Pierre Laperdrix

958 total citations
12 papers, 286 citations indexed

About

Pierre Laperdrix is a scholar working on Signal Processing, Information Systems and Artificial Intelligence. According to data from OpenAlex, Pierre Laperdrix has authored 12 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Information Systems and 7 papers in Artificial Intelligence. Recurrent topics in Pierre Laperdrix's work include Advanced Malware Detection Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Spam and Phishing Detection (4 papers). Pierre Laperdrix is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Spam and Phishing Detection (4 papers). Pierre Laperdrix collaborates with scholars based in France, United States and Netherlands. Pierre Laperdrix's co-authors include Benoît Baudry, Walter Rudametkin, Nataliia Bielova, Gildas Avoine, Nick Nikiforakis, Romain Rouvoy, Nima Honarmand, Meng Luo, Oleksii Starov and Alexandros Kapravelos and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Transactions on Internet Technology and ACM Transactions on the Web.

In The Last Decade

Pierre Laperdrix

10 papers receiving 284 citations

Peers

Pierre Laperdrix

IS

AI

SP

SPS

CNC

Walter Rudametkin France

Oleksii Starov United States

Pierre‐Antoine Vervier United States

Tom Van Goethem Belgium

Sergej Dechand Germany

Christian Mainka Germany

Roger Iyengar United States

Panagiotis Ilia United States

Maliheh Shirvanian United States

Xavier de Carné de Carnavalet Canada

Walter Rudametkin France

Pierre Laperdrix

141 ×0.8

IS

124 ×0.7

AI

96 ×0.6

SP

63 ×0.8

SPS

37 ×0.9

CNC

Citations per year, relative to Pierre Laperdrix Pierre Laperdrix (= 1×) peers Walter Rudametkin

Countries citing papers authored by Pierre Laperdrix

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Laperdrix

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Laperdrix

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

All Works

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12 of 12 papers shown

1.

Laperdrix, Pierre, et al.. (2025). Exploring the Enforcement of Cookie Notices across Continents: An Empirical Study. SPIRE - Sciences Po Institutional REpository. 198–207.

2.

Santos, Cristiana, et al.. (2024). The Devil is in the Details: Detection, Measurement and Lawfulness of Server-Side Tracking on the Web. Proceedings on Privacy Enhancing Technologies. 2024(4). 450–465.

3.

Laperdrix, Pierre, et al.. (2023). Breaking Bad: Quantifying the Addiction of Web Elements to JavaScript. ACM Transactions on Internet Technology. 23(1). 1–28. 1 indexed citations

4.

Laperdrix, Pierre, et al.. (2022). The Price to Play: A Privacy Analysis of Free and Paid Games in the Android Ecosystem. Proceedings of the ACM Web Conference 2022. 3440–3449. 6 indexed citations

5.

Mishra, Vikash Kumar, Pierre Laperdrix, Walter Rudametkin, & Romain Rouvoy. (2021). Déjà vu: Abusing Browser Cache Headers to Identify and Track Online Users. SHILAP Revista de lepidopterología. 2021(2). 391–406. 1 indexed citations

6.

Maurice, Clémentine, et al.. (2021). SoK: In Search of Lost Time: A Review of JavaScript Timers in Browsers. 472–486. 10 indexed citations

7.

Laperdrix, Pierre, Nataliia Bielova, Benoît Baudry, & Gildas Avoine. (2020). Browser Fingerprinting. ACM Transactions on the Web. 14(2). 1–33. 72 indexed citations

8.

Laperdrix, Pierre, et al.. (2019). Less is More: Quantifying the Security Benefits of Debloating Web Applications. USENIX Security Symposium. 1697–1714. 15 indexed citations

9.

Starov, Oleksii, Pierre Laperdrix, Alexandros Kapravelos, & Nick Nikiforakis. (2019). Unnecessarily Identifiable: Quantifying the fingerprintability of browser extensions due to bloat. 3244–3250. 12 indexed citations

10.

Luo, Meng, Pierre Laperdrix, Nima Honarmand, & Nick Nikiforakis. (2019). Time Does Not Heal All Wounds: A Longitudinal Analysis of Security-Mechanism Support in Mobile Browsers. 17 indexed citations

11.

Laperdrix, Pierre, et al.. (2018). FP-STALKER: Tracking Browser Fingerprint Evolutions. SPIRE - Sciences Po Institutional REpository. 728–741. 45 indexed citations

12.

Laperdrix, Pierre, Walter Rudametkin, & Benoît Baudry. (2016). Beauty and the Beast: Diverting Modern Web Browsers to Build Unique Browser Fingerprints. 878–894. 107 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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