Éric Rivals
Impact in
- Horticulture top 2%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- RNA modifications and cancer
- DNA and Biological Computing
Papers in
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- Genomics and Phylogenetic Studies 37
- DNA and Biological Computing 21
- RNA and protein synthesis mechanisms 17
- RNA Research and Splicing 9
- RNA modifications and cancer 7
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- Algorithms and Data Compression 41
- Co-authors
- Leena Salmela (4 shared papers)Jean-Paul Delahaye (7 shared papers)François Nicolas (6 shared papers)Philippe Jarne (2 shared papers)S. Leclercq (2 shared papers)Max Dauchet (5 shared papers)Sven Rahmann (4 shared papers)Martin Vingron (3 shared papers)
In The Last Decade
Éric Rivals
91 papers receiving 2.6k citations
Éric Rivals's Hit Papers
Peers
Comparison fields: 5 of 126
- Horticulture 56
- Molecular Biology 1.8k
- Artificial Intelligence 555
- Genetics 356
- Plant Science 476
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 96 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 | 544 |
| 2 | 2011 | 264 | |
| 3 | 1999 | 98 | |
| 4 | 2006 | 87 | |
| 5 | 2004 | 84 | |
| 6 | 2002 | 78 | |
| 7 | 2016 | 75 | |
| 8 | 2007 | 74 | |
| 9 | 2014 | 70 | |
| 10 | 2017 | 66 | |
| 11 | 2017 | 65 | |
| 12 | 2019 | 64 | |
| 13 | 2017 | 64 | |
| 14 | 2010 | 59 | |
| 15 | 2013 | 56 | |
| 16 | 2014 | 54 | |
| 17 | 1999 | 48 | |
| 18 | 2016 | 47 | |
| 19 | 1997 | 41 | |
| 20 | 2000 | 38 |
About Éric Rivals
Éric Rivals is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics and Plant Science, having authored 96 papers that have together received 2.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (41 papers), Genomics and Phylogenetic Studies (37 papers), DNA and Biological Computing (21 papers), RNA and protein synthesis mechanisms (17 papers), semigroups and automata theory (10 papers), RNA Research and Splicing (9 papers), Chromosomal and Genetic Variations (8 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Horticulture (56 citations), Molecular Biology (1.8k citations), Artificial Intelligence (555 citations), Genetics (356 citations) and Plant Science (476 citations). Éric Rivals has collaborated with scholars based in France, Germany and Finland. Frequent co-authors include Leena Salmela, Jean-Paul Delahaye, François Nicolas, Philippe Jarne, S. Leclercq, Max Dauchet, Sven Rahmann, Martin Vingron, Thérèse Commes and Slavica Stanojčić. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, BMC Bioinformatics, Journal of Computer and System Sciences and Genome Research.
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.