Philip McDunnough

21 papers and 350 indexed citations i.

About

Philip McDunnough is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Philip McDunnough has authored 21 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 6 papers in Mathematical Physics. Recurrent topics in Philip McDunnough’s work include Statistical Methods and Inference (8 papers), Stochastic processes and statistical mechanics (6 papers) and Bayesian Methods and Mixture Models (5 papers). Philip McDunnough is often cited by papers focused on Statistical Methods and Inference (8 papers), Stochastic processes and statistical mechanics (6 papers) and Bayesian Methods and Mixture Models (5 papers). Philip McDunnough collaborates with scholars based in Canada. Philip McDunnough's co-authors include Andrey Feuerverger, D. A. S. Fraser, David B. Wolfson, Ellen Maki, William J. Anderson, David J. Brenner, Sabit Cakmak and Nancy Reid and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Applied Probability.

In The Last Decade

Co-authorship network of co-authors of Philip McDunnough i

Fields of papers citing papers by Philip McDunnough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip McDunnough. 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 Philip McDunnough. The network helps show where Philip McDunnough may publish in the future.

Countries citing papers authored by Philip McDunnough

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025