Davy Preuveneers

3.3k total citations
134 papers, 1.6k citations indexed

About

Davy Preuveneers is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Davy Preuveneers has authored 134 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Networks and Communications, 60 papers in Information Systems and 49 papers in Computer Vision and Pattern Recognition. Recurrent topics in Davy Preuveneers's work include Context-Aware Activity Recognition Systems (45 papers), Service-Oriented Architecture and Web Services (18 papers) and IoT and Edge/Fog Computing (16 papers). Davy Preuveneers is often cited by papers focused on Context-Aware Activity Recognition Systems (45 papers), Service-Oriented Architecture and Web Services (18 papers) and IoT and Edge/Fog Computing (16 papers). Davy Preuveneers collaborates with scholars based in Belgium, Hungary and United Kingdom. Davy Preuveneers's co-authors include Wouter Joosen, Yolande Berbers, Elisabeth Ilie‐Zudor, Jan Spooren, Ilias Tsingenopoulos, Vera Rimmer, Stefano Chessa, George Roussos, Anthony Fleury and Carles Gómez and has published in prestigious journals such as Sensors, Future Generation Computer Systems and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Davy Preuveneers

131 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davy Preuveneers Belgium 19 729 609 510 411 202 134 1.6k
Zeeshan Pervez United Kingdom 22 551 0.8× 341 0.6× 506 1.0× 217 0.5× 189 0.9× 87 1.4k
Christos Stergiou Greece 18 1.2k 1.6× 849 1.4× 581 1.1× 291 0.7× 174 0.9× 37 2.3k
Bharat Bhushan India 23 1.0k 1.4× 962 1.6× 497 1.0× 200 0.5× 161 0.8× 122 2.2k
Pronaya Bhattacharya India 28 811 1.1× 1.1k 1.8× 750 1.5× 227 0.6× 124 0.6× 111 2.5k
Theo Tryfonas United Kingdom 20 528 0.7× 542 0.9× 257 0.5× 187 0.5× 324 1.6× 141 1.7k
Hongming Cai China 16 745 1.0× 741 1.2× 373 0.7× 217 0.5× 98 0.5× 137 1.8k
Martin Henze Germany 21 1.0k 1.4× 758 1.2× 832 1.6× 181 0.4× 316 1.6× 69 1.7k
Jaydip Sen India 15 1.1k 1.6× 443 0.7× 316 0.6× 223 0.5× 221 1.1× 83 2.0k
Kendall E. Nygard United States 22 903 1.2× 375 0.6× 398 0.8× 231 0.6× 212 1.0× 109 1.7k
Boyi Xu China 14 873 1.2× 695 1.1× 318 0.6× 238 0.6× 76 0.4× 67 1.7k

Countries citing papers authored by Davy Preuveneers

Since Specialization
Citations

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

Fields of papers citing papers by Davy Preuveneers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davy Preuveneers

This figure shows the co-authorship network connecting the top 25 collaborators of Davy Preuveneers. A scholar is included among the top collaborators of Davy Preuveneers 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 Davy Preuveneers. Davy Preuveneers 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.
Landuyt, Dimitri Van, et al.. (2025). A comparative benchmark study of LLM-based threat elicitation tools. Future Generation Computer Systems. 177. 108243–108243. 1 indexed citations
2.
3.
Preuveneers, Davy, et al.. (2024). Defending Against AI Threats with a User-Centric Trustworthiness Assessment Framework. Big Data and Cognitive Computing. 8(11). 142–142. 1 indexed citations
4.
Preuveneers, Davy, et al.. (2023). Masterkey attacks against free-text keystroke dynamics and security implications of demographic factors. Lirias (KU Leuven). 2 indexed citations
5.
Preuveneers, Davy, et al.. (2021). Gait Authentication based on Spiking Neural Networks.. Lirias (KU Leuven). 51–60. 1 indexed citations
6.
Rimmer, Vera, et al.. (2018). Fishy Faces: Crafting Adversarial Images to Poison Face Authentication. Lirias (KU Leuven). 5 indexed citations
7.
Rimmer, Vera, Davy Preuveneers, Marc Juárez, Tom Van Goethem, & Wouter Joosen. (2017). Automated Feature Extraction for Website Fingerprinting through Deep Learning.. arXiv (Cornell University). 10 indexed citations
8.
Preuveneers, Davy & Elisabeth Ilie‐Zudor. (2017). The intelligent industry of the future: A survey on emerging trends, research challenges and opportunities in Industry 4.0. Journal of Ambient Intelligence and Smart Environments. 9(3). 287–298. 135 indexed citations
9.
Preuveneers, Davy, et al.. (2016). Adaptive Dissemination for Mobile Electronic Health Record Applications with Proactive Situational Awareness. Lirias (KU Leuven). 3229–3238. 4 indexed citations
10.
Preuveneers, Davy & Wouter Joosen. (2015). SparkXS: Efficient Access Control for Intelligent and Large-Scale Streaming Data Applications. Lirias (KU Leuven). 96–103. 5 indexed citations
11.
Preuveneers, Davy, et al.. (2014). Dynamic deployment and reconfiguration of intelligent applications in mobile cloud computing with context-driven probabilistic models. Lirias (KU Leuven). 1 indexed citations
12.
Augusto, Juan Carlos, et al.. (2013). Proceedings of the 9th international conference on intelligentenvironments (IE '13). IEEE Press eBooks. 22 indexed citations
13.
Yasar, Ansar-Ul-Haque, et al.. (2008). A computational analysis of driving variations on distributed multiuser driving simulators. Lirias (KU Leuven). 178–186. 9 indexed citations
14.
Preuveneers, Davy & Yolande Berbers. (2008). Mobile phones assisting with health self-care. Lirias (KU Leuven). 177–186. 83 indexed citations
15.
Preuveneers, Davy, et al.. (2006). Context-aware adaptation for component-based pervasive computing systems. 207. 125–128. 6 indexed citations
16.
Preuveneers, Davy, et al.. (2006). .NET Remoting and Web Services: A Lightweight Bridge between the .NET Compact and Full Framework. The Journal of Object Technology. 5. 59–81. 1 indexed citations
17.
Preuveneers, Davy & Yolande Berbers. (2005). Automated Context-Driven Composition of Pervasive Services to Alleviate Non-Functional Concerns. International Journal of Computing. 150(2). 19–28. 14 indexed citations
18.
Preuveneers, Davy, Peter Rigole, Yves Vandewoude, & Yolande Berbers. (2005). Middleware support for component-based ubiquitous and mobile computing applications. 1–4. 1 indexed citations
19.
Preuveneers, Davy & Yolande Berbers. (2004). ACODYGRA: an agent algorithm for coloring dynamic graphs. 381–390. 11 indexed citations
20.
Preuveneers, Davy & Yolande Berbers. (2004). Suitability of Existing Service Discovery Protocols for Mobile Users in an Ambient Intelligence Environment.. International Conference on Wireless Networks. 760–764. 4 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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