Thomas Durieux

2.1k total citations · 1 hit paper
15 papers, 672 citations indexed

About

Thomas Durieux is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Thomas Durieux has authored 15 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 7 papers in Software and 6 papers in Signal Processing. Recurrent topics in Thomas Durieux's work include Software Engineering Research (9 papers), Software Testing and Debugging Techniques (7 papers) and Advanced Malware Detection Techniques (6 papers). Thomas Durieux is often cited by papers focused on Software Engineering Research (9 papers), Software Testing and Debugging Techniques (7 papers) and Advanced Malware Detection Techniques (6 papers). Thomas Durieux collaborates with scholars based in Netherlands, Sweden and France. Thomas Durieux's co-authors include Martin Monperrus, Matías Martínez, Jifeng Xuan, Daniel Le Berre, Maxime Clément, João F. Ferreira, Pedro E. D. Cruz, Rui Abreu, Benoît Baudry and June Sallou and has published in prestigious journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering and ACM Transactions on Software Engineering and Methodology.

In The Last Decade

Thomas Durieux

12 papers receiving 660 citations

Hit Papers

Nopol: Automatic Repair of Conditional Statement Bugs in ... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Thomas Durieux
Gustavo Grieco United States
Van Nguyen Australia
Shangqing Liu Singapore
Davide Spadini Netherlands
Zhengzi Xu Singapore
Francisco Servant United States
Eelco Dolstra Netherlands
Gustavo Grieco United States
Thomas Durieux
Citations per year, relative to Thomas Durieux Thomas Durieux (= 1×) peers Gustavo Grieco

Countries citing papers authored by Thomas Durieux

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Durieux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Durieux

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

All Works

15 of 15 papers shown
1.
Durieux, Thomas, et al.. (2025). GHALogs: Large-Scale Dataset of GitHub Actions Runs. 669–673.
3.
Angelo, Monika di, Thomas Durieux, João F. Ferreira, & Gernot Salzer. (2024). Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study. Empirical Software Engineering. 29(2). 6 indexed citations
4.
Sallou, June, Thomas Durieux, & Annibale Panichella. (2024). Breaking the Silence: the Threats of Using LLMs in Software Engineering. 102–106. 30 indexed citations
5.
Durieux, Thomas. (2024). Empirical Study of the Docker Smells Impact on the Image Size. 1–12. 5 indexed citations
6.
Durieux, Thomas, et al.. (2024). S.C.A.L.E: A CO2-Aware Scheduler for OpenShift at ING. 429–439. 1 indexed citations
7.
Angelo, Monika di, Thomas Durieux, João F. Ferreira, & Gernot Salzer. (2023). SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart Contracts. Research Repository (Delft University of Technology). 2102–2105. 14 indexed citations
8.
Durieux, Thomas, et al.. (2022). Coverage-Based Debloating for Java Bytecode. ACM Transactions on Software Engineering and Methodology. 32(2). 1–34. 9 indexed citations
9.
Ye, He, Jian Gu, Matías Martínez, Thomas Durieux, & Martin Monperrus. (2021). Automated Classification of Overfitting Patches With Statically Extracted Code Features. IEEE Transactions on Software Engineering. 48(8). 2920–2938. 43 indexed citations
10.
Durieux, Thomas, et al.. (2021). Duets: A Dataset of Reproducible Pairs of Java Library-Clients. 545–549. 5 indexed citations
11.
Durieux, Thomas, et al.. (2021). A longitudinal analysis of bloated Java dependencies. 1021–1031. 32 indexed citations
12.
Durieux, Thomas, Youssef Hamadi, & Martin Monperrus. (2020). Fully Automated HTML and JavaScript Rewriting for Constructing a Self‐healing Web Proxy. Software Testing Verification and Reliability. 30(2).
13.
Ferreira, João F., Pedro E. D. Cruz, Thomas Durieux, & Rui Abreu. (2020). SmartBugs. 1349–1352. 83 indexed citations
14.
Martínez, Matías, et al.. (2016). Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset. Empirical Software Engineering. 22(4). 1936–1964. 169 indexed citations
15.
Xuan, Jifeng, Matías Martínez, Maxime Clément, et al.. (2016). Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs. IEEE Transactions on Software Engineering. 43(1). 34–55. 275 indexed citations breakdown →

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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