Mike Papadakis

6.3k total citations · 1 hit paper
142 papers, 3.7k citations indexed

About

Mike Papadakis is a scholar working on Software, Information Systems and Signal Processing. According to data from OpenAlex, Mike Papadakis has authored 142 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Software, 94 papers in Information Systems and 35 papers in Signal Processing. Recurrent topics in Mike Papadakis's work include Software Testing and Debugging Techniques (107 papers), Software Engineering Research (91 papers) and Software Reliability and Analysis Research (70 papers). Mike Papadakis is often cited by papers focused on Software Testing and Debugging Techniques (107 papers), Software Engineering Research (91 papers) and Software Reliability and Analysis Research (70 papers). Mike Papadakis collaborates with scholars based in Luxembourg, United Kingdom and Greece. Mike Papadakis's co-authors include Yves Le Traon, Nicos Malevris, Mark Harman, Christopher Henard, Yue Jia, Jacques Klein, Marinos Kintis, Gilles Perrouin, Thierry Titcheu Chekam and Maxime Cordy and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and Journal of Systems and Software.

In The Last Decade

Mike Papadakis

133 papers receiving 3.6k citations

Hit Papers

Metallaxis‐FL: mutation‐based fault localization 2013 2026 2017 2021 2013 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Metallaxis‐FL: mutation‐based fault localization
    2013 230 citations Mike Papadakis, Yves Le Traon profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mike Papadakis Luxembourg 32 3.0k 2.3k 862 819 580 142 3.7k
Lingming Zhang United States 39 3.5k 1.2× 2.9k 1.2× 879 1.0× 622 0.8× 910 1.6× 106 4.5k
Lu Zhang China 41 4.0k 1.3× 4.3k 1.8× 1.1k 1.3× 958 1.2× 1.3k 2.3× 159 5.7k
Myra B. Cohen United States 33 3.5k 1.2× 2.2k 1.0× 738 0.9× 337 0.4× 924 1.6× 113 4.1k
Fei‐Ching Kuo Australia 25 2.2k 0.7× 1.3k 0.5× 472 0.5× 346 0.4× 497 0.9× 83 2.7k
Yvan Labiche Canada 36 3.6k 1.2× 3.1k 1.3× 1.2k 1.4× 303 0.4× 958 1.7× 124 4.5k
Zhi Quan Zhou Australia 24 1.7k 0.6× 857 0.4× 614 0.7× 338 0.4× 444 0.8× 102 2.4k
Marcel Böhme Germany 20 1.7k 0.6× 981 0.4× 499 0.6× 1.0k 1.2× 282 0.5× 54 2.1k
Michael Pradel Germany 33 1.9k 0.6× 2.1k 0.9× 818 0.9× 823 1.0× 887 1.5× 115 3.0k
Paul Ammann United States 31 2.7k 0.9× 2.5k 1.1× 709 0.8× 1.1k 1.4× 1.8k 3.1× 113 4.6k
Sarfraz Khurshid United States 38 4.5k 1.5× 3.2k 1.4× 1.5k 1.7× 811 1.0× 1.1k 1.8× 186 5.7k

Countries citing papers authored by Mike Papadakis

Since Specialization
Citations

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

Fields of papers citing papers by Mike Papadakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Papadakis

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

All Works

20 of 20 papers shown
1.
Hu, Qiang, Xiaofei Xie, Maxime Cordy, et al.. (2025). Assessing the Robustness of Test Selection Methods for Deep Neural Networks. ACM Transactions on Software Engineering and Methodology.
2.
Hu, Qiang, Zhenya Zhang, Maxime Cordy, et al.. (2025). Boosting source code learning with text-oriented data augmentation: an empirical study. Empirical Software Engineering. 30(3). 1 indexed citations
3.
Li, Yinghua, et al.. (2024). Test Input Prioritization for Machine Learning Classifiers. IEEE Transactions on Software Engineering. 50(3). 413–442. 9 indexed citations
4.
Papadakis, Mike, et al.. (2024). On the Coupling between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset. 305–316. 1 indexed citations
5.
Li, Yinghua, Wei Ma, Qiang Hu, et al.. (2024). Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. Empirical Software Engineering. 29(5). 4 indexed citations
6.
Li, Yinghua, et al.. (2023). GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks. ACM Transactions on Software Engineering and Methodology. 33(1). 1–40. 12 indexed citations
7.
Koyuncu, Anil, Mike Papadakis, Maxime Cordy, et al.. (2022). iBiR : Bug-report-driven Fault Injection. ACM Transactions on Software Engineering and Methodology. 32(2). 1–31. 7 indexed citations
8.
Papadakis, Mike, et al.. (2022). µBert: Mutation Testing using Pre-Trained Language Models. Open Repository and Bibliography (University of Luxembourg). 160–169. 14 indexed citations
9.
Chekam, Thierry Titcheu, Mike Papadakis, Maxime Cordy, & Yves Le Traon. (2021). Killing Stubborn Mutants with Symbolic Execution. Open Repository and Bibliography (University of Luxembourg). 19 indexed citations
10.
Padhye, Rohan, Caroline Lemieux, Koushik Sen, Mike Papadakis, & Yves Le Traon. (2019). Validity Fuzzing and Parametric Generators for Effective Random Testing. Open Repository and Bibliography (University of Luxembourg). 266–267. 8 indexed citations
11.
Padhye, Rohan, Caroline Lemieux, Koushik Sen, Mike Papadakis, & Yves Le Traon. (2018). Zest: Validity Fuzzing and Parametric Generators for Effective Random Testing. arXiv (Cornell University). 5 indexed citations
12.
Chekam, Thierry Titcheu, Mike Papadakis, Tegawendé F. Bissyandé, & Yves Le Traon. (2018). Poster: Predicting the Fault Revelation Utility of Mutants. International Conference on Software Engineering. 1 indexed citations
13.
Jimenez, Matthieu, et al.. (2018). TUNA: TUning Naturalness-Based Analysis. abs 1709 6182. 715–715. 3 indexed citations
14.
Chekam, Thierry Titcheu, Mike Papadakis, Yves Le Traon, & Mark Harman. (2017). An Empirical Study on Mutation, Statement and Branch Coverage Fault Revelation That Avoids the Unreliable Clean Program Assumption. UCL Discovery (University College London). 597–608. 106 indexed citations
15.
Coles, Henry, Thomas Laurent, Christopher Henard, Mike Papadakis, & Anthony Ventresque. (2016). PIT a Practical Mutation Testing Tool for Java. Open Repository and Bibliography (University of Luxembourg). 32 indexed citations
16.
Henard, Christopher, Mike Papadakis, Mark Harman, & Yves Le Traon. (2015). Combining multi-objective search and constraint solving for configuring large software product lines. International Conference on Software Engineering. 1. 517–528. 84 indexed citations
17.
Papadakis, Mike, Yue Jia, Mark Harman, & Yves Le Traon. (2015). Trivial compiler equivalence: a large scale empirical study of a simple, fast and effective equivalent mutant detection technique. International Conference on Software Engineering. 1. 936–946. 110 indexed citations
18.
Papadakis, Mike, Márcio Eduardo Delamaro, & Yves Le Traon. (2014). Mitigating the effects of equivalent mutants with mutant classification strategies. Science of Computer Programming. 95. 298–319. 31 indexed citations
19.
Papadakis, Mike, Nicos Malevris, & Marinos Kintis. (2010). MUTATION TESTING STRATEGIES - A Collateral Approach. 325–328. 7 indexed citations
20.
Papadakis, Mike & Nicos Malevris. (2009). Improving Evolutionary Test Data Generation with the Aid of Symbolic Execution. Journal of Inflammation Research. 14. 201–210. 3 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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