P. L. Davies
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.5%
- Artificial Intelligence top 10%
- Applied Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Ursula GatherMyoungshic JhunRonald W. ButlerArne KovacRoland FriedThoralf MildenbergerHans‐Hermann BockDieter Mergel
- Topics
- Advanced Statistical Methods and Models (14 papers)Statistical Methods and Inference (11 papers)Statistical Methods and Bayesian Inference (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Annals of StatisticsThe Annals of Probability
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
P. L. Davies
31 papers receiving 863 citations
Peers
Comparison fields: 5 of 94
- Statistics and Probability 655
- Statistics, Probability and Uncertainty 332
- Artificial Intelligence 113
- Applied Mathematics 92
- Computer Vision and Pattern Recognition 90
Countries citing papers authored by P. L. Davies
This map shows the geographic impact of P. L. Davies'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. L. Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. L. Davies more than expected).
Fields of papers citing papers by P. L. Davies
This network shows the impact of papers produced by P. L. Davies. 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. L. Davies. The network helps show where P. L. Davies may publish in the future.
Co-authorship network of co-authors of P. L. Davies
This figure shows the co-authorship network connecting the top 25 collaborators of P. L. Davies. A scholar is included among the top collaborators of P. L. Davies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. L. Davies. P. L. Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | Constructing a regular histogram : a comparison of methods | 1 |
| 8 | 60 | |
| 9 | Approximating data and statistical procedures. I. Approximating data | 1 |
| 10 | 1 | |
| 11 | 159 | |
| 12 | 9 | |
| 13 | 30 | |
| 14 | 1 | |
| 15 | 267 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 1 |
About P. L. Davies
P. L. Davies is a scholar working on Statistics and Probability, Mathematical Physics and Applied Mathematics, having authored 34 papers that have together received 944 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (14 papers), Statistical Methods and Inference (11 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (655 citations), Statistics, Probability and Uncertainty (332 citations) and Applied Mathematics (92 citations). P. L. Davies has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Ursula Gather, Myoungshic Jhun, Ronald W. Butler, Arne Kovac, Roland Fried, Thoralf Mildenberger, Hans‐Hermann Bock, Dieter Mergel, Walter Krämer and Ludwig Baringhaus. Their work appears in journals such as SHILAP Revista de lepidopterología, The Annals of Statistics 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.