Oliver R. Stoner

Oliver R. Stoner

University of Exeter

H-index: 8

Europe-United Kingdom

About Oliver R. Stoner

Oliver R. Stoner, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Exeter, specializes in the field of Statistical Modelling, Environmental Health.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quantitative Polymerase Chain Reaction for the estimation of toxigenic microalgae abundance in shellfish production waters

Correcting delayed reporting of COVID-19 using the generalized-Dirichlet-multinomial method

Fungal Pathogen Gene Selection for Predicting the Onset of Infection Using a Multi-Stage Machine Learning Approach

Quantifying Spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach

The advanced meteorology explorer: a novel stochastic, gridded daily rainfall generator

Artificial Intelligence approaches for predicting Harmful Algal Blooms (HABs)

Household cooking fuel estimates at global and country level for 1990 to 2030

An advanced hidden Markov model for hourly rainfall time series

Oliver R. Stoner Information

University

Position

Research Fellow

Citations(all)

725

Citations(since 2020)

713

Cited By

160

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

University of Exeter

Google Scholar

View Google Scholar Profile

Oliver R. Stoner Skills & Research Interests

Statistical Modelling

Environmental Health

Top articles of Oliver R. Stoner

Title

Journal

Author(s)

Publication Date

Quantitative Polymerase Chain Reaction for the estimation of toxigenic microalgae abundance in shellfish production waters

Harmful Algae

Jonathan S McQuillan

Ahmed Alrefaey

Andrew D Turner

Nadine Morrell

Oliver Stoner

...

2023/10/1

Correcting delayed reporting of COVID-19 using the generalized-Dirichlet-multinomial method

Biometrics

Oliver Stoner

Alba Halliday

Theo Economou

2023/9

Fungal Pathogen Gene Selection for Predicting the Onset of Infection Using a Multi-Stage Machine Learning Approach

bioRxiv

Graham Thomas

Oliver Stoner

Fabrizio Costa

Ryan M Ames

2023

Quantifying Spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach

Harmful Algae

Oliver Stoner

Theo Economou

Ricardo Torres

Ian Ashton

A Ross Brown

2023/1/1

The advanced meteorology explorer: a novel stochastic, gridded daily rainfall generator

Journal of Hydrology

Laura C Dawkins

Joe M Osborne

Theodoros Economou

Geoff JC Darch

Oliver R Stoner

2022/4/1

Artificial Intelligence approaches for predicting Harmful Algal Blooms (HABs)

A Brown

O Stoner

S Kay

A Turner

J McQuillan

...

2022/11/10

Household cooking fuel estimates at global and country level for 1990 to 2030

Nature communications

Oliver Stoner

Jessica Lewis

Itzel Lucio Martínez

Sophie Gumy

Theo Economou

...

2021/10/4

An advanced hidden Markov model for hourly rainfall time series

Computational Statistics & Data Analysis

Oliver Stoner

Theo Economou

2020/12/1

Multivariate hierarchical frameworks for modeling delayed reporting in count data

Biometrics

Oliver Stoner

Theo Economou

2020/9

Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking

Journal of the Royal Statistical Society Series C: Applied Statistics

Oliver Stoner

Gavin Shaddick

Theo Economou

Sophie Gumy

Jessica Lewis

...

2020/8

See List of Professors in Oliver R. Stoner University(University of Exeter)