Benoît Liquet
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Statistical Methods and Inference 31
- Statistical Methods and Bayesian Inference 14
- Advanced Statistical Methods and Models 11
- Statistical Methods in Clinical Trials 6
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- Bayesian Methods and Mixture Models 6
- Data Analysis with R 5
- Co-authors
- Marie Chavent (6 shared papers)Jérôme Saracco (10 shared papers)Vanessa Kuentz-Simonet (2 shared papers)Pierre Lafaye de Micheaux (18 shared papers)Daniel Commenges (9 shared papers)Rodolphe Thiébaut (5 shared papers)Stéphane Abadie (3 shared papers)Denis Morichon (4 shared papers)
In The Last Decade
Benoît Liquet
92 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 180
- Statistics and Probability 263
- Endocrine and Autonomic Systems 56
- Health, Toxicology and Mutagenesis 114
- Oceanography 96
- Sensory Systems 33
Countries citing papers authored by Benoît Liquet
This map shows the geographic impact of Benoît Liquet'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 Benoît Liquet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Liquet more than expected).
Fields of papers citing papers by Benoît Liquet
This network shows the impact of papers produced by Benoît Liquet. 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 Benoît Liquet. The network helps show where Benoît Liquet may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Liquet, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 178 | |
| 2 | 2020 | 125 | |
| 3 | 2013 | 100 | |
| 4 | 2012 | 97 | |
| 5 | 2012 | 82 | |
| 6 | 2014 | 71 | |
| 7 | 2020 | 54 | |
| 8 | 2006 | 52 | |
| 9 | 2016 | 47 | |
| 10 | 2020 | 45 | |
| 11 | 2015 | 39 | |
| 12 | 2007 | 38 | |
| 13 | 2008 | 34 | |
| 14 | 2021 | 32 | |
| 15 | 2017 | 30 | |
| 16 | 2018 | 23 | |
| 17 | 2012 | 23 | |
| 18 | 2021 | 20 | |
| 19 | 2013 | 20 | |
| 20 | 2012 | 19 |
About Benoît Liquet
Benoît Liquet is a scholar working on Statistics and Probability, Artificial Intelligence, Molecular Biology, Nature and Landscape Conservation and Genetics, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (31 papers), Statistical Methods and Bayesian Inference (14 papers), Advanced Statistical Methods and Models (11 papers), Gene expression and cancer classification (7 papers), Bayesian Methods and Mixture Models (6 papers), Statistical Methods in Clinical Trials (6 papers), Genetic Associations and Epidemiology (5 papers) and Data Analysis with R (5 papers). The work is most often cited by research in Statistics and Probability (263 citations), Endocrine and Autonomic Systems (56 citations), Health, Toxicology and Mutagenesis (114 citations), Oceanography (96 citations) and Sensory Systems (33 citations). Benoît Liquet has collaborated with scholars based in France, Australia and Canada. Frequent co-authors include Marie Chavent, Jérôme Saracco, Vanessa Kuentz-Simonet, Pierre Lafaye de Micheaux, Daniel Commenges, Rodolphe Thiébaut, Stéphane Abadie, Denis Morichon, Kerrie Mengersen and Matthias Delpey. Their work appears in journals such as Statistics in Medicine, PLoS ONE, BMC Medical Research Methodology, Applied Ocean Research and Biometrical Journal.
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.