Peter J. Diggle
- Statistics and Probability top 0.02%
- Statistical Methods and Bayesian Inference 41
- Statistical Methods and Inference 31
- Parasitology top 0.2%
- Environmental Engineering top 0.1%
- Soil Geostatistics and Mapping 48
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 25
- Infectious Diseases top 0.5%
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- Spatial and Panel Data Analysis 43
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- Point processes and geometric inequalities 38
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- Data-Driven Disease Surveillance 24
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- Bayesian Methods and Mixture Models 22
- Co-authors
- Scott L. ZegerRana MoyeedKung‐Yee LiangPatrick J. HeagertyJonathan A. TawnBarry RowlingsonPaulo Justiniano RibeiroJulia E. Kelsall
- Journals
- Journal of the American Statistical Association (20 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (16 papers)PLoS neglected tropical diseases (14 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Peter J. Diggle
437 papers receiving 26.0k citations
Hit Papers
Peers
Comparison fields: 5 of 231
- Statistics and Probability 4.4k
- Parasitology 1.5k
- Environmental Engineering 2.8k
- Modeling and Simulation 912
- Infectious Diseases 2.7k
Countries citing papers authored by Peter J. Diggle
This map shows the geographic impact of Peter J. Diggle'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 Peter J. Diggle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Diggle more than expected).
Fields of papers citing papers by Peter J. Diggle
This network shows the impact of papers produced by Peter J. Diggle. 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 Peter J. Diggle. The network helps show where Peter J. Diggle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter J. Diggle, 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 | 2024 | 6 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 90 | |
| 8 | 2021 | 21 | |
| 9 | 2020 | 55 | |
| 10 | 2020 | 19 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 8 | |
| 13 | 2018 | 22 | |
| 14 | Web-based integrated bipolar parenting intervention (IBPI) for parents with bipolar disorder : intervention development and evaluation in a randomised controlled pilot trial | 2018 | 2 |
| 15 | Author's response: Understanding the natural progression in %FEV decline in patients with cystic fibrosis: A longitudinal study | 2013 | 0 |
| 16 | stpp : An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns | 2013 | 7 |
| 17 | 2013 | 23 | |
| 18 | 2000 | 32 | |
| 19 | 1999 | 1 | |
| 20 | 1986 | 24 |
About Peter J. Diggle
Peter J. Diggle is a scholar working on Statistics and Probability, Parasitology and Modeling and Simulation, having authored 447 papers that have together received 27.3k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (48 papers), Spatial and Panel Data Analysis (43 papers), Statistical Methods and Bayesian Inference (41 papers), Point processes and geometric inequalities (38 papers), Statistical Methods and Inference (31 papers), COVID-19 epidemiological studies (25 papers), Data-Driven Disease Surveillance (24 papers) and Bayesian Methods and Mixture Models (22 papers). The work is most often cited by research in Statistics and Probability (4.4k citations), Parasitology (1.5k citations) and Environmental Engineering (2.8k citations). Peter J. Diggle has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Scott L. Zeger, Rana Moyeed, Kung‐Yee Liang, Patrick J. Heagerty, Jonathan A. Tawn, Barry Rowlingson, Paulo Justiniano Ribeiro, Julia E. Kelsall, Chris P. Tsokos and Julian Besag. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series C (Applied Statistics), PLoS neglected tropical diseases, Biometrics and Statistics in Medicine.
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.