J. Burridge
- Statistics and Probability top 2%
- Surgery
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- A.P.R. WilsonM.C. KelseyMervyn J. SilvapulleN. A. HayesF. L. PearceJ.C. ForemanS. J. HirstPaola Sebastiani
- Topics
- Advanced Statistical Methods and Models (6 papers)Statistical Methods and Bayesian Inference (5 papers)Statistical Methods and Inference (5 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyComplementary and alternative medicine
- Journals
- NatureBiometrikaJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- United KingdomItalyAustralia
In The Last Decade
J. Burridge
17 papers receiving 395 citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 135
- Surgery 88
- Artificial Intelligence 74
- Management Science and Operations Research 61
- Statistics, Probability and Uncertainty 50
Countries citing papers authored by J. Burridge
This map shows the geographic impact of J. Burridge'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 J. Burridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Burridge more than expected).
Fields of papers citing papers by J. Burridge
This network shows the impact of papers produced by J. Burridge. 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 J. Burridge. The network helps show where J. Burridge may publish in the future.
Co-authorship network of co-authors of J. Burridge
This figure shows the co-authorship network connecting the top 25 collaborators of J. Burridge. A scholar is included among the top collaborators of J. Burridge 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 J. Burridge. J. Burridge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 27 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 19 | |
| 8 | 71 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 25 | |
| 12 | 88 | |
| 13 | 15 | |
| 14 | 34 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 64 |
About J. Burridge
J. Burridge is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 18 papers that have together received 440 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Statistical Methods and Inference (5 papers). The work is most often cited by research in Statistics and Probability (135 citations), Statistics, Probability and Uncertainty (50 citations) and Complementary and alternative medicine (45 citations). J. Burridge has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include A.P.R. Wilson, M.C. Kelsey, Mervyn J. Silvapulle, N. A. Hayes, F. L. Pearce, J.C. Foreman, S. J. Hirst, Paola Sebastiani, Steve Gallivan and Chris Sherlaw‐Johnson. Their work appears in journals such as Nature, Biometrika 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.