Barry Sheehan

38 papers receiving 815 citations

Hit Papers

Cyber risk and cybersecurity: a systematic review of data availability 2022 · 144 citations
14420222026202320244080120

Peers

Barry Sheehan
Comparison fields: 5 of 119
  • Automotive Engineering 127
  • Safety, Risk, Reliability and Quality 94
  • Health Informatics 12
  • Information Systems 177
  • Statistics, Probability and Uncertainty 46
Replace Martin Mullins with:
Martin Mullins Ireland
Martijn Warnier Netherlands
Domokos Esztergár‐Kiss Hungary
Bilal Farooq Canada
Ulrik Franke Sweden
Alexandros Bousdekis Greece
Zhu Han China
Samet GÜRSEV Türkiye
Lars Hvam Denmark
C. B. Sivaparthipan China
Barry Sheehan 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 Barry Sheehan

Since Specialization
Citations

This map shows the geographic impact of Barry Sheehan'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 Barry Sheehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry Sheehan more than expected).

Fields of papers citing papers by Barry Sheehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barry Sheehan. 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 Barry Sheehan. The network helps show where Barry Sheehan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Barry Sheehan, 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 Barry Sheehan Line = papers co-authored together Barry Sheehan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20241
4 20242
5 20241
6 20248
7 20240
8 20243
9 202325
10 202312
11 202324
12 202358
13
Cyber risk and cybersecurity: a systematic review of data availability
Hit paper breakdown →
2022144
14 202116
15 202160
16 20218
17 20215
18 201930
19 201815
20 201626

About Barry Sheehan

Barry Sheehan is a scholar working on Health Informatics, Safety, Risk, Reliability and Quality, Finance, Automotive Engineering and Economics and Econometrics, having authored 42 papers that have together received 866 indexed citations. Recurring topics across this work include Information and Cyber Security (6 papers), Insurance and Financial Risk Management (6 papers), Traffic and Road Safety (6 papers), COVID-19 Pandemic Impacts (5 papers), Market Dynamics and Volatility (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Financial Markets and Investment Strategies (4 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Automotive Engineering (127 citations), Safety, Risk, Reliability and Quality (94 citations), Health Informatics (12 citations), Information Systems (177 citations) and Statistics, Probability and Uncertainty (46 citations). Barry Sheehan has collaborated with scholars based in Ireland, Luxembourg and Germany. Frequent co-authors include Finbarr Murphy, Martin Mullins, Cian Ryan, German Castignani, Darren Shannon, Arash Negahdari Kia, Kevin McDonnell, H.J.P. Marvin, Hans Bouwmeester and Irini Furxhi. Their work appears in journals such as Accident Analysis & Prevention, Nanotoxicology, The Geneva Papers on Risk and Insurance Issues and Practice, Expert Systems with Applications and Transportation Research Interdisciplinary Perspectives.

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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