Mary C. Meyer

44 papers and 770 indexed citations i.

About

Mary C. Meyer is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Mary C. Meyer has authored 44 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Mary C. Meyer’s work include Statistical Methods and Inference (22 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Mary C. Meyer is often cited by papers focused on Statistical Methods and Inference (22 papers), Advanced Statistical Methods and Models (15 papers) and Statistical Methods and Bayesian Inference (9 papers). Mary C. Meyer collaborates with scholars based in United States. Mary C. Meyer's co-authors include Michael Woodroofe, Alexandra Brewis, Purushottam W. Laud, Amber J. Hackstadt, Jennifer A. Hoeting, Karen L. Schmidt, Karen Schleeweis, Richard D. Lewis, Chris Toney and Jean D. Opsomer and has published in prestigious journals such as Journal of the American Statistical Association, Global Change Biology and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Mary C. Meyer i

Fields of papers citing papers by Mary C. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Mary C. Meyer

Since Specialization
Citations

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).

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.

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2025