Philip O’Kane

960 total citations
22 papers, 604 citations indexed

About

Philip O’Kane is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Philip O’Kane has authored 22 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 13 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Philip O’Kane's work include Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (12 papers) and Spam and Phishing Detection (6 papers). Philip O’Kane is often cited by papers focused on Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (12 papers) and Spam and Phishing Detection (6 papers). Philip O’Kane collaborates with scholars based in United Kingdom, South Korea and Iraq. Philip O’Kane's 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 and has published in prestigious journals such as European Journal of Operational Research, IEEE Access and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Philip O’Kane

22 papers receiving 569 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip O’Kane United Kingdom 12 482 404 312 175 48 22 604
Nolen Scaife United States 10 440 0.9× 290 0.7× 394 1.3× 165 0.9× 41 0.9× 17 561
Brendan Saltaformaggio United States 14 373 0.8× 272 0.7× 317 1.0× 241 1.4× 70 1.5× 38 548
Fabio Pierazzi United Kingdom 13 302 0.6× 366 0.9× 216 0.7× 248 1.4× 55 1.1× 34 519
Juanru Li China 16 415 0.9× 167 0.4× 397 1.3× 297 1.7× 139 2.9× 48 672
Van-Hau Pham Vietnam 11 160 0.3× 261 0.6× 203 0.7× 170 1.0× 18 0.4× 79 439
Ali Zand United States 10 220 0.5× 181 0.4× 282 0.9× 160 0.9× 48 1.0× 16 469
Chin‐Wei Tien Taiwan 9 161 0.3× 173 0.4× 169 0.5× 119 0.7× 17 0.4× 20 322
Ying Fu China 11 180 0.4× 126 0.3× 250 0.8× 119 0.7× 115 2.4× 17 411
Sooel Son South Korea 15 280 0.6× 209 0.5× 427 1.4× 301 1.7× 112 2.3× 29 654
Stephen Schwab United States 11 152 0.3× 628 1.6× 268 0.9× 188 1.1× 10 0.2× 41 705

Countries citing papers authored by Philip O’Kane

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Philip O’Kane

This figure shows the co-authorship network connecting the top 25 collaborators of Philip O’Kane. A scholar is included among the top collaborators of Philip O’Kane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip O’Kane. Philip O’Kane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
O’Kane, Philip, et al.. (2021). LSTM RNN: detecting exploit kits using redirection chain sequences. Cybersecurity. 4(1). 8 indexed citations
2.
McLaughlin, Niall, et al.. (2021). Towards Explainable CNNs for Android Malware Detection. Procedia Computer Science. 184. 959–965. 45 indexed citations
3.
Carlin, Domhnall, et al.. (2020). REdiREKT: Extracting Malicious Redirections from Exploit Kit Traffic. Research Portal (Queen's University Belfast). 1–9. 1 indexed citations
4.
Carlin, Domhnall, et al.. (2019). You Could Be Mine(d): The Rise of Cryptojacking. IEEE Security & Privacy. 18(2). 16–22. 21 indexed citations
5.
Carlin, Domhnall, Philip O’Kane, & Sakir Sezer. (2019). A cost analysis of machine learning using dynamic runtime opcodes for malware detection. Computers & Security. 85. 138–155. 21 indexed citations
6.
Carlin, Domhnall, et al.. (2019). MANiC: Multi-step Assessment for Crypto-miners. Research Portal (Queen's University Belfast). 1–8. 5 indexed citations
7.
Kaiiali, Mustafa, et al.. (2019). A Multi-Classifier Network-Based Crypto Ransomware Detection System: A Case Study of Locky Ransomware. IEEE Access. 7. 47053–47067. 115 indexed citations
8.
O’Kane, Philip, Sakir Sezer, & Domhnall Carlin. (2018). Evolution of ransomware. IET Networks. 7(5). 321–327. 67 indexed citations
9.
Carlin, Domhnall, Philip O’Kane, & Sakir Sezer. (2018). Dynamic Analysis of Ran-somware using Opcodes and Opcode Categories. Research Portal (Queen's University Belfast). 4(1). 84–97. 1 indexed citations
10.
O’Kane, Philip, Sakir Sezer, & Kieran McLaughlin. (2016). Detecting obfuscated malware using reduced opcode set and optimised runtime trace. Research Portal (Queen's University Belfast). 5(1). 25 indexed citations
11.
O’Kane, Philip, Sakir Sezer, & Kieran McLaughlin. (2014). N-gram density based malware detection. Research Portal (Queen's University Belfast). 1–6. 12 indexed citations
12.
O’Kane, Philip, Sakir Sezer, Kieran McLaughlin, & Eul Gyu Im. (2013). Malware detection: program run length against detection rate. IET Software. 8(1). 42–51. 12 indexed citations
13.
O’Kane, Philip, Sakir Sezer, Kieran McLaughlin, & Eul Gyu Im. (2013). SVM Training Phase Reduction Using Dataset Feature Filtering for Malware Detection. IEEE Transactions on Information Forensics and Security. 8(3). 500–509. 56 indexed citations
14.
Hassan, David & Philip O’Kane. (2012). Terrorism and the abnormality of sport in Northern Ireland. International Review for the Sociology of Sport. 47(3). 397–413. 7 indexed citations
15.
O’Kane, Philip. (2011). A History of the ‘Triple Crown’ of Motor Racing: The Indianapolis 500, the Le Mans 24 Hours and the Monaco Grand Prix. The International Journal of the History of Sport. 28(2). 281–299. 4 indexed citations
16.
O’Kane, Philip, Sakir Sezer, & Kieran McLaughlin. (2011). Obfuscation: The Hidden Malware. IEEE Security & Privacy. 9(5). 41–47. 133 indexed citations
17.
Hassan, David & Philip O’Kane. (2011). The Great Race Across the Sahara: A History of the Paris to Dakar Rally and Its Impact on the Development of Corporate Social Responsibility Within Motor Sport. The International Journal of the History of Sport. 28(2). 268–280. 11 indexed citations
18.
O’Kane, Philip, et al.. (2006). Cluster-based Six Sigma Deployment in Small and Medium Sized Enterprises. 2. 788–792. 6 indexed citations
19.
Boldy, Duncan & Philip O’Kane. (1982). Health operational research — A selective overview. European Journal of Operational Research. 10(1). 1–9. 10 indexed citations
20.
O’Kane, Philip. (1981). A simulation model of a diagnostic radiology department. European Journal of Operational Research. 6(1). 38–45. 19 indexed citations

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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