Peter E. Jupp
- Statistics and Probability top 0.5%
- Advanced Statistical Methods and Models 12
- Statistical Methods and Bayesian Inference 7
- Statistical Methods and Inference 4
- Geometry and Topology top 2%
- Morphological variations and asymmetry 10
- Artificial Intelligence top 1%
- Bayesian Methods and Mixture Models 11
- Geochemistry and Geologic Mapping 4
- Environmental Engineering top 2%
- Soil Geostatistics and Mapping 9
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- Statistical and numerical algorithms 6
Peter E. Jupp
58 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Statistics and Probability 566
- Geometry and Topology 353
- Artificial Intelligence 1.0k
- Environmental Engineering 461
- Statistical and Nonlinear Physics 397
Countries citing papers authored by Peter E. Jupp
This map shows the geographic impact of Peter E. Jupp'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 Peter E. Jupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. Jupp more than expected).
Fields of papers citing papers by Peter E. Jupp
This network shows the impact of papers produced by Peter E. Jupp. 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 Peter E. Jupp. The network helps show where Peter E. Jupp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter E. Jupp, 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 | 2023 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2018 | 4 | |
| 4 | 2017 | 5 | |
| 5 | 2016 | 6 | |
| 6 | 2015 | 3 | |
| 7 | 2013 | 4 | |
| 8 | 2010 | 34 | |
| 9 | 2008 | 123 | |
| 10 | 2006 | 2 | |
| 11 | 2004 | 7 | |
| 12 | 2003 | 7 | |
| 13 | On quantum statistical interference | 2001 | 2 |
| 14 | 2001 | 12 | |
| 15 | 2001 | 3 | |
| 16 | Directional Statisticsbreakdown → | 1999 | 2286 |
| 17 | 1998 | 4 | |
| 18 | 1992 | 2 | |
| 19 | 1982 | 12 | |
| 20 | 1981 | 1 |
About Peter E. Jupp
Peter E. Jupp is a scholar working on Statistics and Probability, Geometry and Topology, Applied Mathematics, Artificial Intelligence and Environmental Engineering, having authored 60 papers that have together received 4.6k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (12 papers), Bayesian Methods and Mixture Models (11 papers), Morphological variations and asymmetry (10 papers), Soil Geostatistics and Mapping (9 papers), Statistical Methods and Bayesian Inference (7 papers), Statistical and numerical algorithms (6 papers), Geochemistry and Geologic Mapping (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Statistics and Probability (566 citations), Geometry and Topology (353 citations), Artificial Intelligence (1.0k citations), Environmental Engineering (461 citations) and Statistical and Nonlinear Physics (397 citations). Peter E. Jupp has collaborated with scholars based in United Kingdom, New Zealand and Denmark. Frequent co-authors include Kanti V. Mardia, M. Tribus, R. D. Levine, B. J. J. Embleton, N. I. Fisher, T. Lewis, John T. Kent, Ole E. Barndorff–Nielsen, K. V. Mardia and René Thom. Their work appears in journals such as Journal of Multivariate Analysis, Biometrika, The Annals of Statistics, Biometrics and Mathematical Proceedings of the Cambridge Philosophical Society.
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.