Thibaut Jombart
- Genetics top 0.05%
- Genetic diversity and population structure 14
- Genetic and phenotypic traits in livestock 12
- Genetic Mapping and Diversity in Plants and Animals 11
- Ecological Modeling top 0.2%
- Nature and Landscape Conservation top 0.2%
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 28
- Ecology top 0.2%
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- Viral Infections and Outbreaks Research 17
- SARS-CoV-2 and COVID-19 Research 8
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- Influenza Virus Research Studies 9
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- Genomics and Phylogenetic Studies 8
- Co-authors
- Sébastien DevillardFrançois BallouxIsmaïl AhmedStéphane DrayDominique PontierSébastien LavergneTamara MünkemüllerWilfried Thuiller
- Partner nations
- United KingdomFranceSwitzerland
In The Last Decade
Thibaut Jombart
86 papers receiving 17.9k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Genetics 8.3k
- Ecological Modeling 1.3k
- Nature and Landscape Conservation 3.1k
- Modeling and Simulation 963
- Ecology 4.9k
Countries citing papers authored by Thibaut Jombart
This map shows the geographic impact of Thibaut Jombart'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 Thibaut Jombart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thibaut Jombart more than expected).
Fields of papers citing papers by Thibaut Jombart
This network shows the impact of papers produced by Thibaut Jombart. 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 Thibaut Jombart. The network helps show where Thibaut Jombart may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thibaut Jombart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 49 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 27 | |
| 11 | 2018 | 49 | |
| 12 | 2016 | 86 | |
| 13 | 2015 | 6 | |
| 14 | 2013 | 24 | |
| 15 | adegenet 1.3-1 : new tools for the analysis of genome-wide SNP databreakdown → | 2011 | 2303 |
| 16 | 2009 | 10 | |
| 17 | 2009 | 236 | |
| 18 | adegenet: a R package for the multivariate analysis of genetic markersbreakdown → | 2008 | 5815 |
| 19 | adegenet: a R package for the multivariate analysis of genetic markers | 2008 | 140 |
| 20 | 2007 | 21 |
About Thibaut Jombart
Thibaut Jombart is a scholar working on Modeling and Simulation, Infectious Diseases and Emergency Medical Services, having authored 88 papers that have together received 18.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (28 papers), Viral Infections and Outbreaks Research (17 papers), Genetic diversity and population structure (14 papers), Genetic and phenotypic traits in livestock (12 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Influenza Virus Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Genetics (8.3k citations), Ecological Modeling (1.3k citations) and Nature and Landscape Conservation (3.1k citations). Thibaut Jombart has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include Sébastien Devillard, François Balloux, Ismaïl Ahmed, Stéphane Dray, Dominique Pontier, Sébastien Lavergne, Tamara Münkemüller, Wilfried Thuiller, Bruno Bzeznik and Katja Schiffers. Their work appears in journals such as Nature, Science and The Lancet.
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.