Philip McDunnough

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 Statistical Methods and Bayesian Inference (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 Statistical Methods and Bayesian Inference (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

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Likelihood centered asymptotic model exponential and location model versions 1998 ·Journal of Statistical Planning and Inference ·Sabit Cakmak, D. A. S. Fraser, Philip McDunnough, Nancy Reid, (unknown)	13
2	The role of probability generating functions for estimation in incompletely observed random walks 1996 ·Canadian Journal of Statistics ·Ellen Maki, Philip McDunnough	2
3	On the representation of symmetric transition functions 1990 ·Advances in Applied Probability ·William J. Anderson, Philip McDunnough	4
4	On the representation of symmetric transition functions 1990 ·Advances in Applied Probability ·William J. Anderson, Philip McDunnough	3
5	What can or can't be estimated in branching and related processes? 1989 ·Stochastic Processes and their Applications ·Ellen Maki, Philip McDunnough	5
6	Sampling a branching tree 1989 ·Stochastic Processes and their Applications ·Ellen Maki, Philip McDunnough	2
7	Further remarks on asymptotic normality of likelihood and conditional analyses 1984 ·Canadian Journal of Statistics ·D. A. S. Fraser, Philip McDunnough	16
8	On asymptotic normality of likelihood and conditional analysis 1982 ·Canadian Journal of Statistics ·David J. Brenner, D. A. S. Fraser, Philip McDunnough	9
9	On the Efficiency of Empirical Characteristic Function Procedures 1981 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Andrey Feuerverger, Philip McDunnough	133
10	On Some Fourier Methods for Inference 1981 ·Journal of the American Statistical Association ·Andrey Feuerverger, Philip McDunnough	85
11	On Some Fourier Methods for Inference 1981 ·Journal of the American Statistical Association ·Andrey Feuerverger, Philip McDunnough	22
12	FIXED VERSUS RANDOM SAMPLING OF CERTAIN CONTINUOUS PARAMETER PROCESSES 1980 ·Australian Journal of Statistics ·Philip McDunnough, David B. Wolfson	6
13	Some remarks on conditional and unconditional inference for location-scale models 1980 ·Statistische Hefte ·D. A. S. Fraser, Philip McDunnough	5
14	Estimating an interaction parameter of an infinite particle system 1979 ·Annals of the Institute of Statistical Mathematics ·Philip McDunnough	1
15	Estimating the law of randomly moving particles by counting 1979 ·Journal of Applied Probability ·Philip McDunnough	6
16	Estimating the law of randomly moving particles by counting 1979 ·Journal of Applied Probability ·Philip McDunnough	4
17	The Estimation of an Autocorrelation Parameter of a Gaussian Vector Process 1979 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Philip McDunnough	3
18	On some sampling schemes for estimating the parameters of a continuous time series 1979 ·Annals of the Institute of Statistical Mathematics ·Philip McDunnough, David B. Wolfson	7
19	Some aspects of the Smoluchowski process 1978 ·Journal of Applied Probability ·Philip McDunnough	2
20	Some aspects of the Smoluchowski process 1978 ·Journal of Applied Probability ·Philip McDunnough	5

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