Thijs van Ede

445 total citations
10 papers, 262 citations indexed

About

Thijs van Ede is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Thijs van Ede has authored 10 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Thijs van Ede's work include Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Malware Detection Techniques (4 papers). Thijs van Ede is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Malware Detection Techniques (4 papers). Thijs van Ede collaborates with scholars based in Netherlands, United States and Germany. Thijs van Ede's co-authors include Andrea Continella, Riccardo Bortolameotti, Peter Andreas, Maarten van Steen, David Choffnes, Daniel J. Dubois, Jingjing Ren, Martina Lindorfer, Christopher Kruegel and Marco Cova and has published in prestigious journals such as TU/e Research Portal, University of Twente Research Information and Open Research Online (The Open University).

In The Last Decade

Thijs van Ede

10 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thijs van Ede Netherlands 5 212 211 107 58 28 10 262
Riccardo Bortolameotti Netherlands 3 197 0.9× 198 0.9× 94 0.9× 55 0.9× 25 0.9× 4 241
Tomáš Jirsík Czechia 9 189 0.9× 137 0.6× 95 0.9× 72 1.2× 16 0.6× 23 226
Milan Čermák Czechia 8 344 1.6× 331 1.6× 158 1.5× 80 1.4× 51 1.8× 20 392
Yufeng Li China 4 121 0.6× 218 1.0× 103 1.0× 30 0.5× 22 0.8× 7 263
Šarūnas Grigaliūnas Lithuania 7 235 1.1× 191 0.9× 166 1.6× 83 1.4× 16 0.6× 23 329
Hossein Rouhani Zeidanloo Malaysia 8 184 0.9× 151 0.7× 146 1.4× 50 0.9× 44 1.6× 14 248
Mohammad Saidur Rahman United States 6 131 0.6× 224 1.1× 67 0.6× 55 0.9× 56 2.0× 10 237
Payap Sirinam United States 3 293 1.4× 426 2.0× 147 1.4× 98 1.7× 95 3.4× 4 445
Rakyong Choi South Korea 5 155 0.7× 202 1.0× 73 0.7× 43 0.7× 32 1.1× 11 270

Countries citing papers authored by Thijs van Ede

Since Specialization
Citations

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

Fields of papers citing papers by Thijs van Ede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thijs van Ede. 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 Thijs van Ede. The network helps show where Thijs van Ede may publish in the future.

Co-authorship network of co-authors of Thijs van Ede

This figure shows the co-authorship network connecting the top 25 collaborators of Thijs van Ede. A scholar is included among the top collaborators of Thijs van Ede 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 Thijs van Ede. Thijs van Ede is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ede, Thijs van, et al.. (2023). Table of Contents. v–viii. 1 indexed citations
2.
Ede, Thijs van, et al.. (2023). HoneyKube: Designing and Deploying a Microservices-based Web Honeypot. University of Twente Research Information. 1–11. 7 indexed citations
3.
Ede, Thijs van, et al.. (2023). Mobile App Fingerprinting through Automata Learning and Machine Learning. University of Twente Research Information. 1–9. 2 indexed citations
4.
Ede, Thijs van, et al.. (2022). Federated Lab (FedLab): An Open-source Distributed Platform for Internet of Things (IoT) Research and Experimentation. TU/e Research Portal. 1–8. 1 indexed citations
5.
Ede, Thijs van, Hojjat Aghakhani, Riccardo Bortolameotti, et al.. (2022). DEEPCASE: Semi-Supervised Contextual Analysis of Security Events. Open Research Online (The Open University). 522–539. 53 indexed citations
6.
Ede, Thijs van, et al.. (2022). Stepping out of the MUD: Contextual threat information for IoT devices with manufacturer-provided behavior profiles. TU/e Research Portal. 467–480. 9 indexed citations
7.
Ede, Thijs van, et al.. (2022). Detecting Anomalous Misconfigurations in AWS Identity and Access Management Policies. University of Twente Research Information. 63–74. 1 indexed citations
8.
Ede, Thijs van, Riccardo Bortolameotti, Andrea Continella, et al.. (2020). FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic. University of Twente Research Information. 171 indexed citations
9.
Bortolameotti, Riccardo, Thijs van Ede, Andrea Continella, et al.. (2020). HeadPrint. University of Twente Research Information. 1696–1705. 2 indexed citations
10.
Bortolameotti, Riccardo, Thijs van Ede, Marco Caselli, et al.. (2017). DECANTeR. University of Twente Research Information. 373–386. 15 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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