Éric Tannier

5.3k citations
72 papers · 2.5k indexed · h-index 24

Impact in

  • Genetics top 1%
    • Genome Rearrangement Algorithms
    • Genetic diversity and population structure
    • Chromosomal and Genetic Variations

Papers in

    • Genomics and Phylogenetic Studies 49
    • Genetics, Bioinformatics, and Biomedical Research 3
    • Gene expression and cancer classification 3
    • Genome Rearrangement Algorithms 33
    • Genetic diversity and population structure 15

Éric Tannier

68 papers receiving 2.5k citations

Peers

Éric Tannier
Comparison fields: 5 of 120
  • Genetics 1.2k
  • Plant Science 1.1k
  • Molecular Biology 1.7k
  • Computational Theory and Mathematics 352
  • Paleontology 110
Replace Katharina T. Huber with:
Katharina T. Huber United Kingdom
Céline Scornavacca France
Casey Bergman United Kingdom
Christine Queitsch United States
Scott Emrich United States
Yoshio Sano Japan
Olivier Gascuel France
Md. Shamsuzzoha Bayzid Bangladesh
Adrian Altenhoff Switzerland
Daniel H. Chitwood United States
Éric Tannier relative to Katharina T. Huber United Kingdom Katharina T. Huber's profile →
Citations per field
00.5×3.3×
Katharina T. Huber · 1×
Citations per year

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-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.

Border = papers with Éric Tannier Line = papers co-authored together Éric Tannier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004327
2 2012167
3 2014159
4 2010155
5 2013139
6 2009129
7 2012115
8 200983
9 201282
10 201081
11 201376
12 200972
13 201566
14 200858
15 200652
16 200945
17 201844
18 201043
19 201540
20 201239

About Éric Tannier

Éric Tannier is a scholar working on Molecular Biology, Genetics, Plant Science, Artificial Intelligence and Ecology, Evolution, Behavior and Systematics, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (49 papers), Chromosomal and Genetic Variations (39 papers), Genome Rearrangement Algorithms (33 papers), Genetic diversity and population structure (15 papers), Algorithms and Data Compression (6 papers), Microbial Community Ecology and Physiology (4 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 (1.2k citations), Plant Science (1.1k citations), Molecular Biology (1.7k citations), Computational Theory and Mathematics (352 citations) and Paleontology (110 citations). Éric Tannier has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Vincent Daubin, Gergely J. Szöllősi, András Sebö, Bastien Boussau, Cédric Chauve, Manolo Gouy, Sophie S. Abby, Florent Murat, Guillaume Fertin and Marie‐France Sagot. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Genome Biology and Evolution, BMC Genomics and Theoretical Computer Science.

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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