Christophe Hauser

1.3k total citations · 1 hit paper
13 papers, 780 citations indexed

About

Christophe Hauser is a scholar working on Signal Processing, Artificial Intelligence and Software. According to data from OpenAlex, Christophe Hauser has authored 13 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 7 papers in Artificial Intelligence and 7 papers in Software. Recurrent topics in Christophe Hauser's work include Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (7 papers) and Security and Verification in Computing (6 papers). Christophe Hauser is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (7 papers) and Security and Verification in Computing (6 papers). Christophe Hauser collaborates with scholars based in United States, France and Greece. Christophe Hauser's co-authors include Yan Shoshitaishvili, Christopher Kruegel, Ruoyu Wang, Giovanni Vigna, Christopher Salls, Mario Polino, Mukund Raghothaman, Jelena Mirković, Stephen Schwab and Sébastien Bardin and has published in prestigious journals such as ACM Transactions on Software Engineering and Methodology, Virtual Community of Pathological Anatomy (University of Castilla La Mancha) and Proceedings of the ACM on software engineering..

In The Last Decade

Christophe Hauser

9 papers receiving 734 citations

Hit Papers

SOK: (State of) The Art of War: Offensive Techniques in B... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christophe Hauser United States 4 593 411 346 295 180 13 780
Robert Gawlik Germany 9 530 0.9× 354 0.9× 342 1.0× 309 1.0× 154 0.9× 14 716
Lorenzo Martignoni Italy 13 573 1.0× 358 0.9× 344 1.0× 290 1.0× 280 1.6× 17 750
Omer Tripp United States 17 554 0.9× 529 1.3× 404 1.2× 663 2.2× 237 1.3× 55 984
Johannes Kinder United Kingdom 12 523 0.9× 228 0.6× 366 1.1× 323 1.1× 334 1.9× 24 720
Cornelius Aschermann Germany 12 405 0.7× 247 0.6× 485 1.4× 270 0.9× 99 0.6× 15 701
Vitaly Chipounov Switzerland 11 465 0.8× 362 0.9× 616 1.8× 308 1.0× 286 1.6× 15 947
Vijay Sundaresan Canada 9 352 0.6× 440 1.1× 419 1.2× 485 1.6× 308 1.7× 22 943
Qirun Zhang United States 13 259 0.4× 202 0.5× 517 1.5× 395 1.3× 110 0.6× 31 680
Raja Vallée-Rai Canada 6 388 0.7× 385 0.9× 444 1.3× 513 1.7× 263 1.5× 6 874
Asia Slowinska Netherlands 13 648 1.1× 589 1.4× 197 0.6× 290 1.0× 323 1.8× 23 834

Countries citing papers authored by Christophe Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Hauser

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

All Works

13 of 13 papers shown
2.
Hauser, Christophe, et al.. (2025). WildSync: Automated Fuzzing Harness Synthesis via Wild API Usage Recovery. Proceedings of the ACM on software engineering.. 2(ISSTA). 963–984.
3.
Raghothaman, Mukund, et al.. (2025). BinPool: A Dataset of Vulnerabilities for Binary Security Analysis. 1183–1187.
4.
Bardin, Sébastien, et al.. (2024). Fine-grained Coverage-based Fuzzing - RCR Report. ACM Transactions on Software Engineering and Methodology. 33(5). 1–4.
5.
Mirković, Jelena, et al.. (2024). BinHunter: A Fine-Grained Graph Representation for Localizing Vulnerabilities in Binary Executables*. 1062–1074. 2 indexed citations
6.
Bardin, Sébastien, et al.. (2023). Fine-grained Coverage-based Fuzzing. ACM Transactions on Software Engineering and Methodology. 33(5). 1–41. 6 indexed citations
7.
Wang, Haoda, et al.. (2023). Leader: Defense Against Exploit-Based Denial-of-Service Attacks on Web Applications. 744–758. 1 indexed citations
9.
May, Jonathan, et al.. (2021). PERFUME. 59–69. 1 indexed citations
10.
Hauser, Christophe, et al.. (2019). Sleak. 190–202. 2 indexed citations
11.
Hauser, Christophe, et al.. (2018). A Binary Analysis Approach to Retrofit Security in Input Parsing Routines. 306–322. 3 indexed citations
12.
Shoshitaishvili, Yan, Ruoyu Wang, Christopher Salls, et al.. (2016). SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 138–157. 528 indexed citations breakdown →
13.
Shoshitaishvili, Yan, Ruoyu Wang, Christophe Hauser, Christopher Kruegel, & Giovanni Vigna. (2015). Firmalice - Automatic Detection of Authentication Bypass Vulnerabilities in Binary Firmware. 235 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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