Finbarr Murphy
Impact in
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety
- Transportation and Mobility Innovations
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- Traffic and Road Safety
Papers in
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- Traffic and Road Safety 17
- Co-authors
- Martin MullinsBarry SheehanIrini FurxhiCian RyanMartin CunneenCraig A. PolandDarren ShannonGerman Castignani
In The Last Decade
Finbarr Murphy
85 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Automotive Engineering 326
- Safety, Risk, Reliability and Quality 212
- Health Informatics 24
- Chemical Health and Safety 9
- Safety Research 108
Countries citing papers authored by Finbarr Murphy
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
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
The 25 scholars most cited alongside Finbarr Murphy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 4 | |
| 9 | Cyber risk and cybersecurity: a systematic review of data availability Hit paper breakdown → | 2022 | 144 |
| 10 | 2021 | 10 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 62 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 77 | |
| 17 | 2016 | 26 | |
| 18 | 2013 | 24 | |
| 19 | Do credit derivatives dampen political risk: the case of Brazil post 1998 | 2008 | 1 |
| 20 | El caso CROTTY y el referendúm de Irlanda | 1988 | 1 |
About Finbarr Murphy
Finbarr Murphy is a scholar working on Safety, Risk, Reliability and Quality, Chemical Health and Safety, Health Informatics, Finance and Automotive Engineering, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Traffic and Road Safety (17 papers), Autonomous Vehicle Technology and Safety (10 papers), Nanoparticles: synthesis and applications (9 papers), Human-Automation Interaction and Safety (8 papers), Insurance and Financial Risk Management (7 papers), Computational Drug Discovery Methods (7 papers), Ethics and Social Impacts of AI (6 papers) and Transportation and Mobility Innovations (5 papers). The work is most often cited by research in Automotive Engineering (326 citations), Safety, Risk, Reliability and Quality (212 citations), Health Informatics (24 citations), Chemical Health and Safety (9 citations) and Safety Research (108 citations). Finbarr Murphy has collaborated with scholars based in Ireland, Germany and Italy. Frequent 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. Their work appears in journals such as Accident Analysis & Prevention, Nanomaterials, Technology in Society, Environment Systems & Decisions and Nanotoxicology.
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.