Philip McDunnough

24 total papers · 522 total citations
21 papers, 360 citations indexed

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 360 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 Advanced Statistical Methods and 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 Advanced Statistical Methods and 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, Nancy Reid and Sabit Cakmak 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

Philip McDunnough

21 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Philip McDunnough	200	157	74	58	54	21	360
Zhibiao Zhao	237 1.2×	147 0.9×	59 0.8×	81 1.4×	71 1.3×	25	388
Tuan D. Pham	189 0.9×	152 1.0×	68 0.9×	62 1.1×	38 0.7×	9	332
Valentin Patilea	299 1.5×	86 0.5×	73 1.0×	71 1.2×	39 0.7×	36	392
Alessio Sancetta	124 0.6×	225 1.4×	50 0.7×	118 2.0×	72 1.3×	31	371
Simos G. Meintanis	281 1.4×	161 1.0×	69 0.9×	71 1.2×	47 0.9×	48	371
Anne‐Laure Fougères	141 0.7×	221 1.4×	43 0.6×	55 0.9×	22 0.4×	20	323
Xiao Han	216 1.1×	82 0.5×	79 1.1×	79 1.4×	24 0.4×	23	360
M.C.A. van Zuijlen	210 1.1×	137 0.9×	85 1.1×	43 0.7×	20 0.4×	52	364
Brendan K. Beare	114 0.6×	199 1.3×	45 0.6×	156 2.7×	60 1.1×	24	360
S. Y. Novak	100 0.5×	115 0.7×	72 1.0×	47 0.8×	22 0.4×	42	356

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).

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.

Co-authorship network of co-authors of Philip McDunnough

This figure shows the co-authorship network connecting the top 25 collaborators of Philip McDunnough. A scholar is included among the top collaborators of Philip McDunnough 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 Philip McDunnough. Philip McDunnough is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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