Michael J. Prentice
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Geometry and Topology top 5%
- Morphological variations and asymmetry
Papers in
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- Bayesian Methods and Mixture Models 5
-
- Statistical and numerical algorithms 6
- Co-authors
- Gráinne McGuire (3 shared papers)Frank Wright (3 shared papers)N. I. Fisher (1 shared paper)Kanti V. Mardia (1 shared paper)Roy Thompson (1 shared paper)Ronald Pyke (1 shared paper)
- Journals
- Biometrika (3 papers)The Annals of Statistics (3 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Biometrics (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Michael J. Prentice
17 papers receiving 324 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 81
- Geometry and Topology 75
- Environmental Engineering 66
- Applied Mathematics 45
- Artificial Intelligence 81
Countries citing papers authored by Michael J. Prentice
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
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 6 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 76 | |
| 2 | 1997 | 56 | |
| 3 | 1984 | 39 | |
| 4 | 1979 | 38 | |
| 5 | 1978 | 35 | |
| 6 | 2000 | 26 | |
| 7 | 1989 | 18 | |
| 8 | 1987 | 18 | |
| 9 | 1995 | 14 | |
| 10 | 1987 | 11 | |
| 11 | 1995 | 11 | |
| 12 | 1982 | 9 | |
| 13 | 1999 | 5 | |
| 14 | 1989 | 4 | |
| 15 | 1979 | 2 | |
| 16 | 1988 | 2 | |
| 17 | 1984 | 1 |
About Michael J. Prentice
Michael J. Prentice is a scholar working on Artificial Intelligence, Applied Mathematics, Molecular Biology, Environmental Engineering and Geometry and Topology, having authored 17 papers that have together received 365 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 (5 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 (81 citations), Geometry and Topology (75 citations), Environmental Engineering (66 citations), Applied Mathematics (45 citations) and Artificial Intelligence (81 citations). Michael J. Prentice has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Gráinne McGuire, Frank Wright, N. I. Fisher, Kanti V. Mardia, Roy Thompson and Ronald Pyke. Their work appears in journals such as Biometrika, The Annals of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the Royal Statistical Society Series C (Applied Statistics) 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.