, Kristin Lesseig, Deborah Moore‐Russo, Sophie Foley, Samson Pandam Salifu, Geraint Florida‐James, Young-Suk Kim, Angela D’Amore, Allison W. McCulloch and Fergus Gracey. Their work appears in journals such as Journal of Applied Microbiology, Archives of Disease in Childhood Fetal & Neonatal and Educational Studies in Mathematics.
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.