Pamela J. Davy
- Applied Mathematics top 5%
- Statistics and Probability top 5%
- Artificial Intelligence
- Geometry and Topology top 10%
- Food Science
- Topics
- Point processes and geometric inequalities (5 papers)Geochemistry and Geologic Mapping (4 papers)Sensory Analysis and Statistical Methods (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaEcological ApplicationsJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- AustraliaIrelandUnited Kingdom
In The Last Decade
Pamela J. Davy
23 papers receiving 450 citations
Peers
Comparison fields: 5 of 131
- Applied Mathematics 130
- Statistics and Probability 60
- Artificial Intelligence 55
- Geometry and Topology 51
- Food Science 50
Countries citing papers authored by Pamela J. Davy
This map shows the geographic impact of Pamela J. Davy'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 Pamela J. Davy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela J. Davy more than expected).
Fields of papers citing papers by Pamela J. Davy
This network shows the impact of papers produced by Pamela J. Davy. 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 Pamela J. Davy. The network helps show where Pamela J. Davy may publish in the future.
Co-authorship network of co-authors of Pamela J. Davy
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela J. Davy. A scholar is included among the top collaborators of Pamela J. Davy 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 Pamela J. Davy. Pamela J. Davy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 41 | |
| 3 | Multiple States of Financially Distressed Companies : Tests using a Competing-Risks Model | 16 |
| 4 | 9 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | Generalised correlations and Simpson's paradox | 5 |
| 8 | 28 | |
| 9 | 41 | |
| 10 | The relative efficiency of point count estimators of areal cover | 1 |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 31 | |
| 16 | 8 | |
| 17 | 31 | |
| 18 | 46 | |
| 19 | 28 | |
| 20 | 102 |
About Pamela J. Davy
Pamela J. Davy is a scholar working on Applied Mathematics, Statistics and Probability and Occupational Therapy, having authored 25 papers that have together received 508 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (5 papers), Geochemistry and Geologic Mapping (4 papers) and Sensory Analysis and Statistical Methods (4 papers). The work is most often cited by research in Applied Mathematics (130 citations), Computational Mathematics (6 citations) and Statistics and Probability (60 citations). Pamela J. Davy has collaborated with scholars based in Australia, Ireland and United Kingdom. Frequent co-authors include R. E. Miles, Eric J. Beh, F.J. Guild, Siyu Qian, Ping Yu, Mark Nelson, David Hailey, Michael McCrae, Gary Gang Tian and Nongnit Chancharat. Their work appears in journals such as SHILAP Revista de lepidopterología, Ecological Applications and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.