Jennifer McGee
- Education top 5%
- Statistics and Probability top 5%
- Developmental and Educational Psychology
- Information Systems and Management
- Experimental and Cognitive Psychology
- Co-authors
- Chuang WangDrew PollyDavid PugaleeRichard G. LambertSusan ColbyChristie MartinSarah M. JohnsonDarrell Morris
- Topics
- Mathematics Education and Teaching Techniques (8 papers)Cognitive and developmental aspects of mathematical skills (6 papers)Teacher Education and Leadership Studies (6 papers)
- Journals
- International Journal of Educational ResearchJournal of Psychoeducational AssessmentSchool Science and Mathematics
- Partner nations
- United States
In The Last Decade
Jennifer McGee
17 papers receiving 239 citations
Peers
Comparison fields: 5 of 38
- Education 230
- Statistics and Probability 56
- Developmental and Educational Psychology 50
- Information Systems and Management 21
- Experimental and Cognitive Psychology 19
Countries citing papers authored by Jennifer McGee
This map shows the geographic impact of Jennifer McGee'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 McGee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer McGee more than expected).
Fields of papers citing papers by Jennifer McGee
This network shows the impact of papers produced by Jennifer McGee. 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 McGee. The network helps show where Jennifer McGee may publish in the future.
Co-authorship network of co-authors of Jennifer McGee
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer McGee. A scholar is included among the top collaborators of Jennifer McGee 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 McGee. Jennifer McGee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | Moving from Forecast to Prediction: How Honors Programs Can Use Easily Accessible Predictive Analytics to Improve Enrollment Management. | 1 |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 65 | |
| 10 | 38 | |
| 11 | 20 | |
| 12 | 9 | |
| 13 | 22 | |
| 14 | 13 | |
| 15 | 33 | |
| 16 | 4 | |
| 17 | Employing Technology-Rich Mathematical Tasks to Develop Teachers’ Technological, Pedagogical, and Content Knowledge (TPACK) | 27 |
About Jennifer McGee
Jennifer McGee is a scholar working on Statistics and Probability, Education and Information Systems and Management, having authored 17 papers that have together received 267 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (8 papers), Cognitive and developmental aspects of mathematical skills (6 papers) and Teacher Education and Leadership Studies (6 papers). The work is most often cited by research in Education (230 citations), Statistics and Probability (56 citations) and Developmental and Educational Psychology (50 citations). Jennifer McGee has collaborated with scholars based in United States. Frequent co-authors include Chuang Wang, Drew Polly, David Pugalee, Richard G. Lambert, Susan Colby, Christie Martin, Sarah M. Johnson, Darrell Morris, Carla Meyer and Bob Algozzine. Their work appears in journals such as International Journal of Educational Research, Journal of Psychoeducational Assessment and School Science and 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.