Finbarr Murphy

88 papers receiving 2.1k citations

Finbarr Murphy's Hit Papers

Cyber risk and cybersecurity: a systematic review of data availability 2022 · 179 citations
1790+1+2Years since publication50100150

Peers

Finbarr Murphy
Comparison fields: 5 of 159
  • Automotive Engineering 364
  • Safety, Risk, Reliability and Quality 224
  • Health Informatics 28
  • Safety Research 125
  • Chemical Health and Safety 9
Replace Martin Mullins with:
Martin Mullins Ireland
Barry Sheehan Ireland
Mohsen Asadi Canada
Jingyuan Wang China
Thorsten Staake Switzerland
Charles V. Trappey Taiwan
Daniyal Alghazzawi Saudi Arabia
Changyong Liang China
Chih‐Hung Wu Taiwan
Fernanda Strozzi Italy
Finbarr Murphy relative to Martin Mullins Ireland Martin Mullins's profile →
Citations per field
00.5×1.5×
Martin Mullins · 1×
Citations per year

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-authors

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.

Border = papers with Finbarr Murphy Line = papers co-authored together Finbarr Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cyber risk and cybersecurity: a systematic review of data availability
Hit paper breakdown →
2022179
2 2018140
3 201898
4 202091
5 201981
6 202372
7 201968
8 201767
9 202267
10 202161
11 201960
12 202060
13 201660
14 201955
15 202054
16 201748
17 202139
18 202039
19 201935
20 202134

About Finbarr Murphy

Finbarr Murphy is a scholar working on Safety, Risk, Reliability and Quality, Economics and Econometrics, Automotive Engineering, Finance and Materials Chemistry, having authored 93 papers that have together received 2.2k 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 (10 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 Credit Risk and Financial Regulations (6 papers). The work is most often cited by research in Automotive Engineering (364 citations), Safety, Risk, Reliability and Quality (224 citations), Health Informatics (28 citations), Safety Research (125 citations) and Chemical Health and Safety (9 citations). Finbarr Murphy has collaborated with scholars based in Ireland, Germany and United Kingdom. Frequent co-authors include Martin Mullins, Barry Sheehan, Irini Furxhi, Cian Ryan, Martin Cunneen, Craig A. Poland, German Castignani, Darren Shannon, Arash Negahdari Kia and Rasel Das. Their work appears in journals such as Accident Analysis & Prevention, Nanomaterials, Technology in Society, Environment Systems & Decisions and NanoEthics.

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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