Peter J. Diggle

41.6k total citations · 9 hit papers
447 papers, 27.3k citations indexed

About

Peter J. Diggle is a scholar working on Statistics and Probability, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Peter J. Diggle has authored 447 papers receiving a total of 27.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Statistics and Probability, 60 papers in Epidemiology and 56 papers in Economics and Econometrics. Recurrent topics in Peter J. Diggle's work include Soil Geostatistics and Mapping (48 papers), Spatial and Panel Data Analysis (43 papers) and Statistical Methods and Bayesian Inference (41 papers). Peter J. Diggle is often cited by papers focused on Soil Geostatistics and Mapping (48 papers), Spatial and Panel Data Analysis (43 papers) and Statistical Methods and Bayesian Inference (41 papers). Peter J. Diggle collaborates with scholars based in United Kingdom, United States and Australia. Peter J. Diggle's co-authors include Scott L. Zeger, Rana Moyeed, Patrick J. Heagerty, Kung‐Yee Liang, Jonathan A. Tawn, Barry Rowlingson, Paulo Justiniano Ribeiro, Julia E. Kelsall, Chris P. Tsokos and Julian Besag and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Peter J. Diggle

437 papers receiving 26.0k citations

Hit Papers

Analysis of Longitudinal Data 1992 2026 2003 2014 2002 1998 1995 2007 2010 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter J. Diggle United Kingdom 83 4.4k 3.6k 3.1k 2.8k 2.7k 447 27.3k
Scott L. Zeger United States 83 10.2k 2.3× 5.0k 1.4× 5.0k 1.6× 3.3k 1.2× 2.4k 0.9× 344 55.9k
John B. Carlin Australia 97 4.7k 1.1× 2.4k 0.7× 6.1k 1.9× 664 0.2× 2.0k 0.7× 488 51.3k
Håvard Rue Norway 48 3.3k 0.7× 3.0k 0.8× 1.3k 0.4× 2.7k 1.0× 501 0.2× 192 15.4k
David J. Spiegelhalter United Kingdom 59 9.5k 2.1× 5.0k 1.4× 2.5k 0.8× 932 0.3× 791 0.3× 133 35.1k
Gary G. Koch United States 75 3.6k 0.8× 3.2k 0.9× 8.3k 2.6× 827 0.3× 2.1k 0.8× 485 89.9k
David W. Hosmer United States 46 2.1k 0.5× 3.0k 0.9× 6.5k 2.1× 521 0.2× 2.1k 0.8× 114 50.4k
Yoav Benjamini Israel 44 5.3k 1.2× 1.6k 0.5× 5.5k 1.7× 468 0.2× 2.2k 0.8× 144 101.1k
J. Richard Landis United States 68 2.1k 0.5× 2.5k 0.7× 8.3k 2.6× 798 0.3× 1.8k 0.7× 246 81.1k
Adrian E. Raftery United States 79 8.6k 1.9× 5.8k 1.6× 1.7k 0.6× 3.4k 1.2× 842 0.3× 277 55.6k
Stanley Lemeshow United States 71 2.1k 0.5× 3.6k 1.0× 11.0k 3.5× 560 0.2× 2.4k 0.9× 227 59.4k

Countries citing papers authored by Peter J. Diggle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Peter J. Diggle

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Diggle. A scholar is included among the top collaborators of Peter J. Diggle 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 Peter J. Diggle. Peter J. Diggle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lamb, Thomas, et al.. (2024). A systematic review of variables associated with snakebite risk in spatial and temporal analyses. Transactions of the Royal Society of Tropical Medicine and Hygiene. 119(9). 1084–1099. 3 indexed citations
2.
Kura, Klodeta, Wilma A. Stolk, María‐Gloria Basáñez, et al.. (2024). How Does the Proportion of Never Treatment Influence the Success of Mass Drug Administration Programs for the Elimination of Lymphatic Filariasis?. Clinical Infectious Diseases. 78(Supplement_2). S93–S100. 6 indexed citations
3.
Diggle, Peter J. & Emanuele Giorgi. (2024). Time Series. University of Birmingham Research Portal (University of Birmingham). 2 indexed citations
5.
Sedda, Luigi, et al.. (2022). A joint distribution framework to improve presence‐only species distribution models by exploiting opportunistic surveys. Journal of Biogeography. 49(6). 1176–1192. 4 indexed citations
6.
Khalil, Hussein, Daiana de Oliveira, Max T. Eyre, et al.. (2021). Poverty, sanitation, and Leptospira transmission pathways in residents from four Brazilian slums. PLoS neglected tropical diseases. 15(3). e0009256–e0009256. 35 indexed citations
7.
Erinjery, Joseph J., Gerardo Martín, Anuradhani Kasturiratne, et al.. (2021). Integrating human behavior and snake ecology with agent-based models to predict snakebite in high risk landscapes. PLoS neglected tropical diseases. 15(1). e0009047–e0009047. 29 indexed citations
8.
Sapey, Elizabeth, Suzy Gallier, Peter Nightingale, et al.. (2020). Ethnicity and risk of death in patients hospitalised for COVID-19 infection in the UK: an observational cohort study in an urban catchment area. BMJ Open Respiratory Research. 7(1). e000644–e000644. 55 indexed citations
9.
Riley, Steven, Oliver Eales, Haowei Wang, et al.. (2020). REACT-1 round 7 interim report: fall in prevalence of swab-positivity in England during national lockdown. medRxiv. 2 indexed citations
11.
Schlüter, Daniela K, Rowena Griffiths, Ashley Akbari, et al.. (2018). Impact of cystic fibrosis on birthweight: a population based study of children in Denmark and Wales. Thorax. 74(5). 447–454. 15 indexed citations
12.
Diggle, Peter J. & Robin K. Milne. (2016). Negative Binomial Quadrat Counts and Point Processes. Scandinavian Journal of Statistics. 10(4). 257–267. 14 indexed citations
13.
Backman, Ruth, Robbie Foy, Peter J. Diggle, et al.. (2015). The evaluation of a tailored intervention to improve the management of suspected viral encephalitis: protocol for a cluster randomised controlled trial. Implementation Science. 10(1). 14–14. 4 indexed citations
14.
Taylor‐Robinson, David, et al.. (2013). Author's response: Understanding the natural progression in %FEV decline in patients with cystic fibrosis: A longitudinal study. UCL Discovery (University College London).
15.
Gabriel, Edith, Barry Rowlingson, & Peter J. Diggle. (2013). stpp : An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns. SHILAP Revista de lepidopterología. 7 indexed citations
16.
Rowlingson, Barry, et al.. (2013). Mapping English GP prescribing data: a tool for monitoring health-service inequalities. BMJ Open. 3(1). e001363–e001363. 13 indexed citations
17.
Diggle, Peter J., et al.. (2007). On the Operational Characteristics of the Benjamini and Hochberg False Discovery Rate Procedure. Statistical Applications in Genetics and Molecular Biology. 6(1). Article27–Article27. 103 indexed citations
18.
Grégoire, Timothy G., Peter J. Diggle, W. G. Warren, et al.. (1999). Modelling Longitudinal and Spatially Correlated Data. Technometrics. 41(1). 82–83. 1 indexed citations
19.
Diggle, Peter J., et al.. (1997). Spectral analysis of replicated biomedical time series (with discussion).. Lancaster EPrints (Lancaster University). 6 indexed citations
20.
Diggle, Peter J.. (1994). Discussion to Diggle, P. J. and Kenward, M. G. : Informative drop-out in longitudinal data analysis. Journal of the Royal Statistical Society Series C (Applied Statistics). 43. 84. 22 indexed citations

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.

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