Michael J. Prentice

480 citations
16 papers · 341 · h-index 10

Impact in

Papers in

Michael J. Prentice

16 papers receiving 303 citations

Peers

Michael J. Prentice
Comparison fields: 5 of 84
  • Statistics and Probability 76
  • Geometry and Topology 69
  • Environmental Engineering 64
  • Applied Mathematics 44
  • Artificial Intelligence 75
Replace Beatriz Pateiro‐López with:
Beatriz Pateiro‐López Spain
C. M. Theobald United Kingdom
Alfred Kume United Kingdom
Suman Rakshit Australia
Robert J. MacG. Dawson Canada
Shogo Kato Japan
Jakob Gulddahl Rasmussen Denmark
Abhijit Dasgupta United States
Ron Evans United States
Norman C. Severo United States
Michael J. Prentice relative to Beatriz Pateiro‐López Spain Beatriz Pateiro‐López's profile →
Citations per field
00.5×3.1×
Beatriz Pateiro‐López · 1×
Citations per year

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-authors

The 5 scholars most cited alongside Michael J. Prentice, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael J. Prentice Line = papers co-authored together Michael J. Prentice links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 198672
2 199753
3 198438
4 197937
5 197834
6 200024
7 198918
8 198717
9 199513
10 19879
11 19959
12 19827
13 19995
14 19792
15 19882
16 19841

About Michael J. Prentice

Michael J. Prentice is a scholar working on Applied Mathematics, Molecular Biology, Artificial Intelligence, Environmental Engineering and Geometry and Topology, having authored 16 papers that have together received 341 indexed citations. Recurring topics across this work include Statistical and numerical algorithms (6 papers), Soil Geostatistics and Mapping (5 papers), Bayesian Methods and Mixture Models (4 papers), Morphological variations and asymmetry (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetic diversity and population structure (2 papers), Geomagnetism and Paleomagnetism Studies (2 papers) and Advanced Scientific Research Methods (1 paper). The work is most often cited by research in Statistics and Probability (76 citations), Geometry and Topology (69 citations), Environmental Engineering (64 citations), Applied Mathematics (44 citations) and Artificial Intelligence (75 citations). Michael J. Prentice has collaborated with scholars based in United Kingdom. Frequent co-authors include Gráinne McGuire, Frank Wright, N. I. Fisher, Roy Thompson and Kanti V. Mardia. Their work appears in journals such as Biometrika, The Annals of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology), Molecular Biology and Evolution and Biometrics.

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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