Éric Tannier

5.3k total citations
72 papers, 2.5k citations indexed

About

Éric Tannier is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Éric Tannier has authored 72 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 49 papers in Genetics and 41 papers in Plant Science. Recurrent topics in Éric Tannier's work include Genomics and Phylogenetic Studies (49 papers), Chromosomal and Genetic Variations (39 papers) and Genome Rearrangement Algorithms (33 papers). Éric Tannier is often cited by papers focused on Genomics and Phylogenetic Studies (49 papers), Chromosomal and Genetic Variations (39 papers) and Genome Rearrangement Algorithms (33 papers). Éric Tannier collaborates with scholars based in France, Canada and United States. Éric Tannier's co-authors include Vincent Daubin, Gergely J. Szöllősi, András Sebö, Bastien Boussau, Cédric Chauve, Manolo Gouy, Sophie S. Abby, Guillaume Fertin, Florent Murat and Claire Lemaitre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Éric Tannier

68 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Éric Tannier France 24 1.7k 1.2k 1.1k 352 304 72 2.5k
Katharina T. Huber United Kingdom 20 858 0.5× 668 0.6× 320 0.3× 153 0.4× 93 0.3× 93 1.5k
Yoshio Sano Japan 33 1.2k 0.7× 1.4k 1.1× 3.0k 2.9× 160 0.5× 74 0.2× 155 4.0k
Olivier Gascuel France 14 1.4k 0.8× 721 0.6× 462 0.4× 33 0.1× 327 1.1× 17 2.2k
Scott Emrich United States 27 2.0k 1.2× 906 0.8× 906 0.9× 163 0.5× 374 1.2× 113 3.7k
Christine Queitsch United States 32 3.5k 2.1× 874 0.7× 2.0k 1.9× 80 0.2× 284 0.9× 76 4.9k
Md. Shamsuzzoha Bayzid Bangladesh 15 1.2k 0.7× 1.0k 0.8× 404 0.4× 58 0.2× 158 0.5× 50 1.9k
Daniel H. Chitwood United States 35 2.0k 1.2× 368 0.3× 3.3k 3.1× 56 0.2× 238 0.8× 79 4.1k
Sagi Snir Israel 21 1.0k 0.6× 614 0.5× 176 0.2× 61 0.2× 366 1.2× 83 1.4k
Éric Rivals France 23 1.8k 1.0× 362 0.3× 531 0.5× 71 0.2× 232 0.8× 78 2.3k
Martin Gardner United Kingdom 16 369 0.2× 241 0.2× 320 0.3× 52 0.1× 95 0.3× 43 1.2k

Countries citing papers authored by Éric Tannier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Éric Tannier

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Tannier. A scholar is included among the top collaborators of Éric Tannier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éric Tannier. Éric Tannier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tannier, Éric. (2025). Towards accurate inference of insect presence landscapes from pheromone sensor networks. SPIRE - Sciences Po Institutional REpository.
2.
Daubin, Vincent, et al.. (2023). Host-symbiont-gene phylogenetic reconciliation. SHILAP Revista de lepidopterología. 3. 2 indexed citations
3.
Käfer, Jos, et al.. (2023). Back to the trees: Identifying plants with Human Intelligence. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
4.
Morel, Benoît, Laurent Guéguen, Bastien Boussau, et al.. (2020). Treerecs: an integrated phylogenetic tool, from sequences to reconciliations. Bioinformatics. 36(18). 4822–4824. 22 indexed citations
5.
Davín, Adrián, et al.. (2019). Zombi: a phylogenetic simulator of trees, genomes and sequences that accounts for dead linages. Bioinformatics. 36(4). 1286–1288. 19 indexed citations
6.
Davín, Adrián, Éric Tannier, Tom A. Williams, et al.. (2018). Gene transfers can date the tree of life. Nature Ecology & Evolution. 2(5). 904–909. 44 indexed citations
7.
Luhmann, Nina, et al.. (2017). Comparative Methods for Reconstructing Ancient Genome Organization. Methods in molecular biology. 1704. 343–362. 8 indexed citations
8.
Jacox, Edwin, Mathias Weller, Éric Tannier, & Céline Scornavacca. (2016). Resolution and reconciliation of non-binary gene trees with transfers, duplications and losses. Bioinformatics. 33(7). 980–987. 4 indexed citations
9.
Lafond, Manuel, Jonathan Séguin, Bastien Boussau, et al.. (2016). Efficient Gene Tree Correction Guided by Genome Evolution. PLoS ONE. 11(8). e0159559–e0159559. 28 indexed citations
10.
Bulteau, Laurent, Guillaume Fertin, & Éric Tannier. (2016). Genome rearrangements with indels in intergenes restrict the scenario space. BMC Bioinformatics. 17(S14). 426–426. 11 indexed citations
11.
Kiss, Sándor Z., et al.. (2014). Counting and sampling SCJ small parsimony solutions. Theoretical Computer Science. 552. 83–98. 4 indexed citations
12.
Boussau, Bastien, Gergely J. Szöllősi, Laurent Duret, et al.. (2012). Genome-scale coestimation of species and gene trees. Genome Research. 23(2). 323–330. 167 indexed citations
13.
Maňuch, Ján, Murray Patterson, Roland Wittler, Cédric Chauve, & Éric Tannier. (2012). Linearization of ancestral multichromosomal genomes. BMC Bioinformatics. 13(S19). S11–S11. 16 indexed citations
14.
Murat, Florent, Jian‐Hong Xu, Éric Tannier, et al.. (2010). Ancestral grass karyotype reconstruction unravels new mechanisms of genome shuffling as a source of plant evolution. Genome Research. 20(11). 1545–1557. 155 indexed citations
15.
Abrouk, Michaël, Florent Murat, Caroline Pont, et al.. (2010). Palaeogenomics of plants: synteny-based modelling of extinct ancestors. Trends in Plant Science. 15(9). 479–487. 81 indexed citations
16.
Lemaitre, Claire, Marie‐France Sagot, Christian Gautier, et al.. (2009). Analysis of fine-scale mammalian evolutionary breakpoints provides new insight into their relation to genome organisation. BMC Genomics. 10(1). 335–335. 45 indexed citations
17.
Lemaitre, Claire, Marília D. V. Braga, Christian Gautier, et al.. (2009). Footprints of Inversions at Present and Past Pseudoautosomal Boundaries in Human Sex Chromosomes. Genome Biology and Evolution. 1. 56–66. 72 indexed citations
18.
Diekmann, Yoan, Marie‐France Sagot, & Éric Tannier. (2007). Evolution under Reversals: Parsimony and Conservation of Common Intervals. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4(2). 301–309. 9 indexed citations
19.
Tannier, Éric, et al.. (2006). Advances on sorting by reversals. Discrete Applied Mathematics. 155(6-7). 881–888. 52 indexed citations
20.
Gravier, Sylvain, Mehdi Mhalla, & Éric Tannier. (2003). On a modular domination game. Theoretical Computer Science. 306(1-3). 291–303. 8 indexed citations

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.

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