Éric Tannier
Impact in
- Genetics top 1%
- Genome Rearrangement Algorithms
- Genetic diversity and population structure
- Plant Science top 2%
- Chromosomal and Genetic Variations
Papers in
- Genetics 64
- Genome Rearrangement Algorithms 50
- Genetic diversity and population structure 12
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- Chromosomal and Genetic Variations 33
- Co-authors
- Vincent Daubin (19 shared papers)András Sebö (2 shared papers)Gergely J. Szöllősi (11 shared papers)Bastien Boussau (12 shared papers)Cédric Chauve (19 shared papers)Manolo Gouy (4 shared papers)Sophie S. Abby (3 shared papers)Guillaume Fertin (6 shared papers)
- Journals
- Bioinformatics (11 papers)BMC Bioinformatics (9 papers)Genome Biology and Evolution (4 papers)Systematic Biology (4 papers)BMC Genomics (4 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Éric Tannier
89 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 122
- Genetics 1.5k
- Plant Science 1.0k
- Molecular Biology 1.7k
- Computational Theory and Mathematics 387
- Paleontology 99
Countries citing papers authored by Éric Tannier
This map shows the geographic impact of Éric Tannier'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 Tannier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Tannier more than expected).
Fields of papers citing papers by Éric Tannier
This network shows the impact of papers produced by Éric Tannier. 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 Tannier. The network helps show where Éric Tannier may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Tannier, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 356 | |
| 2 | 2009 | 183 | |
| 3 | 2014 | 176 | |
| 4 | 2013 | 154 | |
| 5 | 2020 | 146 | |
| 6 | 2012 | 128 | |
| 7 | 2009 | 118 | |
| 8 | 2012 | 95 | |
| 9 | 2010 | 93 | |
| 10 | 2013 | 85 | |
| 11 | 2008 | 81 | |
| 12 | 2009 | 74 | |
| 13 | 2006 | 73 | |
| 14 | 2015 | 72 | |
| 15 | 2004 | 57 | |
| 16 | 2018 | 52 | |
| 17 | 2012 | 48 | |
| 18 | 2010 | 47 | |
| 19 | 2009 | 45 | |
| 20 | 2015 | 44 |
About Éric Tannier
Éric Tannier is a scholar working on Genetics, Plant Science, Molecular Biology, Artificial Intelligence and Paleontology, having authored 94 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genome Rearrangement Algorithms (50 papers), Genomics and Phylogenetic Studies (46 papers), Chromosomal and Genetic Variations (33 papers), Genetic diversity and population structure (12 papers), Algorithms and Data Compression (12 papers), Evolutionary Algorithms and Applications (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Genetics (1.5k citations), Plant Science (1.0k citations), Molecular Biology (1.7k citations), Computational Theory and Mathematics (387 citations) and Paleontology (99 citations). Éric Tannier has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Vincent Daubin, András Sebö, Gergely J. Szöllősi, Bastien Boussau, Cédric Chauve, Manolo Gouy, Sophie S. Abby, Guillaume Fertin, Chunfang Zheng and David Sankoff. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Genome Biology and Evolution, Systematic Biology and BMC Genomics.
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.