Margaret Schadler
- Developmental and Educational Psychology top 5%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Statistics and Probability top 5%
- Automotive Engineering top 10%
- Co-authors
- Alexander W. SiegelDavid ThissenJames F. JuolaEugene S. GollinRobert J. ChabotNancy Wadsworth DenneySharon A. WilliamsFrances J. Friedrich
- Topics
- Reading and Literacy Development (5 papers)Cognitive and developmental aspects of mathematical skills (4 papers)Child and Animal Learning Development (4 papers)
- Cited by
- Developmental and Educational PsychologyStatistics and ProbabilityExperimental and Cognitive Psychology
- Partner nations
- United States
In The Last Decade
Margaret Schadler
16 papers receiving 326 citations
Peers
Comparison fields: 5 of 60
- Developmental and Educational Psychology 239
- Cognitive Neuroscience 141
- Experimental and Cognitive Psychology 103
- Statistics and Probability 86
- Automotive Engineering 67
Countries citing papers authored by Margaret Schadler
This map shows the geographic impact of Margaret Schadler'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 Margaret Schadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Schadler more than expected).
Fields of papers citing papers by Margaret Schadler
This network shows the impact of papers produced by Margaret Schadler. 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 Margaret Schadler. The network helps show where Margaret Schadler may publish in the future.
Co-authorship network of co-authors of Margaret Schadler
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Schadler. A scholar is included among the top collaborators of Margaret Schadler 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 Margaret Schadler. Margaret Schadler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Young Persons View "The Day After.". | 1 |
| 5 | 31 | |
| 6 | 67 | |
| 7 | 2 | |
| 8 | 41 | |
| 9 | 11 | |
| 10 | 66 | |
| 11 | 98 | |
| 12 | 4 | |
| 13 | 13 | |
| 14 | 7 | |
| 15 | 30 | |
| 16 | 3 | |
| 17 | 2 |
About Margaret Schadler
Margaret Schadler is a scholar working on Developmental and Educational Psychology, Neuropsychology and Physiological Psychology and Statistics and Probability, having authored 17 papers that have together received 381 indexed citations. Recurring topics across this work include Reading and Literacy Development (5 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Child and Animal Learning Development (4 papers). The work is most often cited by research in Developmental and Educational Psychology (239 citations), Statistics and Probability (86 citations) and Experimental and Cognitive Psychology (103 citations). Margaret Schadler has collaborated with scholars based in United States. Frequent co-authors include Alexander W. Siegel, David Thissen, James F. Juola, Eugene S. Gollin, Robert J. Chabot, Nancy Wadsworth Denney, Sharon A. Williams, Frances J. Friedrich, David R. Thomas and Daniel C. O’Connell. Their work appears in journals such as Child Development, Developmental Psychology and Memory & Cognition.
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.