Yann‐Gaël Guéhéneuc

9.9k citations
222 papers · 6.6k indexed · 3 hit papers · h-index 40

Yann‐Gaël Guéhéneuc

212 papers receiving 6.3k citations

Hit Papers

An exploratory study of the impact of antipatterns on cla...2862007202620132019100200300400500

Peers

Yann‐Gaël Guéhéneuc
Comparison fields: 5 of 124
  • Software 3.4k
  • Information Systems 5.8k
  • Computer Science Applications 676
  • Signal Processing 1.0k
  • Computer Networks and Communications 1.8k
Replace Bashar Nuseibeh with:
Bashar Nuseibeh United Kingdom
Thomas Ball United States
Hausi Müller Canada
Rocco Oliveto Italy
James M. Bieman United States
Emad Shihab Canada
Abram Hindle Canada
Adele Goldberg United States
Li Li China
Wei‐Tek Tsai United States
Yann‐Gaël Guéhéneuc relative to Bashar Nuseibeh United Kingdom Bashar Nuseibeh's profile →
Citations per field
00.5×2.7×
Bashar Nuseibeh · 1×
Citations per year

Countries citing papers authored by Yann‐Gaël Guéhéneuc

Since Specialization
Citations

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

Fields of papers citing papers by Yann‐Gaël Guéhéneuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yann‐Gaël Guéhéneuc. 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 Yann‐Gaël Guéhéneuc. The network helps show where Yann‐Gaël Guéhéneuc may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yann‐Gaël Guéhéneuc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yann‐Gaël Guéhéneuc Line = papers co-authored together Yann‐Gaël Guéhéneuc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20241
5 20240
6 20231
7 202126
8 20197
9 20193
10 20189
11 20175
12 20164
13 20159
14 201287
15 201237
16 201021
17 2009176
18
Code siblings: Phenotype evolution
20092
19 2009220
20
Une taxonomie et un métamodèle pour la détection des défauts de conception.
20064

About Yann‐Gaël Guéhéneuc

Yann‐Gaël Guéhéneuc is a scholar working on Software, Information Systems and Computer Science Applications, having authored 222 papers that have together received 6.6k indexed citations. Recurring topics across this work include Software Engineering Research (163 papers), Advanced Software Engineering Methodologies (72 papers), Software Reliability and Analysis Research (70 papers), Software System Performance and Reliability (50 papers), Software Engineering Techniques and Practices (36 papers), Software Testing and Debugging Techniques (35 papers), Advanced Malware Detection Techniques (24 papers) and Open Source Software Innovations (22 papers). The work is most often cited by research in Software (3.4k citations), Information Systems (5.8k citations) and Computer Science Applications (676 citations). Yann‐Gaël Guéhéneuc has collaborated with scholars based in Canada, Italy and France. Frequent co-authors include Giuliano Antoniol, Foutse Khomh, Massimiliano Di Penta, Naouel Moha, Laurence Duchien, Zohreh Sharafi, Houari Sahraoui, Denys Poshyvanyk, Stéphane Vaucher and Václav Rajlich. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Software Engineering.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026