Michael J. Prentice

478 total citations
16 papers, 340 citations indexed

About

Michael J. Prentice is a scholar working on Applied Mathematics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Michael J. Prentice has authored 16 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Mathematics, 5 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in Michael J. Prentice's work include Statistical and numerical algorithms (6 papers), Soil Geostatistics and Mapping (5 papers) and Bayesian Methods and Mixture Models (4 papers). Michael J. Prentice is often cited by papers focused on Statistical and numerical algorithms (6 papers), Soil Geostatistics and Mapping (5 papers) and Bayesian Methods and Mixture Models (4 papers). Michael J. Prentice collaborates with scholars based in United Kingdom. Michael J. Prentice's co-authors include Frank Wright, Gráinne McGuire, N. I. Fisher, Kanti V. Mardia and Roy Thompson and has published in prestigious journals such as Biometrics, Molecular Biology and Evolution and Biometrika.

In The Last Decade

Michael J. Prentice

16 papers receiving 301 citations

Peers

Michael J. Prentice
C. M. Theobald United Kingdom
Ron Evans United States
Suman Rakshit Australia
Abhijit Dasgupta United States
Alfred Kume United Kingdom
Michael J. Prentice
Citations per year, relative to Michael J. Prentice Michael J. Prentice (= 1×) peers Beatriz Pateiro‐López

Countries citing papers authored by Michael J. Prentice

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Prentice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Prentice. 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 Michael J. Prentice. The network helps show where Michael J. Prentice may publish in the future.

Co-authorship network of co-authors of Michael J. Prentice

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

All Works

16 of 16 papers shown
1.
McGuire, Gráinne, Frank Wright, & Michael J. Prentice. (2000). A Bayesian Model for Detecting Past Recombination Events in DNA Multiple Alignments. Journal of Computational Biology. 7(1-2). 159–170. 24 indexed citations
2.
McGuire, Gráinne, Michael J. Prentice, & Frank Wright. (1999). Improved Error Bounds for Genetic Distances from Dna Sequences. Biometrics. 55(4). 1064–1070. 5 indexed citations
3.
McGuire, Gráinne, Frank Wright, & Michael J. Prentice. (1997). A graphical method for detecting recombination in phylogenetic data sets. Molecular Biology and Evolution. 14(11). 1125–1131. 53 indexed citations
4.
Prentice, Michael J. & N. I. Fisher. (1995). Statistical Analysis of Circular Data.. Journal of the Royal Statistical Society Series A (Statistics in Society). 158(1). 190–190. 13 indexed citations
5.
Prentice, Michael J. & Kanti V. Mardia. (1995). Shape changes in the plane for landmark data. The Annals of Statistics. 23(6). 9 indexed citations
6.
Prentice, Michael J.. (1989). Spherical Regression on Matched Pairs of Orientation Statistics. Journal of the Royal Statistical Society Series B (Statistical Methodology). 51(2). 241–248. 18 indexed citations
7.
Prentice, Michael J.. (1988). Using sample principal axes to estimate small circles and ellipses on the sphere. Journal of Applied Statistics. 15(2). 171–177. 2 indexed citations
8.
Thompson, Roy & Michael J. Prentice. (1987). An alternative method of calculating finite plate rotations. Physics of The Earth and Planetary Interiors. 48(1-2). 79–83. 9 indexed citations
9.
Prentice, Michael J.. (1987). Fitting Smooth Paths to Rotation Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 36(3). 325–325. 17 indexed citations
10.
Prentice, Michael J.. (1986). Orientation Statistics Without Parametric Assumptions. Journal of the Royal Statistical Society Series B (Statistical Methodology). 48(2). 214–222. 72 indexed citations
11.
Prentice, Michael J.. (1984). A distribution-free method of interval estimation for unsigned directional data. Biometrika. 71(1). 147–154. 38 indexed citations
12.
Prentice, Michael J.. (1984). A Distribution-Free Method of Interval Estimation for Unsigned Directional Data. Biometrika. 71(1). 147–147. 1 indexed citations
13.
Prentice, Michael J.. (1982). Antipodally symmetric distributions for orientation statistics. Journal of Statistical Planning and Inference. 6(3). 205–214. 7 indexed citations
14.
Prentice, Michael J.. (1979). Note: Correction to "On Invariant Tests of Uniformity for Directions and Orientations". The Annals of Statistics. 7(4). 2 indexed citations
15.
Prentice, Michael J.. (1979). On the Problem of m Incomplete Rankings. Biometrika. 66(1). 167–167. 37 indexed citations
16.
Prentice, Michael J.. (1978). On Invariant Tests of Uniformity for Directions and Orientations. The Annals of Statistics. 6(1). 33 indexed citations

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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