Stephen Hailes

7.5k total citations · 2 hit papers
137 papers, 4.4k citations indexed

About

Stephen Hailes is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Stephen Hailes has authored 137 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Networks and Communications, 25 papers in Electrical and Electronic Engineering and 23 papers in Artificial Intelligence. Recurrent topics in Stephen Hailes's work include Opportunistic and Delay-Tolerant Networks (13 papers), Access Control and Trust (13 papers) and Mobile Ad Hoc Networks (13 papers). Stephen Hailes is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (13 papers), Access Control and Trust (13 papers) and Mobile Ad Hoc Networks (13 papers). Stephen Hailes collaborates with scholars based in United Kingdom, United States and Italy. Stephen Hailes's co-authors include Nilufer Tuptuk, Mirco Musolesi, Cecilia Mascolo, Licia Capra, Neal Lathia, Alan M. Wilson, Saleem Bhatti, Xavier Amatriain, Daniele Quercia and Ivan P. Parkin and has published in prestigious journals such as Nature, PLoS ONE and Scientific Reports.

In The Last Decade

Stephen Hailes

128 papers receiving 4.0k citations

Hit Papers

Supporting trust in virtual communities 2005 2026 2012 2019 2005 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Hailes United Kingdom 30 1.9k 1.1k 1.0k 997 536 137 4.4k
Hamed Haddadi United Kingdom 29 1.5k 0.8× 1.0k 0.9× 1.2k 1.1× 1.8k 1.8× 830 1.5× 108 5.3k
Mehmet A. Orgun Australia 36 1.3k 0.7× 2.0k 1.8× 452 0.4× 2.0k 2.0× 392 0.7× 231 4.9k
Raja Jurdak Australia 33 3.5k 1.9× 2.9k 2.6× 269 0.3× 1.1k 1.1× 1.7k 3.2× 207 7.0k
Cecilia Mascolo United Kingdom 50 4.4k 2.3× 1.1k 1.0× 722 0.7× 1.3k 1.3× 1.6k 3.0× 271 9.8k
G. M. P. O’Hare Ireland 35 1.7k 0.9× 337 0.3× 230 0.2× 919 0.9× 1.2k 2.2× 313 5.1k
Carsten Maple United Kingdom 37 2.0k 1.1× 1.6k 1.4× 458 0.4× 1.2k 1.2× 1.3k 2.4× 366 5.3k
Michael Weber Germany 31 706 0.4× 510 0.5× 360 0.3× 686 0.7× 488 0.9× 171 3.6k
Sasu Tarkoma Finland 37 3.0k 1.6× 1.0k 0.9× 248 0.2× 994 1.0× 1.5k 2.8× 333 6.0k
Zheng Wang China 40 2.3k 1.2× 1.4k 1.2× 299 0.3× 1.6k 1.6× 1.4k 2.5× 371 6.1k
Josep M. Pujol Spain 15 723 0.4× 996 0.9× 398 0.4× 2.4k 2.4× 179 0.3× 27 5.1k

Countries citing papers authored by Stephen Hailes

Since Specialization
Citations

This map shows the geographic impact of Stephen Hailes'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 Stephen Hailes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Hailes more than expected).

Fields of papers citing papers by Stephen Hailes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Hailes. 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 Stephen Hailes. The network helps show where Stephen Hailes may publish in the future.

Co-authorship network of co-authors of Stephen Hailes

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Hailes. A scholar is included among the top collaborators of Stephen Hailes 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 Stephen Hailes. Stephen Hailes 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.
Borrion, Hervé, et al.. (2025). Using Agent-Based Modelling and Reinforcement Learning to Study Hybrid Threats. Journal of Artificial Societies and Social Simulation. 28(1). 1 indexed citations
2.
Ani, Uchenna, et al.. (2025). Socio‐Technical Security Modelling and Simulations in Cyber‐Physical Systems: Outlook on Knowledge, Perceptions, Practices, Enablers, and Barriers. IET Cyber-Physical Systems Theory & Applications. 10(1). 1 indexed citations
3.
Hailes, Stephen, et al.. (2024). Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 1444–1454.
4.
Hailes, Stephen, et al.. (2023). Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 317–325. 6 indexed citations
5.
Ani, Uchenna, et al.. (2023). Drawing on the Success of Developing a Safety Culture to Improve the Security Culture in Companies That Use Operational Technology. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 3455–3462. 1 indexed citations
6.
Hailes, Stephen, et al.. (2021). Solving Graph-based Public Goods Games with Tree Search and Imitation Learning. Neural Information Processing Systems. 34. 2 indexed citations
8.
Gómez, Vicenç, et al.. (2015). Real-Time Stochastic Optimal Control for Multi-agent Quadrotor Systems. arXiv (Cornell University). 468–476. 12 indexed citations
9.
Grünewälder, Steffen, Femke Broekhuis, David W. Macdonald, et al.. (2012). Movement Activity Based Classification of Animal Behaviour with an Application to Data from Cheetah (Acinonyx jubatus). PLoS ONE. 7(11). e49120–e49120. 66 indexed citations
10.
Gupta, Manik, et al.. (2011). Design and evaluation of an adaptive sampling strategy for a wireless air pollution sensor network. 1003–1010. 20 indexed citations
11.
Kerwin, David G., et al.. (2011). CHANGES IN STEP CHARACTERISTICS DURING SPRINT PERFORMANCE DEVELOPMENT. ISBS - Conference Proceedings Archive. 1(1). 1 indexed citations
12.
King, Andrew J., Hamed Haddadi, Skye R. Rudiger, et al.. (2011). Data-loggers carried on a harness do not adversely affect sheep locomotion. Research in Veterinary Science. 93(1). 549–552. 12 indexed citations
13.
Cheng, L.M., et al.. (2008). An experimental study on a motion sensing system for sports training. UCL Discovery (University College London). 7 indexed citations
14.
Quercia, Daniele & Stephen Hailes. (2006). MATE: Mobility and Adaptation with Trust and Expected-utility. International Journal of Internet Technology and Secured Transactions. 7 indexed citations
15.
Hailes, Stephen, et al.. (2004). ADAM: An Agent-based Middleware Architecture for Distributed Access Control. UCL Discovery (University College London). 6 indexed citations
16.
Greenhalgh, Adam & Stephen Hailes. (2004). Don't listen, talk: A comparative study of transmit and receive power for low power radios. UCL Discovery (University College London). 38(1). 20–7. 2 indexed citations
17.
Hailes, Stephen, et al.. (1999). Relying On Trust To Find Reliable Information. UCL Discovery (University College London). 26 indexed citations
18.
Wilbur, Steve, et al.. (1998). Digital University: Reinventing the Academy. Springer eBooks. 9(4). 62–72. 31 indexed citations
19.
Hailes, Stephen, et al.. (1997). Using Recommendations for Managing Trust in Distributed Systems. UCL Discovery (University College London). 68 indexed citations
20.
Crowcroft, Jon, et al.. (1992). Some Multimedia Traffic Characterization and Measurement Results.. Networks. 3–14.

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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