Fergus Toolan
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- User Authentication and Security Systems
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Data Management and Algorithms
Papers in
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- Data Management and Algorithms 5
- Time Series Analysis and Forecasting 1
- Advanced Malware Detection Techniques 1
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- Advanced Text Analysis Techniques 1
- Natural Language Processing Techniques 1
- Bayesian Modeling and Causal Inference 1
- Co-authors
- Joe Carthy (3 shared papers)George R. S. Weir (1 shared paper)David Lillis (4 shared papers)Rem Collier (4 shared papers)John Dunnion (5 shared papers)David Léonard (1 shared paper)Nicola Stokes (1 shared paper)Ling Peng (1 shared paper)
- Journals
- Artificial Intelligence Review (2 papers)Information Security Technical Report (1 paper)
- Partner nations
- IrelandUnited Kingdom
In The Last Decade
Fergus Toolan
9 papers receiving 190 citations
Peers
Comparison fields: 5 of 28
- Information Systems 164
- Signal Processing 63
- Artificial Intelligence 124
- Computer Networks and Communications 58
- Communication 9
Countries citing papers authored by Fergus Toolan
This map shows the geographic impact of Fergus Toolan'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 Fergus Toolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fergus Toolan more than expected).
Fields of papers citing papers by Fergus Toolan
This network shows the impact of papers produced by Fergus Toolan. 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 Fergus Toolan. The network helps show where Fergus Toolan may publish in the future.
Co-authors
The 8 scholars most cited alongside Fergus Toolan, 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 | 2010 | 87 | |
| 2 | 2009 | 45 | |
| 3 | 2011 | 30 | |
| 4 | 2010 | 16 | |
| 5 | 2005 | 8 | |
| 6 | 2008 | 7 | |
| 7 | News Story Gisting at University College Dublin | 2004 | 5 |
| 8 | 2007 | 4 | |
| 9 | 2006 | 2 |
About Fergus Toolan
Fergus Toolan is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Computer Networks and Communications and Sociology and Political Science, having authored 9 papers that have together received 204 indexed citations. Recurring topics across this work include Data Management and Algorithms (5 papers), Spam and Phishing Detection (3 papers), Advanced Database Systems and Queries (2 papers), Advanced Text Analysis Techniques (1 paper), Time Series Analysis and Forecasting (1 paper), Natural Language Processing Techniques (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Information Systems (164 citations), Signal Processing (63 citations), Artificial Intelligence (124 citations), Computer Networks and Communications (58 citations) and Communication (9 citations). Fergus Toolan has collaborated with scholars based in Ireland and United Kingdom. Frequent co-authors include Joe Carthy, George R. S. Weir, David Lillis, Rem Collier, John Dunnion, David Léonard, Nicola Stokes and Ling Peng. Their work appears in journals such as Artificial Intelligence Review and Information Security Technical Report.
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.