Donna K. Pauler

26 papers and 2.7k indexed citations i.

About

Donna K. Pauler is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Donna K. Pauler has authored 26 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Donna K. Pauler’s work include Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (5 papers). Donna K. Pauler is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (5 papers). Donna K. Pauler collaborates with scholars based in United States, South Africa and United Kingdom. Donna K. Pauler's co-authors include John J. Crowley, Phyllis J. Goodman, Ian M. Thompson, Catherine M. Tangen, Charles A. Coltman, E. David Crawford, Scott M. Lippman, Lori M. Minasian, Howard L. Parnes and M. Scott Lucia and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Donna K. Pauler i

Fields of papers citing papers by Donna K. Pauler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna K. Pauler. 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 Donna K. Pauler. The network helps show where Donna K. Pauler may publish in the future.

Countries citing papers authored by Donna K. Pauler

Since Specialization
Citations

This map shows the geographic impact of Donna K. Pauler'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 Donna K. Pauler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna K. Pauler 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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