Mary C. Meyer
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Management Science and Operations Research top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Michael WoodroofeAlexandra BrewisPurushottam W. LaudKaren L. SchmidtJennifer A. HoetingAmber J. HackstadtMichael T. HendersonJean D. Opsomer
- Topics
- Statistical Methods and Inference (21 papers)Advanced Statistical Methods and Models (15 papers)Statistical Methods and Bayesian Inference (9 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United States
In The Last Decade
Mary C. Meyer
43 papers receiving 617 citations
Peers
Comparison fields: 5 of 125
- Statistics and Probability 315
- Artificial Intelligence 112
- Control and Systems Engineering 67
- Management Science and Operations Research 63
- Public Health, Environmental and Occupational Health 58
Countries citing papers authored by Mary C. Meyer
This map shows the geographic impact of Mary C. Meyer'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 Mary C. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary C. Meyer more than expected).
Fields of papers citing papers by Mary C. Meyer
This network shows the impact of papers produced by Mary C. Meyer. 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 Mary C. Meyer. The network helps show where Mary C. Meyer may publish in the future.
Co-authorship network of co-authors of Mary C. Meyer
This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Meyer. A scholar is included among the top collaborators of Mary C. Meyer 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 Mary C. Meyer. Mary C. Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Political attitudes of the young electorate in the 2016 presidential election and parental influences on political identity formation. | 1 |
| 2 | 9 | |
| 3 | 11 | |
| 4 | 45 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 25 | |
| 9 | 29 | |
| 10 | 7 | |
| 11 | 47 | |
| 12 | 4 | |
| 13 | 17 | |
| 14 | 45 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 40 | |
| 20 | Shape-restricted inference with applications to nonparametric regression, smooth nonparametric function estimation, and density estimation. | 6 |
About Mary C. Meyer
Mary C. Meyer is a scholar working on Statistics and Probability, Management Science and Operations Research and Applied Mathematics, having authored 44 papers that have together received 681 indexed citations. Recurring topics across this work include Statistical Methods and Inference (21 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Bayesian Inference (9 papers). The work is most often cited by research in Statistics and Probability (315 citations), Statistics, Probability and Uncertainty (46 citations) and Management Science and Operations Research (63 citations). Mary C. Meyer has collaborated with scholars based in United States. Frequent co-authors include Michael Woodroofe, Alexandra Brewis, Purushottam W. Laud, Karen L. Schmidt, Jennifer A. Hoeting, Amber J. Hackstadt, Michael T. Henderson, Jean D. Opsomer, Zenong Yin and Richard D. Lewis. Their work appears in journals such as Journal of the American Statistical Association, Global Change Biology and Biometrika.
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.