Mathilde Bouvel
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- Advanced Combinatorial Mathematics 17
- Limits and Structures in Graph Theory 2
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- Advanced Mathematical Identities 4
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- semigroups and automata theory 14
- Statistics and Probability top 10%
- Random Matrices and Applications 3
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- Algorithms and Data Compression 11
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- Genome Rearrangement Algorithms 6
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- graph theory and CDMA systems 2
- Co-authors
- Valentin FérayFrédérique BassinoSimone RinaldiMichael H. AlbertNik RuškucM. D. AtkinsonVincent VatterElisa Pergola
- Journals
- Discrete Mathematics & Theoretical Computer Science (4 papers)Theoretical Computer Science (3 papers)The Electronic Journal of Combinatorics (3 papers)
- Partner nations
- FranceSwitzerlandCanada
In The Last Decade
Mathilde Bouvel
23 papers receiving 140 citations
Peers
Comparison fields: 5 of 20
- Discrete Mathematics and Combinatorics 97
- Algebra and Number Theory 26
- Mathematical Physics 35
- Computational Theory and Mathematics 59
- Statistics and Probability 29
Countries citing papers authored by Mathilde Bouvel
This map shows the geographic impact of Mathilde Bouvel'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 Mathilde Bouvel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Bouvel more than expected).
Fields of papers citing papers by Mathilde Bouvel
This network shows the impact of papers produced by Mathilde Bouvel. 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 Mathilde Bouvel. The network helps show where Mathilde Bouvel may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Mathilde Bouvel, 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 | 2025 | 0 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 1 | |
| 10 | 2019 | 18 | |
| 11 | 2015 | 3 | |
| 12 | 2015 | 4 | |
| 13 | 2014 | 5 | |
| 14 | 2014 | 7 | |
| 15 | 2013 | 18 | |
| 16 | 2012 | 2 | |
| 17 | 2011 | 3 | |
| 18 | 2011 | 10 | |
| 19 | 2010 | 7 | |
| 20 | 2008 | 12 |
About Mathilde Bouvel
Mathilde Bouvel is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Algebra and Number Theory, Statistics and Probability and Artificial Intelligence, having authored 24 papers that have together received 149 indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (17 papers), semigroups and automata theory (14 papers), Algorithms and Data Compression (11 papers), Genome Rearrangement Algorithms (6 papers), Advanced Mathematical Identities (4 papers), Random Matrices and Applications (3 papers), graph theory and CDMA systems (2 papers) and Limits and Structures in Graph Theory (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (97 citations), Algebra and Number Theory (26 citations), Mathematical Physics (35 citations), Computational Theory and Mathematics (59 citations) and Statistics and Probability (29 citations). Mathilde Bouvel has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Valentin Féray, Frédérique Bassino, Simone Rinaldi, Michael H. Albert, Nik Ruškuc, M. D. Atkinson, Vincent Vatter, Elisa Pergola, Michael Albert and Luca Ferrari. Their work appears in journals such as Discrete Mathematics & Theoretical Computer Science, Theoretical Computer Science, The Electronic Journal of Combinatorics, Advances in Applied Mathematics and Annals of Combinatorics.
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.