John Quigley

John Quigley

University of Strathclyde

H-index: 24

Europe-United Kingdom

About John Quigley

John Quigley, With an exceptional h-index of 24 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Strathclyde, specializes in the field of risk, elicitation, modelling.

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

Sustainability tweeting triumphs during the COP events: analyzing environmental, social, and governance (ESG) communication on Twitter

Using worker position data for human-driven decision support in labour-intensive manufacturing

The role of hydrogen in the decarbonisation of the steel industry: upstream and downstream in the UK and Ontario

Agent based simulation of workers' behaviours around hazard areas in manufacturing sites

Maritime search and rescue in Nunavut, Canada: strengthening the system from the bottom up

Predictive CAD System Suggestion for Efficient Engineering Design Reuse

Data-driven discovery of manufacturing processes and performance from worker localisation

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

John Quigley Information

University

Position

Department of Management Science

Citations(all)

2804

Citations(since 2020)

1483

Cited By

1944

hIndex(all)

24

hIndex(since 2020)

18

i10Index(all)

54

i10Index(since 2020)

31

Email

University Profile Page

University of Strathclyde

Google Scholar

View Google Scholar Profile

John Quigley Skills & Research Interests

risk

elicitation

modelling

Top articles of John Quigley

Title

Journal

Author(s)

Publication Date

Sustainability tweeting triumphs during the COP events: analyzing environmental, social, and governance (ESG) communication on Twitter

Journal of Asia Business Studies

Amr ElAlfy

John Quigley

Leilei Tang

Youssef Alhariri

Olaf Weber

2024/3

Using worker position data for human-driven decision support in labour-intensive manufacturing

Sensors

Ayse Aslan

Hanane El-Raoui

Jack Hanson

Gokula Vasantha

John Quigley

...

2023/5/20

The role of hydrogen in the decarbonisation of the steel industry: upstream and downstream in the UK and Ontario

International Green Energy Conference

Elise Steward

John Quigley

Jennifer J Roberts

Andrew Sherlock

2023/7/10

Agent based simulation of workers' behaviours around hazard areas in manufacturing sites

Hanane El-Raoui

John Quigley

Ayse Aslan

Gokula Vasantha

Jack Hanson

...

2023/4/5

Maritime search and rescue in Nunavut, Canada: strengthening the system from the bottom up

Peter Kikkert

Ian Belton

Calvin Pedersen

P Whitney Lackenbauer

Ron Pelot

...

2023/6/18

Predictive CAD System Suggestion for Efficient Engineering Design Reuse

Gokula Vasantha

Jonathan Corney

John Quigley

Andrew Sherlock

2023/3/29

Data-driven discovery of manufacturing processes and performance from worker localisation

Ayse Aslan

Hanane El-Raoui

Jack Hanson

Gokula Vasantha

John Quigley

...

2023/6/18

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

Hanane El Raoui

John Quigley

Ayse Aslan

Gokula Vasantha

Jack Hanson

...

2023/12/10

ENHANCING COMMUNITY-BASED SEARCH & RESCUE IN THE CANADIAN ARCTIC THROUGH RISK ANALYSIS

PETER KIKKERT

JOHN QUIGLEY

IAN BELTON

ROBERT BROWN

KERRI-ANN ENNIS

...

2023

A knowledge graph approach for state-of-the-art implementation of industrial factory movement tracking system

Gokula Vasantha

Ayse Aslan

Jack Hanson

Hanane El-Raoui

Jonathan Corney

...

2023/6/18

Hierarchical ensemble deep learning for data-driven lead time prediction

The International Journal of Advanced Manufacturing Technology

Ayse Aslan

Gokula Vasantha

Hanane El-Raoui

John Quigley

Jack Hanson

...

2023/10

Addressing the challenges to search and rescue operations caused by ice conditions in Nunavut, Canada

Peter Kikkert

John Quigley

Ian Belton

Robert Brown

Kerri-Ann Ennis

...

2023/6/12

Is eliciting dependency worth the effort? A study for the multivariate Poisson-Gamma probability model

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Rafael Schwarzenegger

John Quigley

Lesley Walls

2023/10

Design as a marked point process

Journal of Mechanical Design

John Quigley

Gokula Vasantha

Jonathan Corney

David Purves

Andrew Sherlock

2022/2/1

Carbon capture, utilisation and storage: Incentives, effects and policy

International Journal of Greenhouse Gas Control

Giorgio Cabrera

Alex Dickson

Alain-Désiré Nimubona

John Quigley

2022/10/1

Assessment of predictive probability models for effective mechanical design feature reuse

AI EDAM

Gokula Vasantha

David Purves

John Quigley

Jonathan Corney

Andrew Sherlock

...

2022

Lead time prediction with the Bosch production line dataset

Ayse Aslan

Gokula Vasantha

Hanane El-Raoui

John Quigley

Jack Hanson

...

2022/9/4

Saddlepoint approximation for the generalized inverse Gaussian Lévy process

Journal of Computational and Applied Mathematics

Mimi Zhang

Matthew Revie

John Quigley

2022/9/1

Consequences of representativeness bias on SHM-based decision-making

Structure and Infrastructure Engineering

Andrea Verzobio

Denise Bolognani

John Quigley

Daniele Zonta

2022/6/3

Quantifying the benefit of structural health monitoring: can the value of information be negative?

Structure and Infrastructure Engineering

Andrea Verzobio

Denise Bolognani

John Quigley

Daniele Zonta

2022/4/3

See List of Professors in John Quigley University(University of Strathclyde)

Co-Authors

H-index: 59
Fran Ackermann

Fran Ackermann

Curtin University

H-index: 41
Luis C. Dias

Luis C. Dias

Universidade de Coimbra

H-index: 38
Alec Morton

Alec Morton

University of Strathclyde

H-index: 28
Dr Konstantinos Kirytopoulos

Dr Konstantinos Kirytopoulos

National Technical University

H-index: 28
Daniele Zonta

Daniele Zonta

Università degli Studi di Trento

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