Finbarr Murphy

About Finbarr Murphy

Finbarr Murphy, With an exceptional h-index of 27 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Limerick, specializes in the field of Quantitative Finance, Emerging Risk, Machine Learning.

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

Bridging the cyber protection gap: An investigation into the efficacy of the German cyber insurance market

A cyber risk prediction model using common vulnerabilities and exposures

Employing Supervised Algorithms for the Prediction of Nanomaterial’s Antioxidant Efficiency

How does the insurer's mobile application sales strategy perform?

Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence

Deep learning in insurance: Accuracy and model interpretability using TabNet

On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers

Cyber exclusions: An investigation into the cyber insurance coverage gap

Finbarr Murphy Information

University

Position

Executive Dean (Interim). Professor in Quantitative Finance

Citations(all)

2212

Citations(since 2020)

1952

Cited By

733

hIndex(all)

27

hIndex(since 2020)

25

i10Index(all)

54

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Finbarr Murphy Skills & Research Interests

Quantitative Finance

Emerging Risk

Machine Learning

Top articles of Finbarr Murphy

Title

Journal

Author(s)

Publication Date

Bridging the cyber protection gap: An investigation into the efficacy of the German cyber insurance market

Risk Management and Insurance Review

Frank Cremer

Barry Sheehan

Michael Fortmann

Martin Mullins

Finbarr Murphy

...

2024/4

A cyber risk prediction model using common vulnerabilities and exposures

Expert Systems with Applications

Arash Negahdari Kia

Finbarr Murphy

Barry Sheehan

Darren Shannon

2024/3/1

Employing Supervised Algorithms for the Prediction of Nanomaterial’s Antioxidant Efficiency

Mahsa Mirzaei

Irini Furxhi

Finbarr Murphy

Martin Mullins

2023/2/1

How does the insurer's mobile application sales strategy perform?

Journal of Risk and Insurance

An Chen

Yusha Chen

Finbarr Murphy

Wei Xu

Xian Xu

2023/6

Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence

Accident Analysis & Prevention

Leandro Masello

German Castignani

Barry Sheehan

Montserrat Guillen

Finbarr Murphy

2023/5/1

Deep learning in insurance: Accuracy and model interpretability using TabNet

Expert Systems with Applications

Kevin McDonnell

Finbarr Murphy

Barry Sheehan

Leandro Masello

German Castignani

2023/5/1

On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers

Accident Analysis & Prevention

Leandro Masello

Barry Sheehan

German Castignani

Darren Shannon

Finbarr Murphy

2023/4/1

Cyber exclusions: An investigation into the cyber insurance coverage gap

Frank Cremer

Barry Sheehan

Michel Fortmann

Martin Mullins

Finbarr Murphy

2022/4/25

From traditional to autonomous vehicles: A systematic review of data availability

Leandro Masello

Barry Sheehan

Finbarr Murphy

German Castignani

Kevin McDonnell

...

2022/4

On the road safety benefits of advanced driver assistance systems in different driving contexts

Transportation research interdisciplinary perspectives

Leandro Masello

German Castignani

Barry Sheehan

Finbarr Murphy

Kevin McDonnell

2022/9/1

ASINA project: Towards a methodological data-driven sustainable and safe-by-design approach for the development of nanomaterials

Frontiers in Bioengineering and Biotechnology

Irini Furxhi

Massimo Perucca

Magda Blosi

Jesús Lopez de Ipiña

Juliana Oliveira

...

2022/1/28

Correction to: Precaution as a Risk in Data Gaps and Sustainable Nanotechnology Decision Support Systems: a Case Study of Nano‑Enabled Textiles Production

NanoEthics

Irini Furxhi

Finbarr Murphy

Craig A Poland

Martin Cunneen

Martin Mullins

2022/8

The risk perception of nanotechnology: evidence from twitter

RSC advances

Finbarr Murphy

Ainaz Alavi

Martin Mullins

Irini Furxhi

Arash Kia

...

2022

Cyber risk and cybersecurity: a systematic review of data availability

Frank Cremer

Barry Sheehan

Michael Fortmann

Arash N Kia

Martin Mullins

...

2022/7

Using network structure and community detection to discover important website features when distinguishing between phishing and legitimate ones

arXiv preprint arXiv:2205.02889

Arash Negahdari Kia

Finbarr Murphy

Zahra Dehghani Mohammadabadi

Parisa Shamsi

2022/5/5

Regulatory and technical constraints: An overview of the technical possibilities and regulatory limitations of vehicle telematic data

Kevin McDonnell

Finbarr Murphy

Barry Sheehan

Leandro Masello

German Castignani

...

2021/5/18

Cars and distraction: How to address the limits of Driver Monitoring Systems and improve safety benefits using evidence from German young drivers

Technology in Society

Tim Jannusch

Darren Shannon

Michaele Völler

Finbarr Murphy

Martin Mullins

2021/8/1

A quantitative bow-tie cyber risk classification and assessment framework

Journal of Risk Research

Barry Sheehan

Finbarr Murphy

Arash N Kia

Ronan Kiely

2021/12/2

Connected and autonomous vehicle injury loss events: Potential risk and actuarial considerations for primary insurers

Risk Management and Insurance Review

Darren Shannon

Tim Jannusch

Florian David‐Spickermann

Martin Mullins

Martin Cunneen

...

2021/3

Data shepherding in nanotechnology. The exposure field campaign template

Nanomaterials

Irini Furxhi

Antti Joonas Koivisto

Finbarr Murphy

Sara Trabucco

Benedetta Del Secco

...

2021/7/13

See List of Professors in Finbarr Murphy University(University of Limerick)

Co-Authors

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