Aurélien Lemay
Impact in
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- semigroups and automata theory
- Formal Methods in Verification
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- Machine Learning and Algorithms
- Algorithms and Data Compression
- Natural Language Processing Techniques
- Logic, programming, and type systems
Papers in
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- Machine Learning and Algorithms 8
- Algorithms and Data Compression 5
- Semantic Web and Ontologies 2
- Natural Language Processing Techniques 2
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- semigroups and automata theory 5
- Co-authors
- François Denis (3 shared papers)Joachim Niehren (4 shared papers)Rémi Gilleron (3 shared papers)Sebastian Maneth (1 shared paper)Angela Bonifati (3 shared papers)Radu Ciucanu (3 shared papers)George Fletcher (2 shared papers)Michel Latteux (1 shared paper)
- Journals
- Theoretical Computer Science (3 papers)Journal of Machine Learning Research (1 paper)Information and Computation (1 paper)Machine Learning (1 paper)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- FranceNetherlandsAustralia
In The Last Decade
Aurélien Lemay
10 papers receiving 90 citations
Peers
Comparison fields: 5 of 16
- Computational Theory and Mathematics 56
- Artificial Intelligence 80
- Software 7
- Information Systems 20
- Computer Networks and Communications 14
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 10 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 40 | |
| 2 | 2010 | 14 | |
| 3 | 2006 | 13 | |
| 4 | 2009 | 9 | |
| 5 | 2016 | 8 | |
| 6 | 2002 | 5 | |
| 7 | 2006 | 2 | |
| 8 | Controlling Diversity in Benchmarking Graph Databases | 2015 | 1 |
| 9 | 2013 | 1 | |
| 10 | Learning Probabilistic Residual Finite Automata | 2002 | 1 |
| 11 | Query induction with schema-guided pruning strategies | 2013 | 0 |
| 12 | 2017 | 0 |
About Aurélien Lemay
Aurélien Lemay is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 12 papers that have together received 94 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (8 papers), Algorithms and Data Compression (5 papers), semigroups and automata theory (5 papers), Graph Theory and Algorithms (3 papers), Advanced Database Systems and Queries (3 papers), Semantic Web and Ontologies (2 papers), Natural Language Processing Techniques (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Computational Theory and Mathematics (56 citations), Artificial Intelligence (80 citations), Software (7 citations), Information Systems (20 citations) and Computer Networks and Communications (14 citations). Aurélien Lemay has collaborated with scholars based in France, Netherlands and Australia. Frequent co-authors include François Denis, Joachim Niehren, Rémi Gilleron, Sebastian Maneth, Angela Bonifati, Radu Ciucanu, George Fletcher, Michel Latteux, Joachim Niehren and Pierre Dupont. Their work appears in journals such as Theoretical Computer Science, Journal of Machine Learning Research, Information and Computation, Machine Learning and Proceedings of the VLDB Endowment.
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.