Thomas Degueule

573 total citations
11 papers, 129 citations indexed

About

Thomas Degueule is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Thomas Degueule has authored 11 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Software and 4 papers in Artificial Intelligence. Recurrent topics in Thomas Degueule's work include Software Engineering Research (8 papers), Model-Driven Software Engineering Techniques (5 papers) and Advanced Software Engineering Methodologies (4 papers). Thomas Degueule is often cited by papers focused on Software Engineering Research (8 papers), Model-Driven Software Engineering Techniques (5 papers) and Advanced Software Engineering Methodologies (4 papers). Thomas Degueule collaborates with scholars based in France, Netherlands and Italy. Thomas Degueule's co-authors include Benoît Combemale, Benoît Baudry, José Á. Galindo, Jean‐Rémy Falleri, Jurgen Vinju, Lina Ochoa, Olivier Barais, Jean‐Marc Jezéquél, Anne Etien and Jean‐Marie Mottu and has published in prestigious journals such as Empirical Software Engineering, Software & Systems Modeling and Software Testing Verification and Reliability.

In The Last Decade

Thomas Degueule

8 papers receiving 126 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Degueule France 6 93 87 74 26 7 11 129
Hugo Pacheco Portugal 8 63 0.7× 69 0.8× 69 0.9× 36 1.4× 11 1.6× 20 128
Houari Sahraoui Canada 4 44 0.5× 100 1.1× 69 0.9× 34 1.3× 4 0.6× 6 134
Steven Völkel Germany 5 124 1.3× 91 1.0× 110 1.5× 22 0.8× 11 1.6× 6 153
James Koppel United States 4 142 1.5× 142 1.6× 57 0.8× 30 1.2× 11 1.6× 9 210
Elnar Hajiyev United Kingdom 5 50 0.5× 104 1.2× 81 1.1× 28 1.1× 11 1.6× 8 127
Holger Krahn Germany 7 129 1.4× 94 1.1× 110 1.5× 23 0.9× 14 2.0× 10 162
Daoguang Zan China 6 66 0.7× 95 1.1× 117 1.6× 22 0.8× 4 0.6× 11 202
Konstantin Schekotihin Austria 7 31 0.3× 27 0.3× 86 1.2× 26 1.0× 8 1.1× 32 147
Vijayaraghavan Murali United States 10 123 1.3× 162 1.9× 79 1.1× 34 1.3× 14 2.0× 19 221
I. S. W. B. Prasetya Netherlands 7 86 0.9× 62 0.7× 39 0.5× 23 0.9× 11 1.6× 46 133

Countries citing papers authored by Thomas Degueule

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Degueule

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Degueule

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

All Works

11 of 11 papers shown
1.
Degueule, Thomas, et al.. (2025). Automatic Classification of Software Repositories: a Systematic Mapping Study. SPIRE - Sciences Po Institutional REpository. 102–113.
2.
Degueule, Thomas, et al.. (2025). ROSEAU: Fast, Accurate, Source-Based API Breaking Change Analysis in Java. TU/e Research Portal. 517–528.
3.
Poizat, Pascal, et al.. (2024). Balancing the Quality and Cost of Updating Dependencies. SPIRE - Sciences Po Institutional REpository. 1834–1845. 1 indexed citations
4.
Degueule, Thomas, et al.. (2023). MLinter: Learning Coding Practices from Examples—Dream or Reality?. SPIRE - Sciences Po Institutional REpository. 795–804. 1 indexed citations
5.
Ochoa, Lina, Thomas Degueule, Jean‐Rémy Falleri, & Jurgen Vinju. (2022). Breaking bad? Semantic versioning and impact of breaking changes in Maven Central. Empirical Software Engineering. 27(3). 23 indexed citations
6.
Ochoa, Lina, Thomas Degueule, & Jean‐Rémy Falleri. (2022). BreakBot: Analyzing the Impact of Breaking Changes to Assist Library Evolution. TU/e Research Portal. 26–30.
7.
Degueule, Thomas, et al.. (2019). The Software Language Extension Problem. Software & Systems Modeling. 19(2). 263–267. 6 indexed citations
8.
Combemale, Benoît, Jörg Kienzle, Gunter Mussbacher, et al.. (2018). Concern-oriented language development (COLD): Fostering reuse in language engineering. Computer Languages Systems & Structures. 54. 139–155. 24 indexed citations
9.
Galindo, José Á., et al.. (2016). Leveraging Software Product Lines Engineering in the development of external DSLs: A systematic literature review. Computer Languages Systems & Structures. 46. 206–235. 43 indexed citations
10.
Degueule, Thomas, Benoît Combemale, Arnaud Blouin, Olivier Barais, & Jean‐Marc Jezéquél. (2016). Safe model polymorphism for flexible modeling. Computer Languages Systems & Structures. 49. 176–195. 12 indexed citations
11.
Mottu, Jean‐Marie, et al.. (2014). Towards an automation of the mutation analysis dedicated to model transformation. Software Testing Verification and Reliability. 25(5-7). 653–683. 19 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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