Mathilde Noual
Impact in
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- Cellular Automata and Applications
- Formal Methods in Verification
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- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- DNA and Biological Computing
- Receptor Mechanisms and Signaling
Papers in
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- Gene Regulatory Network Analysis 12
- DNA and Biological Computing 3
- Bioinformatics and Genomic Networks 2
- Receptor Mechanisms and Signaling 2
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- Cellular Automata and Applications 7
- Formal Methods in Verification 3
- Co-authors
- Sylvain Sené (9 shared papers)Jacques Demongeot (6 shared papers)Eric Goles (3 shared papers)Michel Morvan (1 shared paper)Julio Aracena (2 shared papers)Éric Fanchon (1 shared paper)Pierre Gillois (1 shared paper)Éric Thierry (1 shared paper)
In The Last Decade
Mathilde Noual
16 papers receiving 247 citations
Peers
Comparison fields: 5 of 42
- Computational Theory and Mathematics 82
- Molecular Biology 191
- Genetics 40
- Experimental and Cognitive Psychology 12
- Computer Networks and Communications 21
Countries citing papers authored by Mathilde Noual
This map shows the geographic impact of Mathilde Noual'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 Noual with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Noual more than expected).
Fields of papers citing papers by Mathilde Noual
This network shows the impact of papers produced by Mathilde Noual. 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 Noual. The network helps show where Mathilde Noual may publish in the future.
Co-authors
The 15 scholars most cited alongside Mathilde Noual, 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 | 2010 | 47 | |
| 2 | 2012 | 30 | |
| 3 | 2011 | 26 | |
| 4 | 2010 | 23 | |
| 5 | 2012 | 23 | |
| 6 | 2009 | 22 | |
| 7 | 2013 | 18 | |
| 8 | 2012 | 16 | |
| 9 | 2010 | 12 | |
| 10 | 2017 | 9 | |
| 11 | 2013 | 9 | |
| 12 | 2012 | 6 | |
| 13 | 2015 | 4 | |
| 14 | Block-sequential update schedules and Boolean automata circuits | 2013 | 3 |
| 15 | 2012 | 3 | |
| 16 | 2022 | 1 |
About Mathilde Noual
Mathilde Noual is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Plant Science and Computer Networks and Communications, having authored 16 papers that have together received 252 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Cellular Automata and Applications (7 papers), Formal Methods in Verification (3 papers), DNA and Biological Computing (3 papers), Plant Molecular Biology Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Receptor Mechanisms and Signaling (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Computational Theory and Mathematics (82 citations), Molecular Biology (191 citations), Genetics (40 citations), Experimental and Cognitive Psychology (12 citations) and Computer Networks and Communications (21 citations). Mathilde Noual has collaborated with scholars based in France, Chile and Germany. Frequent co-authors include Sylvain Sené, Jacques Demongeot, Eric Goles, Michel Morvan, Julio Aracena, Éric Fanchon, Pierre Gillois, Éric Thierry, Adrien Richard and Jean‐Paul Comet. Their work appears in journals such as Discrete Applied Mathematics, Theoretical Computer Science, Bulletin of Mathematical Biology, Discrete Mathematics & Theoretical Computer Science and Journal of Theoretical Biology.
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.