D-Index & Metrics Best Publications
Mathematics
UK
2022

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 68 Citations 43,711 201 World Ranking 139 National Ranking 7

Research.com Recognitions

Awards & Achievements

2022 - Research.com Mathematics in United Kingdom Leader Award

2001 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Internal medicine
  • Ecology

Peter J. Diggle mostly deals with Statistics, Point process, Data mining, Applied mathematics and Spatial variability. His work on Econometrics expands to the thematically related Statistics. His Econometrics research is multidisciplinary, relying on both Logistic regression, Missing data, Marginal model, Covariance and Dropout.

His Point process research is multidisciplinary, incorporating perspectives in Point, Statistical physics, Inference and Cox process. His research in Data mining intersects with topics in Point pattern analysis, Linear model and Set. The study incorporates disciplines such as Smoothing, Kriging, Estimator, Bivariate analysis and Series in addition to Applied mathematics.

His most cited work include:

  • Analysis of longitudinal data (6941 citations)
  • Statistical analysis of spatial point patterns (2571 citations)
  • Model-based Geostatistics. (1836 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Statistics, Econometrics, Point process, Environmental health and Data mining. His research in Sampling, Poisson distribution, Spatial variability, Nonparametric statistics and Monte Carlo method are components of Statistics. His work on Environmental health is being expanded to include thematically relevant topics such as Public health.

His research is interdisciplinary, bridging the disciplines of Epidemiology and Public health. Much of his study explores Data mining relationship to Inference.

He most often published in these fields:

  • Statistics (25.16%)
  • Econometrics (10.29%)
  • Point process (9.64%)

What were the highlights of his more recent work (between 2017-2021)?

  • Demography (8.17%)
  • Environmental health (8.17%)
  • Severe acute respiratory syndrome coronavirus 2 (2.61%)

In recent papers he was focusing on the following fields of study:

Peter J. Diggle spends much of his time researching Demography, Environmental health, Severe acute respiratory syndrome coronavirus 2, Public health and Coronavirus disease 2019. The Demography study combines topics in areas such as Health care, Odds, Seasonality, Vaccination and Confounding. Peter J. Diggle interconnects Psychological intervention, Malaria and Incidence in the investigation of issues within Environmental health.

Many of his studies on Severe acute respiratory syndrome coronavirus 2 apply to Pandemic as well. His Public health research integrates issues from Leptospirosis, Leptospira and Epidemiology. Peter J. Diggle combines subjects such as Confidence interval and 2019-20 coronavirus outbreak with his study of Coronavirus disease 2019.

Between 2017 and 2021, his most popular works were:

  • Quantification of Leptospira interrogans Survival in Soil and Water Microcosms (40 citations)
  • Impact of the societal response to COVID-19 on access to healthcare for non-COVID-19 health issues in slum communities of Bangladesh, Kenya, Nigeria and Pakistan: results of pre-COVID and COVID-19 lockdown stakeholder engagements. (36 citations)
  • Community prevalence of SARS-CoV-2 virus in England during May 2020: REACT study (30 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Internal medicine
  • Ecology

His primary scientific interests are in Demography, Severe acute respiratory syndrome coronavirus 2, Coronavirus disease 2019, Interim report and Public health. His studies in Demography integrate themes in fields like Proportional hazards model, Odds, Health care and Propensity score matching. He focuses mostly in the field of Severe acute respiratory syndrome coronavirus 2, narrowing it down to topics relating to Pandemic and, in certain cases, Population level, 2019-20 coronavirus outbreak and Onchocerciasis.

His Public health study combines topics from a wide range of disciplines, such as Epidemiology, Environmental epidemiology, Environmental health, Statistical inference and Range. His research integrates issues of Mental health, Malaria, Incidence and Health policy in his study of Environmental health. His Incidence research is multidisciplinary, incorporating elements of Veterinary medicine, Data collection, Sewage and Spatial variability.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Analysis of longitudinal data

Peter Diggle;Patrick J. Heagerty;Kung-Yee Liang;Scott L. Zeger.
(1994)

12336 Citations

Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

Peter J. Diggle.
(2013)

5597 Citations

Statistical analysis of spatial point patterns

Peter J. Diggle.
(1983)

4491 Citations

Model-based Geostatistics.

P. J. Diggle;J. A. Tawn;R. A. Moyeed.
Journal of The Royal Statistical Society Series C-applied Statistics (2002)

3681 Citations

Informative Drop‐Out in Longitudinal Data Analysis

P. Diggle;M. G. Kenward.
Applied statistics (1994)

1455 Citations

Time Series: A Biostatistical Introduction

Peter J Diggle.
(1990)

1267 Citations

Joint modelling of longitudinal measurements and event time data.

Robin Henderson;Peter J. Diggle;Angela Dobson.
Biostatistics (2000)

988 Citations

Handbook of spatial statistics

Alan E. Gelfand;Peter Diggle;Peter Guttorp;Montserrat Fuentes.
(2010)

936 Citations

Spatial point pattern analysis and its application in geographical epidemiology

Anthony C. Gatrell;Trevor C. Bailey;Peter J. Diggle;Barry S. Rowlingson.
Transactions of the Institute of British Geographers (1996)

929 Citations

A Kernel Method for Smoothing Point Process Data

Peter Diggle.
Journal of The Royal Statistical Society Series C-applied Statistics (1985)

700 Citations

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