P. E. Jupp
Impact in
- Astronomy and Astrophysics top 10%
- Solar and Space Plasma Dynamics
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Ionosphere and magnetosphere dynamics
- Statistics and Probability top 5%
- Census and Population Estimation
Papers in
-
- Bayesian Methods and Mixture Models 5
-
- Census and Population Estimation 3
- Advanced Statistical Methods and Models 2
- Random Matrices and Applications 1
- Statistical Methods and Bayesian Inference 1
- Co-authors
- C. E. Parnell (1 shared paper)K. V. Mardia (2 shared papers)R. M. Cormack (1 shared paper)Rachel M. Fewster (1 shared paper)RW Byrne (1 shared paper)A. D. Gordon (1 shared paper)Kanti V. Mardia (1 shared paper)
- Journals
- Biometrika (4 papers)The Annals of Statistics (1 paper)British Journal of Mathematical and Statistical Psychology (1 paper)The Astrophysical Journal (1 paper)The Annals of Probability (1 paper)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
P. E. Jupp
8 papers receiving 333 citations
Peers
Comparison fields: 5 of 62
- Astronomy and Astrophysics 211
- Statistics and Probability 69
- Geometry and Topology 23
- Artificial Intelligence 77
- Statistical and Nonlinear Physics 16
Countries citing papers authored by P. E. Jupp
This map shows the geographic impact of P. 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 P. 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 P. E. Jupp more than expected).
Fields of papers citing papers by P. E. Jupp
This network shows the impact of papers produced by P. 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 P. E. Jupp. The network helps show where P. E. Jupp may publish in the future.
Co-authors
The 7 scholars most cited alongside P. 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 | 2000 | 218 | |
| 2 | 1979 | 67 | |
| 3 | 1991 | 29 | |
| 4 | 2009 | 17 | |
| 5 | 1989 | 12 | |
| 6 | 1980 | 3 | |
| 7 | 2007 | 3 | |
| 8 | 1978 | 3 |
About P. E. Jupp
P. E. Jupp is a scholar working on Artificial Intelligence, Statistics and Probability, Automotive Engineering, Astronomy and Astrophysics and Ecology, Evolution, Behavior and Systematics, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Census and Population Estimation (3 papers), Advanced Statistical Methods and Models (2 papers), Stellar, planetary, and galactic studies (1 paper), Random Matrices and Applications (1 paper), Statistical Methods and Bayesian Inference (1 paper), Spatial Cognition and Navigation (1 paper) and Wildlife Ecology and Conservation (1 paper). The work is most often cited by research in Astronomy and Astrophysics (211 citations), Statistics and Probability (69 citations), Geometry and Topology (23 citations), Artificial Intelligence (77 citations) and Statistical and Nonlinear Physics (16 citations). P. E. Jupp has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include C. E. Parnell, K. V. Mardia, R. M. Cormack, Rachel M. Fewster, RW Byrne, A. D. Gordon and Kanti V. Mardia. Their work appears in journals such as Biometrika, The Annals of Statistics, British Journal of Mathematical and Statistical Psychology, The Astrophysical Journal and The Annals of Probability.
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.