Thomas Torsney-Weir

Thomas Torsney-Weir

Swansea University

H-index: 9

Europe-United Kingdom

About Thomas Torsney-Weir

Thomas Torsney-Weir, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Swansea University, specializes in the field of Visualization, machine learning, sensitivity analysis, software engineering.

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

Development and evaluation of two approaches of visual sensitivity analysis to support epidemiological modeling

Complex model calibration through emulation, a worked example for a stochastic epidemic model

RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses

Correction to: ‘Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations’ (2022) by Dykes et al.

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

VisGuided: A community-driven approach for education in visualization

Uncertainty quantification: a tutorial on a stochastic epidemic model

An interactive tool for enhancing hospital capacity predictions using an epidemiological model

Thomas Torsney-Weir Information

University

Position

___

Citations(all)

670

Citations(since 2020)

407

Cited By

412

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Thomas Torsney-Weir Skills & Research Interests

Visualization

machine learning

sensitivity analysis

software engineering

Top articles of Thomas Torsney-Weir

Title

Journal

Author(s)

Publication Date

Development and evaluation of two approaches of visual sensitivity analysis to support epidemiological modeling

IEEE Transactions on Visualization and Computer Graphics

Erik Rydow

Rita Borgo

Hui Fang

Thomas Torsney-Weir

Ben Swallow

...

2022/9/29

Complex model calibration through emulation, a worked example for a stochastic epidemic model

Epidemics

Michael Dunne

Hossein Mohammadi

Peter Challenor

Rita Borgo

Thibaud Porphyre

...

2022/6/1

RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses

Epidemics

Min Chen

Alfie Abdul-Rahman

Daniel Archambault

Jason Dykes

Panagiotis D Ritsos

...

2022/6/1

Correction to: ‘Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations’ (2022) by Dykes et al.

Philosophical Transactions of the Royal Society A

Jason Dykes

Alfie Abdul-Rahman

Daniel Archambault

Benjamin Bach

Rita Borgo

...

2022/10/31

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

Philosophical Transactions of the Royal Society A

Jason Dykes

Alfie Abdul-Rahman

Daniel Archambault

Benjamin Bach

Rita Borgo

...

2022/10/3

VisGuided: A community-driven approach for education in visualization

Alexandra Diehl

Elif E Firat

Thomas Torsney-Weir

Alfie Abdul-Rahman

Benjamin Bach

...

2021/5/7

Uncertainty quantification: a tutorial on a stochastic epidemic model

Michael Dunne

Hossein Mohammadi

Peter Challenor

Rita Borgo

Thibaud Porphyre

...

2021

An interactive tool for enhancing hospital capacity predictions using an epidemiological model

F Gibson

R Fabbro

Alma Rahat

Thomas Torsney-Weir

Daniel Archambault

...

2021/7/7

CorpSum: Towards an Enabling Tool-Design for Language Researchers to Explore, Analyze and Visualize Cor

Asil Çetin

Torsten Moeller

Thomas Torsney-Weir

2021/5/6

RAMPVIS: Towards a new methodology for developing visualisation capabilities for large-scale emergency responses

arXiv preprint arXiv:2012.04757

Min Chen

Alfie Abdul-Rahman

Daniel Archambault

Jason Dykes

Aidan Slingsby

...

2020/12/8

VISUALIZATION FOR UNDERSTANDING REGRESSION MODELS

Thomas Torsney-Weir

2020/9/8

See List of Professors in Thomas Torsney-Weir University(Swansea University)