Vera Rimmer

520 total citations
7 papers, 312 citations indexed

About

Vera Rimmer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Vera Rimmer has authored 7 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Signal Processing. Recurrent topics in Vera Rimmer's work include Network Security and Intrusion Detection (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Vera Rimmer is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Vera Rimmer collaborates with scholars based in Belgium, Netherlands and Germany. Vera Rimmer's co-authors include Wouter Joosen, Davy Preuveneers, Jan Spooren, Elisabeth Ilie‐Zudor, Ilias Tsingenopoulos, Tom Van Goethem, Marc Juárez, Katharina Kohls, Giovanni Apruzzese and Pavel Laskov and has published in prestigious journals such as Applied Sciences, arXiv (Cornell University) and Lirias (KU Leuven).

In The Last Decade

Vera Rimmer

6 papers receiving 303 citations

Peers

Vera Rimmer
Jan Spooren Belgium
Ilias Tsingenopoulos Belgium
Takoua Abdellatif Tunisia
Zhiyi Tian Australia
Šarūnas Grigaliūnas Lithuania
Faheem Ullah Australia
Sari Sultan Kuwait
Hao Fu United States
Ahsan Nazir China
Andrea Paudice Italy
Jan Spooren Belgium
Vera Rimmer
Citations per year, relative to Vera Rimmer Vera Rimmer (= 1×) peers Jan Spooren

Countries citing papers authored by Vera Rimmer

Since Specialization
Citations

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

Fields of papers citing papers by Vera Rimmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Rimmer

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

All Works

7 of 7 papers shown
1.
Apruzzese, Giovanni, et al.. (2025). SoK: On the Offensive Potential of AI. Lirias (KU Leuven). 247–280.
2.
Rimmer, Vera, et al.. (2022). Position Paper. Lirias (KU Leuven). 15–20. 2 indexed citations
3.
Rimmer, Vera, et al.. (2022). Trace Oddity: Methodologies for Data-Driven Traffic Analysis on Tor. Proceedings on Privacy Enhancing Technologies. 2022(3). 314–335. 6 indexed citations
4.
Rimmer, Vera, et al.. (2021). Troubleshooting an Intrusion Detection Dataset: the CICIDS2017 Case Study. Lirias (KU Leuven). 7–12. 79 indexed citations
5.
Rimmer, Vera, et al.. (2018). Fishy Faces: Crafting Adversarial Images to Poison Face Authentication. Lirias (KU Leuven). 5 indexed citations
6.
Preuveneers, Davy, Vera Rimmer, Ilias Tsingenopoulos, et al.. (2018). Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study. Applied Sciences. 8(12). 2663–2663. 210 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

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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