Matías Martínez

3.1k total citations · 1 hit paper
35 papers, 824 citations indexed

About

Matías Martínez is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Matías Martínez has authored 35 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 21 papers in Software and 14 papers in Computer Networks and Communications. Recurrent topics in Matías Martínez's work include Software Engineering Research (22 papers), Software Reliability and Analysis Research (18 papers) and Software Testing and Debugging Techniques (18 papers). Matías Martínez is often cited by papers focused on Software Engineering Research (22 papers), Software Reliability and Analysis Research (18 papers) and Software Testing and Debugging Techniques (18 papers). Matías Martínez collaborates with scholars based in France, Spain and Sweden. Matías Martínez's co-authors include Martin Monperrus, Thomas Durieux, Jifeng Xuan, He Ye, Daniel Le Berre, Maxime Clément, Olivier Barais, Henrik Plate, Jian Gu and Christopher D. Cooper and has published in prestigious journals such as IEEE Transactions on Software Engineering, Journal of Chemical Information and Modeling and Journal of Systems and Software.

In The Last Decade

Matías Martínez

32 papers receiving 814 citations

Hit Papers

Nopol: Automatic Repair of Conditional Statement Bugs in ... 2016 2026 2019 2022 2016 50 100 150 200 250
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. Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
    2016 275 citations Matías Martínez, Martin Monperrus et al. IEEE Transactions on Software Engineering profile →

Peers

Matías Martínez
Valerio Terragni New Zealand
August Shi United States
Fabiano Pecorelli Italy
Sæmundur Ó. Haraldsson United Kingdom
Raúl Santelices United States
Bowen Xu Singapore
Xudong Liu China
Jeremy S. Bradbury Canada
Wontae Choi South Korea
Valerio Terragni New Zealand
Matías Martínez
Citations per year, relative to Matías Martínez Matías Martínez (= 1×) peers Valerio Terragni

Countries citing papers authored by Matías Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Matías Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matías Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of Matías Martínez. A scholar is included among the top collaborators of Matías Martínez 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 Matías Martínez. Matías Martínez 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.
Martínez, Matías, et al.. (2025). Insights into resource utilization of code small language models serving with runtime engines and execution providers. Journal of Systems and Software. 230. 112574–112574.
2.
Martínez, Matías, Silverio Martínez‐Fernández, & Xavier Franch. (2025). The Sustainability Face of Automated Program Repair Tools. ACM Transactions on Software Engineering and Methodology. 34(8). 1–37.
3.
4.
Falleri, Jean‐Rémy & Matías Martínez. (2024). Fine-grained, accurate and scalable source differencing. SPIRE - Sciences Po Institutional REpository. 1–12. 2 indexed citations
5.
Petke, Justyna, Matías Martínez, Maria Kechagia, Aldeida Aleti, & Federica Sarro. (2024). The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking. Monash University Research Portal (Monash University). 452–456. 1 indexed citations
6.
Martínez, Matías, et al.. (2024). Test-based patch clustering for automatically-generated patches assessment. Empirical Software Engineering. 29(5). 116–116. 3 indexed citations
7.
Martínez, Matías, Silverio Martínez‐Fernández, & Xavier Franch. (2024). Energy Consumption of Automated Program Repair. 358–359. 3 indexed citations
8.
Martínez, Matías, et al.. (2023). Learning the Relation Between Code Features and Code Transforms With Structured Prediction. IEEE Transactions on Software Engineering. 49(7). 3872–3900. 5 indexed citations
9.
Martínez, Matías, Jean‐Rémy Falleri, & Martin Monperrus. (2023). Hyperparameter Optimization for AST Differencing. IEEE Transactions on Software Engineering. 49(10). 4814–4828. 5 indexed citations
10.
Ponta, Serena Elisa, et al.. (2023). On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI. Annual Computer Security Applications Conference. 71–82. 6 indexed citations
11.
Khan, Niaz Ali, et al.. (2023). Evolution of Kotlin Apps in terms of Energy Consumption: An Exploratory Study. VU Research Portal. 46–56. 1 indexed citations
12.
Ponta, Serena Elisa, et al.. (2023). Journey to the Center of Software Supply Chain Attacks. IEEE Security & Privacy. 21(6). 34–49. 2 indexed citations
13.
Plate, Henrik, et al.. (2023). SoK: Taxonomy of Attacks on Open-Source Software Supply Chains. SPIRE - Sciences Po Institutional REpository. 1509–1526. 58 indexed citations
14.
Martínez, Matías, et al.. (2022). A comprehensive study of code-removal patches in automated program repair. Empirical Software Engineering. 27(4). 5 indexed citations
15.
Aleti, Aldeida & Matías Martínez. (2021). E-APR: Mapping the effectiveness of automated program repair techniques. Empirical Software Engineering. 26(5). 10 indexed citations
16.
Martínez, Matías, et al.. (2019). An empirical study on quality of Android applications written in Kotlin language. Empirical Software Engineering. 24(6). 3356–3393. 32 indexed citations
17.
Martínez, Matías & Martin Monperrus. (2017). Open-ended Exploration of the Program Repair Search Space with Mined Templates: the Next 8935 Patches for Defects4J.. arXiv (Cornell University). 2 indexed citations
18.
Martínez, Matías & Sylvain Lecomte. (2017). Discovering discussion topics about development of cross-platform mobile applications using a cross-compiler development framework.. arXiv (Cornell University). 3 indexed citations
19.
Gómez, María E., Matías Martínez, Martin Monperrus, & Romain Rouvoy. (2015). When app stores listen to the crowd to fight bugs in the wild. International Conference on Software Engineering. 2. 567–570. 5 indexed citations
20.
Martínez, Matías, et al.. (2009). Evaluación y simulación del rendimiento de los protocolos de ruteo para MANET bajo restricciones de QoS. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 2 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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