P. E. Jupp
Impact in
- Astronomy and Astrophysics top 10%
- Solar and Space Plasma Dynamics
- Stellar, planetary, and galactic studies
- Ionosphere and magnetosphere dynamics
- Astro and Planetary Science
- Statistics and Probability top 5%
- Census and Population Estimation
Papers in
-
- Census and Population Estimation 3
- Advanced Statistical Methods and Models 2
- Statistical Methods and Inference 1
- Random Matrices and Applications 1
-
- Bayesian Methods and Mixture Models 5
- Co-authors
- C. E. ParnellK. V. MardiaR. M. CormackRachel M. FewsterRW ByrneA. D. GordonKanti V. Mardia
- Journals
- Biometrika (4 papers)The Astrophysical Journal (1 paper)The Annals of Statistics (1 paper)British Journal of Mathematical and Statistical Psychology (1 paper)The Annals of Probability (1 paper)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
P. E. Jupp
8 papers receiving 308 citations
Peers
Comparison fields: 5 of 64
- Astronomy and Astrophysics 191
- Statistics and Probability 66
- Geometry and Topology 21
- Artificial Intelligence 70
- 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-authorship network
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 | 2009 | 15 | |
| 2 | 2007 | 3 | |
| 3 | 2000 | 198 | |
| 4 | 1991 | 29 | |
| 5 | 1989 | 10 | |
| 6 | 1980 | 3 | |
| 7 | 1979 | 63 | |
| 8 | 1978 | 3 |
About P. E. Jupp
P. E. Jupp is a scholar working on Statistics and Probability, Artificial Intelligence, Geometry and Topology, Automotive Engineering and Astronomy and Astrophysics, having authored 8 papers that have together received 324 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), Animal Ecology and Behavior Studies (1 paper), Morphological variations and asymmetry (1 paper), Statistical Methods and Inference (1 paper), Random Matrices and Applications (1 paper) and Solar and Space Plasma Dynamics (1 paper). The work is most often cited by research in Astronomy and Astrophysics (191 citations), Statistics and Probability (66 citations), Geometry and Topology (21 citations), Artificial Intelligence (70 citations) and Statistical and Nonlinear Physics (16 citations). P. E. Jupp has collaborated with scholars based in United Kingdom, New Zealand and United States. 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 Astrophysical Journal, The Annals of Statistics, British Journal of Mathematical and Statistical Psychology 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.