Marie-Pierre Béal
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 10%
- Molecular Biology
- Mathematical Physics top 10%
- Computer Networks and Communications
- Co-authors
- Olivier CartonDominique PerrinChristophe PrieurJacques SakarovitchAntonio RestivoFilippo MignosiAnne BergeronMathieu Raffinot
- Topics
- semigroups and automata theory (32 papers)Cellular Automata and Applications (26 papers)Algorithms and Data Compression (11 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Marie-Pierre Béal
40 papers receiving 257 citations
Peers
Comparison fields: 5 of 25
- Computational Theory and Mathematics 219
- Artificial Intelligence 134
- Molecular Biology 104
- Mathematical Physics 62
- Computer Networks and Communications 21
Countries citing papers authored by Marie-Pierre Béal
This map shows the geographic impact of Marie-Pierre Béal'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 Marie-Pierre Béal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie-Pierre Béal more than expected).
Fields of papers citing papers by Marie-Pierre Béal
This network shows the impact of papers produced by Marie-Pierre Béal. 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 Marie-Pierre Béal. The network helps show where Marie-Pierre Béal may publish in the future.
Co-authorship network of co-authors of Marie-Pierre Béal
This figure shows the co-authorship network connecting the top 25 collaborators of Marie-Pierre Béal. A scholar is included among the top collaborators of Marie-Pierre Béal 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 Marie-Pierre Béal. Marie-Pierre Béal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 28 | |
| 16 | 2 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | Squaring transducers: An efficient procedure for deciding functionality and sequentiality | 1 |
| 20 | 5 |
About Marie-Pierre Béal
Marie-Pierre Béal is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Artificial Intelligence, having authored 41 papers that have together received 268 indexed citations. Recurring topics across this work include semigroups and automata theory (32 papers), Cellular Automata and Applications (26 papers) and Algorithms and Data Compression (11 papers). The work is most often cited by research in Computational Theory and Mathematics (219 citations), Mathematical Physics (62 citations) and Artificial Intelligence (134 citations). Marie-Pierre Béal has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Olivier Carton, Dominique Perrin, Christophe Prieur, Jacques Sakarovitch, Antonio Restivo, Filippo Mignosi, Anne Bergeron, Mathieu Raffinot, Sylvie Corteel and Jean Sénellart. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the ACM and SIAM Journal on Computing.
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.