Finbarr Murphy

3.0k total citations · 1 hit paper
88 papers, 1.9k citations indexed

About

Finbarr Murphy is a scholar working on Safety, Risk, Reliability and Quality, Economics and Econometrics and Automotive Engineering. According to data from OpenAlex, Finbarr Murphy has authored 88 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Safety, Risk, Reliability and Quality, 16 papers in Economics and Econometrics and 15 papers in Automotive Engineering. Recurrent topics in Finbarr Murphy's work include Traffic and Road Safety (17 papers), Autonomous Vehicle Technology and Safety (10 papers) and Nanoparticles: synthesis and applications (9 papers). Finbarr Murphy is often cited by papers focused on Traffic and Road Safety (17 papers), Autonomous Vehicle Technology and Safety (10 papers) and Nanoparticles: synthesis and applications (9 papers). Finbarr Murphy collaborates with scholars based in Ireland, Germany and Italy. Finbarr Murphy's co-authors include Martin Mullins, Barry Sheehan, Irini Furxhi, Cian Ryan, Martin Cunneen, Craig A. Poland, Darren Shannon, German Castignani, Arash Negahdari Kia and Athanasios Arvanitis and has published in prestigious journals such as Nature Nanotechnology, International Journal of Molecular Sciences and Computers in Human Behavior.

In The Last Decade

Finbarr Murphy

85 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cyber risk and cybersecurity: a systematic review of data availability

2022 144 citations Barry Sheehan, Arash Negahdari Kia et al. The Geneva Papers on Risk and Insurance Issues and Practice profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Finbarr Murphy Ireland	25	406	326	225	212	198	88	1.9k
Martin Mullins Ireland	22	310 0.8×	268 0.8×	199 0.9×	155 0.7×	181 0.9×	72	1.5k
Jingyuan Wang China	30	340 0.8×	169 0.5×	204 0.9×	91 0.4×	513 2.6×	177	3.3k
Harrison Kim United States	34	93 0.2×	206 0.6×	76 0.3×	187 0.9×	298 1.5×	180	3.8k
Hyunsoo Lee South Korea	31	176 0.4×	74 0.2×	114 0.5×	136 0.6×	195 1.0×	284	3.5k
Luca Fumagalli Italy	25	178 0.4×	190 0.6×	242 1.1×	402 1.9×	121 0.6×	112	3.7k
Seungjae Lee South Korea	31	244 0.6×	307 0.9×	43 0.2×	119 0.6×	164 0.8×	317	3.8k
Zahed Siddique United States	16	136 0.3×	77 0.2×	92 0.4×	97 0.5×	377 1.9×	133	2.8k
Qichao Zhang China	25	131 0.3×	359 1.1×	128 0.6×	78 0.4×	746 3.8×	84	2.5k
Christopher L. Magee United States	34	518 1.3×	171 0.5×	68 0.3×	147 0.7×	107 0.5×	97	2.7k
Xiang Li China	37	80 0.2×	512 1.6×	161 0.7×	122 0.6×	208 1.1×	200	4.9k

Countries citing papers authored by Finbarr Murphy

Since Specialization

Citations

This map shows the geographic impact of Finbarr Murphy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Finbarr Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Finbarr Murphy more than expected).

Fields of papers citing papers by Finbarr Murphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Finbarr Murphy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Finbarr Murphy. The network helps show where Finbarr Murphy may publish in the future.

Co-authorship network of co-authors of Finbarr Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Finbarr Murphy. A scholar is included among the top collaborators of Finbarr Murphy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Finbarr Murphy. Finbarr Murphy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

McDonnell, Kevin, et al.. (2024). Are electric vehicles riskier? A comparative study of driving behaviour and insurance claims for internal combustion engine, hybrid and electric vehicles. Accident Analysis & Prevention. 207. 107761–107761. 3 indexed citations

Sheehan, Barry, et al.. (2024). Enhancing cyber insurance strategies: exploring reinsurance and alternative risk transfer approaches. 10(1). 1 indexed citations

Castignani, German, et al.. (2023). Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence. Accident Analysis & Prevention. 184. 106997–106997. 25 indexed citations

Chen, An, et al.. (2023). How does the insurer's mobile application sales strategy perform?. Journal of Risk & Insurance. 90(2). 487–519. 2 indexed citations

Furxhi, Irini, et al.. (2023). Employing Supervised Algorithms for the Prediction of Nanomaterial’s Antioxidant Efficiency. International Journal of Molecular Sciences. 24(3). 2792–2792. 4 indexed citations

Sheehan, Barry, et al.. (2023). On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers. Accident Analysis & Prevention. 183. 106969–106969. 24 indexed citations

Furxhi, Irini, et al.. (2022). ASINA Project: Towards a Methodological Data-Driven Sustainable and Safe-by-Design Approach for the Development of Nanomaterials. Frontiers in Bioengineering and Biotechnology. 9. 805096–805096. 22 indexed citations

Murphy, Finbarr, et al.. (2022). The risk perception of nanotechnology: evidence from twitter. RSC Advances. 12(18). 11021–11031. 4 indexed citations

Sheehan, Barry, et al.. (2022). Cyber risk and cybersecurity: a systematic review of data availability. The Geneva Papers on Risk and Insurance Issues and Practice. 47(3). 698–736. 144 indexed citations breakdown →

10.

Xü, Wei, et al.. (2021). Dynamic communication and perception of cyber risk: Evidence from big data in media. Computers in Human Behavior. 122. 106851–106851. 10 indexed citations

11.

Sheehan, Barry, et al.. (2021). From Traditional to Autonomous Vehicles: A Systematic Review of Data Availability. Transportation Research Record Journal of the Transportation Research Board. 2676(4). 161–193. 16 indexed citations

12.

Shannon, Darren, Finbarr Murphy, Martin Mullins, & Luis Ignacio Rizzi. (2020). Exploring the role of delta-V in influencing occupant injury severities – A mediation analysis approach to motor vehicle collisions. Accident Analysis & Prevention. 142. 105577–105577. 14 indexed citations

13.

Murphy, Finbarr, et al.. (2020). A new version of the Behaviour of Young Novice Drivers Scale (BYNDS). Insights from a randomised sample of 700 German young novice drivers.. Accident Analysis & Prevention. 145. 105622–105622. 8 indexed citations

14.

Furxhi, Irini, Finbarr Murphy, Martin Mullins, & Craig A. Poland. (2019). Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index. Toxicology Letters. 312. 157–166. 62 indexed citations

15.

Sheehan, Barry, Finbarr Murphy, Martin Mullins, et al.. (2018). Hazard Screening Methods for Nanomaterials: A Comparative Study. International Journal of Molecular Sciences. 19(3). 649–649. 15 indexed citations

16.

Das, Rasel, Bey Fen Leo, & Finbarr Murphy. (2018). The Toxic Truth About Carbon Nanotubes in Water Purification: a Perspective View. Nanoscale Research Letters. 13(1). 183–183. 77 indexed citations

17.

Murphy, Finbarr, Barry Sheehan, Martin Mullins, et al.. (2016). A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks. Nanoscale Research Letters. 11(1). 503–503. 26 indexed citations

18.

Mullins, Martin, et al.. (2013). The insurability of nanomaterial production risk. Nature Nanotechnology. 8(4). 222–224. 24 indexed citations

19.

Murphy, Finbarr, Martin Mullins, & John Garvey. (2008). Do credit derivatives dampen political risk: the case of Brazil post 1998. Hispana. 1 indexed citations

20.

Murphy, Finbarr. (1988). El caso CROTTY y el referendúm de Irlanda. 15(2). 365–382. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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