Peter J. Diggle

437 papers receiving 26.0k citations

Peter J. Diggle's Hit Papers

Veterinary Epidemiology 2018 · 504 citations
5040+11+22Years since publication50010001.5k2.0k2.5k

Peers

Peter J. Diggle
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
Replace B. D. Ripley with:
B. D. Ripley United Kingdom
Håvard Rue Norway
J. A. Nelder United Kingdom
Hirotugu Akaike Japan
David J. Spiegelhalter United Kingdom
Adrian E. Raftery United States
Yoav Benjamini Israel
Scott L. Zeger United States
Peter McCullagh Australia
Gary G. Koch United States
Peter J. Diggle relative to B. D. Ripley United Kingdom B. D. Ripley's profile →
Citations per field
00.5×3.9×
B. D. Ripley · 1×
Citations per year

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-authors

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.

Border = papers with Peter J. Diggle Line = papers co-authored together Peter J. Diggle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 447 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analysis of Longitudinal Data
Hit paper breakdown →
20022535
2
Model-Based Geostatistics
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19981598
3
Analysis of Longitudinal Data.
Hit paper breakdown →
1995956
4
Model-based Geostatistics
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2007731
5
Handbook of Spatial Statistics
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2010558
6
Spatial Point Pattern Analysis and Its Application in Geographical Epidemiology
Hit paper breakdown →
1996556
7
Time Series: A Biostatistical Introduction
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1992543
8
Veterinary Epidemiology
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2018504
9
Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
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2013466
10 1985408
11 1997395
12 1993389
13 1977369
14 1988365
15 1994341
16 2008335
17 1990333
18
Informative dropout in longitudinal data analysis (with discussion)
1994272
19 1984258
20
Model-based geostatistics (with discussion).
1998254

About Peter J. Diggle

Peter J. Diggle is a scholar working on Statistics and Probability, Epidemiology, Economics and Econometrics, Infectious Diseases and Environmental Engineering, 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), Environmental Engineering (2.8k citations), Modeling and Simulation (912 citations) and Infectious Diseases (2.7k 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.

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