Mathieu Raffinot
Impact in
- Hardware and Architecture top 2%
- Network Packet Processing and Optimization
- Artificial Intelligence top 2%
- Algorithms and Data Compression
- Natural Language Processing Techniques
Papers in
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- Algorithms and Data Compression 18
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- Genomics and Phylogenetic Studies 10
- DNA and Biological Computing 7
- Co-authors
- Gonzalo Navarro (7 shared papers)Anne Bergeron (4 shared papers)Jean‐Loup Risler (2 shared papers)Fabien de Montgolfier (4 shared papers)Pierre Charbit (3 shared papers)Cyril Allauzen (1 shared paper)Sylvie Corteel (1 shared paper)Alexandra Louis (1 shared paper)
In The Last Decade
Mathieu Raffinot
26 papers receiving 613 citations
Peers
Comparison fields: 5 of 51
- Hardware and Architecture 284
- Artificial Intelligence 479
- Computational Theory and Mathematics 131
- Signal Processing 60
- Computer Networks and Communications 93
Countries citing papers authored by Mathieu Raffinot
This map shows the geographic impact of Mathieu Raffinot'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 Mathieu Raffinot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Raffinot more than expected).
Fields of papers citing papers by Mathieu Raffinot
This network shows the impact of papers produced by Mathieu Raffinot. 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 Mathieu Raffinot. The network helps show where Mathieu Raffinot may publish in the future.
Co-authors
The 21 scholars most cited alongside Mathieu Raffinot, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 184 | |
| 2 | 2002 | 152 | |
| 3 | 2000 | 95 | |
| 4 | 2003 | 43 | |
| 5 | 2003 | 32 | |
| 6 | 2005 | 27 | |
| 7 | 2004 | 21 | |
| 8 | 2004 | 20 | |
| 9 | 2008 | 16 | |
| 10 | 2012 | 12 | |
| 11 | 2001 | 11 | |
| 12 | 2000 | 9 | |
| 13 | 2004 | 7 | |
| 14 | Identifying Common Connected Components of Graphs | 2003 | 6 |
| 15 | 2008 | 5 | |
| 16 | 2002 | 5 | |
| 17 | 2007 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2001 | 3 | |
| 20 | 1999 | 3 |
About Mathieu Raffinot
Mathieu Raffinot is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Hardware and Architecture and Genetics, having authored 28 papers that have together received 667 indexed citations. Recurring topics across this work include Algorithms and Data Compression (18 papers), Genomics and Phylogenetic Studies (10 papers), semigroups and automata theory (9 papers), DNA and Biological Computing (7 papers), Advanced Graph Theory Research (6 papers), Network Packet Processing and Optimization (6 papers), Genome Rearrangement Algorithms (5 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Hardware and Architecture (284 citations), Artificial Intelligence (479 citations), Computational Theory and Mathematics (131 citations), Signal Processing (60 citations) and Computer Networks and Communications (93 citations). Mathieu Raffinot has collaborated with scholars based in France, Chile and Canada. Frequent co-authors include Gonzalo Navarro, Anne Bergeron, Jean‐Loup Risler, Fabien de Montgolfier, Pierre Charbit, Cyril Allauzen, Sylvie Corteel, Alexandra Louis, Sophie Pasek and Marie-Pierre Béal. Their work appears in journals such as Journal of Computational Biology, Theoretical Computer Science, Discrete Applied Mathematics, SIAM Journal on Discrete Mathematics and Algorithmica.
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.