Ryan Heartfield
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
-
- Spam and Phishing Detection 6
- User Authentication and Security Systems 6
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- Advanced Malware Detection Techniques 12
- Co-authors
- George Loukas (17 shared papers)Diane Gan (4 shared papers)Georgia Sakellari (4 shared papers)Tuan Vuong (2 shared papers)Anatolij Bezemskij (3 shared papers)Emmanouil Panaousis (2 shared papers)Avgoustinos Filippoupolitis (3 shared papers)Etienne B. Roesch (2 shared papers)
- Journals
- Computers & Security (3 papers)IEEE Access (2 papers)ACM Computing Surveys (1 paper)Applied Sciences (1 paper)Simulation Modelling Practice and Theory (1 paper)
- Partner nations
- United KingdomGreeceNetherlands
In The Last Decade
Ryan Heartfield
19 papers receiving 699 citations
Peers
Comparison fields: 5 of 64
- Signal Processing 297
- Computer Networks and Communications 366
- Information Systems 357
- Artificial Intelligence 203
- Human-Computer Interaction 26
Countries citing papers authored by Ryan Heartfield
This map shows the geographic impact of Ryan Heartfield'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 Ryan Heartfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Heartfield more than expected).
Fields of papers citing papers by Ryan Heartfield
This network shows the impact of papers produced by Ryan Heartfield. 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 Ryan Heartfield. The network helps show where Ryan Heartfield may publish in the future.
Co-authors
The 24 scholars most cited alongside Ryan Heartfield, 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 | 2017 | 183 | |
| 2 | 2015 | 114 | |
| 3 | 2018 | 98 | |
| 4 | 2020 | 83 | |
| 5 | 2016 | 58 | |
| 6 | 2018 | 54 | |
| 7 | 2022 | 37 | |
| 8 | 2016 | 28 | |
| 9 | 2017 | 10 | |
| 10 | Social engineering in the internet of everything | 2016 | 9 |
| 11 | 2019 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2017 | 7 | |
| 15 | Detecting framerate-oriented cyber attacks on user experience in virtual reality | 2021 | 7 |
| 16 | 2016 | 6 | |
| 17 | 2020 | 4 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2019 | 0 |
About Ryan Heartfield
Ryan Heartfield is a scholar working on Information Systems, Signal Processing, Computer Networks and Communications, Artificial Intelligence and Sociology and Political Science, having authored 20 papers that have together received 724 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (12 papers), Spam and Phishing Detection (6 papers), User Authentication and Security Systems (6 papers), Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (4 papers), IoT and Edge/Fog Computing (2 papers), Virtual Reality Applications and Impacts (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Signal Processing (297 citations), Computer Networks and Communications (366 citations), Information Systems (357 citations), Artificial Intelligence (203 citations) and Human-Computer Interaction (26 citations). Ryan Heartfield has collaborated with scholars based in United Kingdom, Greece and Netherlands. Frequent co-authors include George Loukas, Diane Gan, Georgia Sakellari, Tuan Vuong, Anatolij Bezemskij, Emmanouil Panaousis, Avgoustinos Filippoupolitis, Etienne B. Roesch, Johnny R. J. Fontaine and Sanja Budimir. Their work appears in journals such as Computers & Security, IEEE Access, ACM Computing Surveys, Applied Sciences and Simulation Modelling Practice and Theory.
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.