Éric Rivals
Impact in
- Horticulture top 5%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Fractal and DNA sequence analysis
- RNA Research and Splicing
Papers in
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- Algorithms and Data Compression 42
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- Genomics and Phylogenetic Studies 31
- Fractal and DNA sequence analysis 4
- RNA modifications and cancer 4
- Co-authors
- Leena Salmela (4 shared papers)François Nicolas (6 shared papers)Philippe Jarne (2 shared papers)Jean-Paul Delahaye (7 shared papers)Sven Rahmann (4 shared papers)Thérèse Commes (7 shared papers)Nicolas Philippe (6 shared papers)Martin Vingron (3 shared papers)
In The Last Decade
Éric Rivals
93 papers receiving 2.6k citations
Éric Rivals's Hit Papers
Peers
Comparison fields: 5 of 123
- Horticulture 26
- Molecular Biology 1.5k
- Artificial Intelligence 552
- Genetics 405
- Plant Science 443
Countries citing papers authored by Éric Rivals
This map shows the geographic impact of Éric Rivals'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 Éric Rivals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Rivals more than expected).
Fields of papers citing papers by Éric Rivals
This network shows the impact of papers produced by Éric Rivals. 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 Éric Rivals. The network helps show where Éric Rivals may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Rivals, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | LoRDEC: accurate and efficient long read error correction Hit paper breakdown → | 2014 | 549 |
| 2 | 2016 | 210 | |
| 3 | 2021 | 121 | |
| 4 | 1999 | 94 | |
| 5 | 2006 | 87 | |
| 6 | 2004 | 83 | |
| 7 | 2016 | 82 | |
| 8 | 2019 | 73 | |
| 9 | 2017 | 72 | |
| 10 | 2007 | 70 | |
| 11 | 2014 | 70 | |
| 12 | 2017 | 68 | |
| 13 | 2010 | 63 | |
| 14 | 2013 | 59 | |
| 15 | 2014 | 51 | |
| 16 | 2016 | 48 | |
| 17 | 1999 | 47 | |
| 18 | 1997 | 39 | |
| 19 | 2022 | 38 | |
| 20 | 2007 | 36 |
About Éric Rivals
Éric Rivals is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Computational Theory and Mathematics and Plant Science, having authored 98 papers that have together received 2.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (42 papers), Genomics and Phylogenetic Studies (31 papers), Genome Rearrangement Algorithms (10 papers), Chromosomal and Genetic Variations (8 papers), Genetic diversity and population structure (6 papers), semigroups and automata theory (6 papers), Fractal and DNA sequence analysis (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Horticulture (26 citations), Molecular Biology (1.5k citations), Artificial Intelligence (552 citations), Genetics (405 citations) and Plant Science (443 citations). Éric Rivals has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Leena Salmela, François Nicolas, Philippe Jarne, Jean-Paul Delahaye, Sven Rahmann, Thérèse Commes, Nicolas Philippe, Martin Vingron, Claire Toffano‐Nioche and Jean‐Stéphane Varré. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, BMC Bioinformatics, Nature Communications and Journal of Computer and System Sciences.
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.