Martin Harrigan
- Information Systems top 2%
- Blockchain Technology Applications and Security 4
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting 3
- Privacy-Preserving Technologies in Data 2
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- Complex Network Analysis Techniques 4
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- Wikis in Education and Collaboration 4
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- Data Visualization and Analytics 4
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- Cancer-related gene regulation 3
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- Peer-to-Peer Network Technologies 2
- Co-authors
- Fergal ReidPádraig CunninghamGuangyu WuDaniel ArchambaultNeil HurleyLei ShiDerek O’CallaghanPatrick Healy
- Journals
- Journal of Graph Algorithms and Applications (1 paper)Network Science (1 paper)Blockchain Research and Applications (1 paper)
- Partner nations
- Ireland
In The Last Decade
Martin Harrigan
14 papers receiving 405 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Information Systems 328
- Artificial Intelligence 164
- Statistical and Nonlinear Physics 60
- Communication 33
- Management Information Systems 34
Countries citing papers authored by Martin Harrigan
This map shows the geographic impact of Martin Harrigan'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 Martin Harrigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Harrigan more than expected).
Fields of papers citing papers by Martin Harrigan
This network shows the impact of papers produced by Martin Harrigan. 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 Martin Harrigan. The network helps show where Martin Harrigan may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Martin Harrigan, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 7 | |
| 5 | 2018 | 8 | |
| 6 | 2013 | 9 | |
| 7 | 2012 | 1 | |
| 8 | 2012 | 14 | |
| 9 | 2012 | 18 | |
| 10 | An Analysis of Anonymity in the Bitcoin Systembreakdown → | 2011 | 349 |
| 11 | 2011 | 24 | |
| 12 | A Characterization of Wikipedia Content Based on Motifs in the Edit Graph | 2011 | 2 |
| 13 | 2010 | 1 | |
| 14 | 2008 | 1 | |
| 15 | 2007 | 2 | |
| 16 | 2002 | 0 | |
| 17 | 2002 | 1 |
About Martin Harrigan
Martin Harrigan is a scholar working on Communication, Statistical and Nonlinear Physics, Computer Graphics and Computer-Aided Design, Development and Information Systems, having authored 17 papers that have together received 441 indexed citations. Recurring topics across this work include Data Visualization and Analytics (4 papers), Wikis in Education and Collaboration (4 papers), Complex Network Analysis Techniques (4 papers), Blockchain Technology Applications and Security (4 papers), Cancer-related gene regulation (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Peer-to-Peer Network Technologies (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Information Systems (328 citations), Artificial Intelligence (164 citations), Statistical and Nonlinear Physics (60 citations), Communication (33 citations) and Management Information Systems (34 citations). Martin Harrigan has collaborated with scholars based in Ireland. Frequent co-authors include Fergal Reid, Pádraig Cunningham, Guangyu Wu, Daniel Archambault, Neil Hurley, Lei Shi, Derek O’Callaghan, Patrick Healy, Lorcan Coyle and Jack Mostow. Their work appears in journals such as Journal of Graph Algorithms and Applications, Network Science, Blockchain Research and Applications and Research Repository UCD (University College Dublin).
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.