Aurélien Lemay
Impact in
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- semigroups and automata theory
- Formal Methods in Verification
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- Advanced Database Systems and Queries
Papers in
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- semigroups and automata theory 21
- Complexity and Algorithms in Graphs 1
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- Graph Theory and Algorithms 7
- Co-authors
- Joachim Niehren (14 shared papers)Radu Ciucanu (8 shared papers)Angela Bonifati (8 shared papers)Rémi Gilleron (8 shared papers)Guillaume Bagan (5 shared papers)Sławek Staworko (5 shared papers)George Fletcher (4 shared papers)Marc Tommasi (3 shared papers)
- Journals
- Theoretical Computer Science (3 papers)Lecture notes in computer science (15 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)Information and Computation (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- FranceNetherlandsUnited Kingdom
In The Last Decade
Aurélien Lemay
33 papers receiving 669 citations
Peers
Comparison fields: 5 of 30
- Computational Theory and Mathematics 357
- Computer Networks and Communications 148
- Software 29
- Computer Vision and Pattern Recognition 110
- Artificial Intelligence 143
Countries citing papers authored by Aurélien Lemay
This map shows the geographic impact of Aurélien Lemay'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 Aurélien Lemay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Lemay more than expected).
Fields of papers citing papers by Aurélien Lemay
This network shows the impact of papers produced by Aurélien Lemay. 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 Aurélien Lemay. The network helps show where Aurélien Lemay may publish in the future.
Co-authors
The 13 scholars most cited alongside Aurélien Lemay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 74 | |
| 2 | 2003 | 71 | |
| 3 | 2014 | 65 | |
| 4 | gMark: schema-driven generation of graphs and queries | 2017 | 64 |
| 5 | 2001 | 62 | |
| 6 | 2009 | 38 | |
| 7 | 2006 | 34 | |
| 8 | 2010 | 31 | |
| 9 | 2015 | 28 | |
| 10 | 2000 | 27 | |
| 11 | 2002 | 21 | |
| 12 | 2004 | 16 | |
| 13 | 2009 | 16 | |
| 14 | 2016 | 15 | |
| 15 | 2002 | 14 | |
| 16 | 2009 | 14 | |
| 17 | 2002 | 11 | |
| 18 | 2014 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2001 | 10 |
About Aurélien Lemay
Aurélien Lemay is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 35 papers that have together received 684 indexed citations. Recurring topics across this work include semigroups and automata theory (21 papers), Graph Theory and Algorithms (7 papers), Advanced Database Systems and Queries (6 papers), Semantic Web and Ontologies (4 papers), Web Data Mining and Analysis (3 papers), Data Mining Algorithms and Applications (2 papers), Computational Geometry and Mesh Generation (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Computational Theory and Mathematics (357 citations), Computer Networks and Communications (148 citations), Software (29 citations), Computer Vision and Pattern Recognition (110 citations) and Artificial Intelligence (143 citations). Aurélien Lemay has collaborated with scholars based in France, Netherlands and United Kingdom. Frequent co-authors include Joachim Niehren, Radu Ciucanu, Angela Bonifati, Rémi Gilleron, Guillaume Bagan, Sławek Staworko, George Fletcher, Marc Tommasi, Lingbo Kong and Sebastian Maneth. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, IEEE Transactions on Knowledge and Data Engineering, Information and Computation and Journal of Machine Learning Research.
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.