Ryan Heartfield

1.1k total citations
20 papers, 701 citations indexed

About

Ryan Heartfield is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Ryan Heartfield has authored 20 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Signal Processing and 8 papers in Computer Networks and Communications. Recurrent topics in Ryan Heartfield's work include Advanced Malware Detection Techniques (12 papers), Spam and Phishing Detection (6 papers) and User Authentication and Security Systems (6 papers). Ryan Heartfield is often cited by papers focused on Advanced Malware Detection Techniques (12 papers), Spam and Phishing Detection (6 papers) and User Authentication and Security Systems (6 papers). Ryan Heartfield collaborates with scholars based in United Kingdom, Greece and Belgium. Ryan Heartfield's co-authors include George Loukas, Diane Gan, Georgia Sakellari, Tuan Vuong, Anatolij Bezemskij, Emmanouil Panaousis, Avgoustinos Filippoupolitis, Sanja Budimir, Etienne B. Roesch and Johnny R. J. Fontaine and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Internet of Things Journal.

In The Last Decade

Ryan Heartfield

19 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Heartfield United Kingdom 10 357 350 293 199 119 20 701
Pelin Angın Türkiye 16 373 1.0× 298 0.9× 124 0.4× 232 1.2× 87 0.7× 59 718
Sergey Bezzateev Russia 12 298 0.8× 353 1.0× 137 0.5× 238 1.2× 149 1.3× 83 729
Mauro Migliardi Italy 19 427 1.2× 294 0.8× 287 1.0× 157 0.8× 111 0.9× 76 797
Justin Cappos United States 18 426 1.2× 502 1.4× 233 0.8× 254 1.3× 110 0.9× 71 926
Murtuza Jadliwala United States 18 328 0.9× 270 0.8× 142 0.5× 298 1.5× 244 2.1× 66 876
Yves Roudier France 13 219 0.6× 383 1.1× 185 0.6× 135 0.7× 118 1.0× 41 604
José M. de Fuentes Spain 17 269 0.8× 339 1.0× 228 0.8× 168 0.8× 91 0.8× 57 646
Kutub Thakur United States 15 303 0.8× 246 0.7× 241 0.8× 218 1.1× 64 0.5× 50 725
Roman Schlegel Switzerland 11 236 0.7× 278 0.8× 298 1.0× 334 1.7× 103 0.9× 19 648
Virginia N. L. Franqueira United Kingdom 16 228 0.6× 396 1.1× 124 0.4× 196 1.0× 165 1.4× 50 693

Countries citing papers authored by Ryan Heartfield

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan Heartfield

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Heartfield. A scholar is included among the top collaborators of Ryan Heartfield 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 Ryan Heartfield. Ryan Heartfield 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.
Heartfield, Ryan, et al.. (2025). Real-Time Anomaly Detection for Industrial Robotic Arms Using Edge Computing. IEEE Internet of Things Journal. 12(15). 29696–29712. 1 indexed citations
2.
Heartfield, Ryan, et al.. (2024). CASPER: Context-Aware IoT Anomaly Detection System for Industrial Robotic Arms. ORCA Online Research @Cardiff (Cardiff University). 5(3). 1–36. 5 indexed citations
3.
Budimir, Sanja, Johnny R. J. Fontaine, Nicole Huijts, et al.. (2024). We Are Not Equipped to Identify the First Signs of Cyber–Physical Attacks: Emotional Reactions to Cybersecurity Breaches on Domestic Internet of Things Devices. Applied Sciences. 14(24). 11855–11855. 1 indexed citations
4.
Loukas, George, et al.. (2022). Virtually secure: A taxonomic assessment of cybersecurity challenges in virtual reality environments. Computers & Security. 124. 102951–102951. 34 indexed citations
5.
Kasnesis, Panagiotis, Ryan Heartfield, Xing Liang, et al.. (2021). Transformer-based identification of stochastic information cascades in social networks using text and image similarity. Applied Soft Computing. 108. 107413–107413. 7 indexed citations
6.
Loukas, George, et al.. (2021). Detecting framerate-oriented cyber attacks on user experience in virtual reality. Brunel University Research Archive (BURA) (Brunel University London). 7 indexed citations
7.
Kasnesis, Panagiotis, et al.. (2020). A Prototype Deep Learning Paraphrase Identification Service for Discovering Information Cascades in Social Networks. Greenwich Academic Literature Archive (University of Greenwich). 1–4. 4 indexed citations
8.
Heartfield, Ryan, George Loukas, Anatolij Bezemskij, & Emmanouil Panaousis. (2020). Self-Configurable Cyber-Physical Intrusion Detection for Smart Homes Using Reinforcement Learning. IEEE Transactions on Information Forensics and Security. 16. 1720–1735. 77 indexed citations
9.
Heartfield, Ryan, et al.. (2019). A Prototype Framework for Assessing Information Provenance in Decentralised Social Media: The EUNOMIA Concept. Zenodo (CERN European Organization for Nuclear Research).
10.
Kogias, Dimitrios G., et al.. (2019). Toward a Blockchain-Enabled Crowdsourcing Platform. IT Professional. 21(5). 18–25. 9 indexed citations
11.
Heartfield, Ryan, George Loukas, Sanja Budimir, et al.. (2018). A taxonomy of cyber-physical threats and impact in the smart home. Computers & Security. 78. 398–428. 95 indexed citations
12.
Heartfield, Ryan & George Loukas. (2018). Detecting semantic social engineering attacks with the weakest link: Implementation and empirical evaluation of a human-as-a-security-sensor framework. Computers & Security. 76. 101–127. 49 indexed citations
13.
Heartfield, Ryan, George Loukas, & Diane Gan. (2017). An eye for deception: A case study in utilizing the human-as-a-security-sensor paradigm to detect zero-day semantic social engineering attacks. Greenwich Academic Literature Archive (University of Greenwich). 371–378. 10 indexed citations
14.
Loukas, George, et al.. (2017). Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning. IEEE Access. 6. 3491–3508. 182 indexed citations
15.
Heartfield, Ryan, et al.. (2017). Assessing the cyber-trustworthiness of human-as-a-sensor reports from mobile devices. Greenwich Academic Literature Archive (University of Greenwich). 48. 387–394. 7 indexed citations
16.
Heartfield, Ryan & George Loukas. (2016). Evaluating the reliability of users as human sensors of social media security threats. 1–7. 6 indexed citations
17.
Loukas, George, et al.. (2016). Computation offloading of a vehicle’s continuous intrusion detection workload for energy efficiency and performance. Simulation Modelling Practice and Theory. 73. 83–94. 28 indexed citations
18.
Gan, Diane & Ryan Heartfield. (2016). Social engineering in the internet of everything. 9 indexed citations
19.
Heartfield, Ryan, George Loukas, & Diane Gan. (2016). You Are Probably Not the Weakest Link: Towards Practical Prediction of Susceptibility to Semantic Social Engineering Attacks. IEEE Access. 4. 6910–6928. 57 indexed citations
20.
Heartfield, Ryan & George Loukas. (2015). A Taxonomy of Attacks and a Survey of Defence Mechanisms for Semantic Social Engineering Attacks. ACM Computing Surveys. 48(3). 1–39. 113 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pelin Angın Breakdown of academic impact, for papers by Sergey Bezzateev Breakdown of academic impact, for papers by Mauro Migliardi Breakdown of academic impact, for papers by Justin Cappos Breakdown of academic impact, for papers by Murtuza Jadliwala Breakdown of academic impact, for papers by Yves Roudier Breakdown of academic impact, for papers by José M. de Fuentes Breakdown of academic impact, for papers by Kutub Thakur Breakdown of academic impact, for papers by Roman Schlegel Breakdown of academic impact, for papers by Virginia N. L. Franqueira
Rankless by CCL
2026