Danielle Soban

Danielle Soban

Queen's University Belfast

H-index: 18

Europe-United Kingdom

About Danielle Soban

Danielle Soban, With an exceptional h-index of 18 and a recent h-index of 10 (since 2020), a distinguished researcher at Queen's University Belfast, specializes in the field of aerospace engineering, design, value driven design, technology infusion.

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

Development of an Automated Downtime System for Small and Medium sized Enterprises

Visual Analytics Enabling Optimisation of Downtime

Strategies to Leverage Data in Manufacturing

Assessing the Self-Healing Technology Using Novel Technology Impact Forecasting

A probabilistic fleet analysis for energy consumption, life cycle cost and greenhouse gas emissions modelling of bus technologies

What can a Fleet Analysis Approach Add to the Life Cycle Modelling of Bus Technologies?

Assessing the novel aircraft lightning strike protection technology using technology impact forecasting

Danielle Soban Information

University

Position

Lecturer at

Citations(all)

968

Citations(since 2020)

370

Cited By

769

hIndex(all)

18

hIndex(since 2020)

10

i10Index(all)

24

i10Index(since 2020)

10

Email

University Profile Page

Queen's University Belfast

Google Scholar

View Google Scholar Profile

Danielle Soban Skills & Research Interests

aerospace engineering

design

value driven design

technology infusion

Top articles of Danielle Soban

Title

Journal

Author(s)

Publication Date

Development of an Automated Downtime System for Small and Medium sized Enterprises

Engineering Proceedings

Alastair Long

Andrew Johnston

Danielle Soban

2024/2/27

Visual Analytics Enabling Optimisation of Downtime

Engineering Proceedings

Andrew Johnston

Danielle Soban

Alastair Long

2024/2/27

Strategies to Leverage Data in Manufacturing

Proceedings of the 38th International Manufacturing Conference (IMC38)

Andrew Johnston

Syed Ehtea Samul Hossain

Danielle Soban

Alastair Long

2022/8/30

Assessing the Self-Healing Technology Using Novel Technology Impact Forecasting

Journal of Aircraft

Ying Huang

Danielle Soban

Dan Sun

2021/7

A probabilistic fleet analysis for energy consumption, life cycle cost and greenhouse gas emissions modelling of bus technologies

Applied Energy

Andrew Harris

Danielle Soban

Beatrice M Smyth

Robert Best

2020/3/1

What can a Fleet Analysis Approach Add to the Life Cycle Modelling of Bus Technologies?

Andrew Harris

Danielle Soban

Beatrice M Smyth

Robert Best

2020

Assessing the novel aircraft lightning strike protection technology using technology impact forecasting

Journal of Aircraft

Ying Huang

Dan Sun

Danielle S Soban

2020/9

See List of Professors in Danielle Soban University(Queen's University Belfast)