Philip O’Kane
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Advanced Malware Detection Techniques 15
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- Spam and Phishing Detection 6
- Software Engineering Research 4
- Digital and Cyber Forensics 2
- Co-authors
- Sakir Sezer (11 shared papers)Kieran McLaughlin (4 shared papers)Domhnall Carlin (10 shared papers)Mustafa Kaiiali (1 shared paper)Sakir Sezer (5 shared papers)Eul Gyu Im (2 shared papers)Niall McLaughlin (1 shared paper)David Hassan (2 shared papers)
- Journals
- IEEE Security & Privacy (2 papers)IEEE Access (2 papers)The International Journal of the History of Sport (2 papers)European Journal of Operational Research (2 papers)International Review for the Sociology of Sport (1 paper)
- Partner nations
- United KingdomSouth KoreaIraq
In The Last Decade
Philip O’Kane
23 papers receiving 698 citations
Peers
Comparison fields: 5 of 64
- Signal Processing 589
- Computer Networks and Communications 495
- Information Systems 375
- Software 62
- Artificial Intelligence 210
Countries citing papers authored by Philip O’Kane
This map shows the geographic impact of Philip O’Kane'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 Philip O’Kane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip O’Kane more than expected).
Fields of papers citing papers by Philip O’Kane
This network shows the impact of papers produced by Philip O’Kane. 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 Philip O’Kane. The network helps show where Philip O’Kane may publish in the future.
Co-authors
The 11 scholars most cited alongside Philip O’Kane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 158 | |
| 2 | 2019 | 128 | |
| 3 | 2018 | 78 | |
| 4 | 2013 | 67 | |
| 5 | 2021 | 53 | |
| 6 | 2019 | 30 | |
| 7 | 2017 | 28 | |
| 8 | 2016 | 28 | |
| 9 | 2019 | 25 | |
| 10 | 1981 | 24 | |
| 11 | 2017 | 24 | |
| 12 | 2013 | 15 | |
| 13 | 2014 | 15 | |
| 14 | 1982 | 12 | |
| 15 | 2011 | 12 | |
| 16 | 2021 | 9 | |
| 17 | 2011 | 8 | |
| 18 | 2012 | 7 | |
| 19 | 2006 | 6 | |
| 20 | 2019 | 5 |
About Philip O’Kane
Philip O’Kane is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Artificial Intelligence and Strategy and Management, having authored 23 papers that have together received 736 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (15 papers), Network Security and Intrusion Detection (12 papers), Spam and Phishing Detection (6 papers), Software Engineering Research (4 papers), Anomaly Detection Techniques and Applications (2 papers), Digital and Cyber Forensics (2 papers), Healthcare Operations and Scheduling Optimization (2 papers) and Consumer Market Behavior and Pricing (1 paper). The work is most often cited by research in Signal Processing (589 citations), Computer Networks and Communications (495 citations), Information Systems (375 citations), Software (62 citations) and Artificial Intelligence (210 citations). Philip O’Kane has collaborated with scholars based in United Kingdom, South Korea and Iraq. Frequent co-authors include Sakir Sezer, Kieran McLaughlin, Domhnall Carlin, Mustafa Kaiiali, Sakir Sezer, Eul Gyu Im, Niall McLaughlin, David Hassan, Kieran McLaughlin and Alexandra Cowan. Their work appears in journals such as IEEE Security & Privacy, IEEE Access, The International Journal of the History of Sport, European Journal of Operational Research and International Review for the Sociology of Sport.
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.