Dorothy T. Thayer
- Management Science and Operations Research top 0.5%
- Statistics and Probability top 0.5%
- Computer Networks and Communications top 2%
- Education top 5%
- Artificial Intelligence top 5%
- Co-authors
- Paul W. HollandDonald B. RubinRebecca ZwickCharles LewisAlina A. von DavierMelvin R. NovickPaul H. JacksonMarilyn S. Wingersky
- Topics
- Advanced Statistical Methods and Models (24 papers)Psychometric Methodologies and Testing (19 papers)Statistical Methods and Bayesian Inference (13 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- PsychometrikaEducational and Psychological MeasurementJournal of the Royal Statistical Society Series C (Applied Statistics)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Dorothy T. Thayer
69 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 148
- Management Science and Operations Research 1.1k
- Statistics and Probability 886
- Computer Networks and Communications 546
- Education 253
- Artificial Intelligence 206
Countries citing papers authored by Dorothy T. Thayer
This map shows the geographic impact of Dorothy T. Thayer'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 Dorothy T. Thayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorothy T. Thayer more than expected).
Fields of papers citing papers by Dorothy T. Thayer
This network shows the impact of papers produced by Dorothy T. Thayer. 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 Dorothy T. Thayer. The network helps show where Dorothy T. Thayer may publish in the future.
Co-authorship network of co-authors of Dorothy T. Thayer
This figure shows the co-authorship network connecting the top 25 collaborators of Dorothy T. Thayer. A scholar is included among the top collaborators of Dorothy T. Thayer 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 Dorothy T. Thayer. Dorothy T. Thayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 15 | |
| 3 | 25 | |
| 4 | 106 | |
| 5 | 191 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 21 |
About Dorothy T. Thayer
Dorothy T. Thayer is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 69 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (24 papers), Psychometric Methodologies and Testing (19 papers) and Statistical Methods and Bayesian Inference (13 papers). The work is most often cited by research in Statistics and Probability (886 citations), Management Science and Operations Research (1.1k citations) and Statistics, Probability and Uncertainty (179 citations). Dorothy T. Thayer has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Paul W. Holland, Donald B. Rubin, Rebecca Zwick, Charles Lewis, Alina A. von Davier, Melvin R. Novick, Paul H. Jackson, Marilyn S. Wingersky, John Mazzeo and Paul R. Rosenbaum. Their work appears in journals such as Psychometrika, Educational and Psychological Measurement and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.