Theo Economou

Theo Economou

University of Exeter

H-index: 24

Europe-United Kingdom

About Theo Economou

Theo Economou, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Exeter, specializes in the field of Climate change and health, Bayesian statistical modelling, Environmental science, Epedimiology.

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

Quantifying overheating risk in English schools: A spatially coherent climate risk assessment

A hierarchical spline model for correcting and hindcasting temperature data

Multivariate adjustment of drizzle bias using machine learning in European climate projections

Applying an ecosystem services framework on nature and mental health to recreational blue space visits across 18 countries

Bias Correction of Daily Precipitation on Two Eastern Mediterranean Stations with GAMs

Assessing climate risk using ensembles: A novel framework for applying and extending open-source climate risk assessment platforms

Calculation of future Wet and Dry spells duration in Europe, using bias corrected data from the Q-GAM method

A general framework to obtain seamless seasonal–directional extreme individual wave heights—Showcase Ekofisk

Theo Economou Information

University

Position

Lecturer

Citations(all)

1970

Citations(since 2020)

1572

Cited By

753

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

42

i10Index(since 2020)

37

Email

University Profile Page

University of Exeter

Google Scholar

View Google Scholar Profile

Theo Economou Skills & Research Interests

Climate change and health

Bayesian statistical modelling

Environmental science

Epedimiology

Top articles of Theo Economou

Title

Journal

Author(s)

Publication Date

Quantifying overheating risk in English schools: A spatially coherent climate risk assessment

Climate Risk Management

Laura C Dawkins

Kate Brown

Dan J Bernie

Jason A Lowe

Theodoros Economou

...

2024/1/1

A hierarchical spline model for correcting and hindcasting temperature data

The Annals of Applied Statistics

Theodoros Economou

Catrina Johnson

Elizabeth Dyson

2024/6

Multivariate adjustment of drizzle bias using machine learning in European climate projections

EGUsphere

Georgia Lazoglou

Theo Economou

Christina Anagnostopoulou

George Zittis

Anna Tzyrkalli

...

2024/2/23

Applying an ecosystem services framework on nature and mental health to recreational blue space visits across 18 countries

Scientific Reports

Joanne K Garrett

Mathew P White

Lewis R Elliott

James Grellier

Simon Bell

...

2023/3/6

Bias Correction of Daily Precipitation on Two Eastern Mediterranean Stations with GAMs

Environmental Sciences Proceedings

Georgia Lazoglou

Theo Economou

Christina Anagnostopoulou

Anna Tzyrkalli

George Zittis

...

2023/8/23

Assessing climate risk using ensembles: A novel framework for applying and extending open-source climate risk assessment platforms

Climate Risk Management

Laura C Dawkins

Dan J Bernie

Jason A Lowe

Theodoros Economou

2023/1/1

Calculation of future Wet and Dry spells duration in Europe, using bias corrected data from the Q-GAM method

Georgia Lazoglou

Christina Anagnostopoulou

Theo Economou

Anna Tzyrkalli

George Zittis

...

2023/7/6

A general framework to obtain seamless seasonal–directional extreme individual wave heights—Showcase Ekofisk

Ocean Engineering

Patrik Bohlinger

Theodoros Economou

Ole Johan Aarnes

Mika Malila

Øyvind Breivik

2023/2/15

Developing a System for Integrated Environmental Information in Urban Areas: An Estimation of the Impact of Thermal Stress on Health

Environmental Sciences Proceedings

Dimitrios Melas

Daphne Parliari

Theo Economou

Christos Giannaros

Natalia Liora

...

2023/8/29

Can learning regression features by computer vision improve the generalisation of geostastistical interpolators?

EGU General Assembly Conference Abstracts

Charlie Kirkwood

Theo Economou

Henry Odbert

Nicolas Pugeault

2023/5

Proliferation of atmospheric datasets can hinder policy making: a data blending technique offers a solution

Frontiers in big Data

Hamish Steptoe

Theo Economou

2023/8/8

Quantifying uncertainty and sensitivity in climate risk assessments: Varying hazard, exposure and vulnerability modelling choices

Climate Risk Management

Laura C Dawkins

Dan J Bernie

Francesca Pianosi

Jason A Lowe

Theodoros Economou

2023/1/1

Seasonality of cholera in Kolkata and the influence of climate

BMC Infectious Diseases

Debbie Shackleton

Theo Economou

Fayyaz Ali Memon

Albert Chen

Shanta Dutta

...

2023/9/2

Quantification of the Urban Heat Island effect using paired station data in the Middle East and North Africa region

Anna Tzyrkalli

Georgia Lazoglou

Katiana Constantinidou

Theo Economou

Panos Hadjinicolaou

2023/6/30

The temperature sensitivity of mono-and sesquiterpene emissions from terrestrial vegetation: Insights from a meta-analysis

EGU General Assembly Conference Abstracts

Efstratios Bourtsoukidis

Andrea Pozzer

Jonathan Williams

David Makowski

Josep Peñuelas

...

2023/5

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

A data integration framework for spatial interpolation of temperature observations using climate model data

PeerJ

Theo Economou

Georgia Lazoglou

Anna Tzyrkalli

Katiana Constantinidou

Jos Lelieveld

2023/1/10

Exploring the Association of Heat Stress and Human Health in Cyprus

Environmental Sciences Proceedings

Fragkeskos Kekkou

Georgia Lazoglou

Theo Economou

Christina Anagnostopoulou

2023/8/28

Drivers of accelerated warming in Mediterranean climate-type regions

npj Climate and Atmospheric Science

Diego Urdiales-Flores

George Zittis

Panos Hadjinicolaou

Sergey Osipov

Klaus Klingmüller

...

2023/7/20

Current and future trends in heat-related mortality in the MENA region: a health impact assessment with bias-adjusted statistically downscaled CMIP6 (SSP-based) data and …

Shakoor Hajat

Yiannis Proestos

Jose-Luis Araya-Lopez

Theo Economou

Jos Lelieveld

2023/4/1

See List of Professors in Theo Economou University(University of Exeter)

Co-Authors

H-index: 88
Lora E Fleming

Lora E Fleming

University of Exeter

H-index: 74
Professor David Stephenson

Professor David Stephenson

University of Exeter

H-index: 30
Trevor Bailey

Trevor Bailey

University of Exeter

H-index: 8
Oliver R. Stoner

Oliver R. Stoner

University of Exeter

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