David Causeur
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
Papers in
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- Gene expression and cancer classification 10
- Bioinformatics and Genomic Networks 4
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- Statistical Methods and Bayesian Inference 7
- Statistical Methods in Clinical Trials 7
- Statistical Methods and Inference 5
- Advanced Statistical Methods and Models 4
- Co-authors
- Chloé Friguet (5 shared papers)Maëla Kloareg (4 shared papers)Sandrine Lagarrigue (6 shared papers)Roman Hornung (2 shared papers)Anne‐Laure Boulesteix (2 shared papers)Florence Gondret (3 shared papers)Anne Siegel (2 shared papers)Annie Vincent (2 shared papers)
In The Last Decade
David Causeur
37 papers receiving 614 citations
Peers
Comparison fields: 5 of 115
- Animal Science and Zoology 134
- Statistics and Probability 99
- Agronomy and Crop Science 69
- Genetics 181
- Small Animals 36
Countries citing papers authored by David Causeur
This map shows the geographic impact of David Causeur'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 David Causeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Causeur more than expected).
Fields of papers citing papers by David Causeur
This network shows the impact of papers produced by David Causeur. 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 David Causeur. The network helps show where David Causeur may publish in the future.
Co-authors
The 25 scholars most cited alongside David Causeur, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 94 | |
| 2 | 2017 | 75 | |
| 3 | 2008 | 46 | |
| 4 | 2018 | 37 | |
| 5 | 2016 | 35 | |
| 6 | 2016 | 30 | |
| 7 | 2010 | 26 | |
| 8 | 2014 | 22 | |
| 9 | 2016 | 22 | |
| 10 | Prédiction de la composition chimique des truies reproductrices à partir du poids vif et de l'épaisseur de lard dorsal Application à la définition des besoins énergétiques | 1997 | 20 |
| 11 | 2021 | 19 | |
| 12 | 2012 | 16 | |
| 13 | 2010 | 16 | |
| 14 | 2015 | 16 | |
| 15 | 2016 | 15 | |
| 16 | 2004 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2009 | 12 | |
| 19 | 2011 | 11 | |
| 20 | 2011 | 11 |
About David Causeur
David Causeur is a scholar working on Molecular Biology, Statistics and Probability, Management Science and Operations Research, Genetics and Animal Science and Zoology, having authored 40 papers that have together received 630 indexed citations. Recurring topics across this work include Gene expression and cancer classification (10 papers), Optimal Experimental Design Methods (7 papers), Statistical Methods and Bayesian Inference (7 papers), Statistical Methods in Clinical Trials (7 papers), Statistical Methods and Inference (5 papers), Genetic and phenotypic traits in livestock (4 papers), Advanced Statistical Methods and Models (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Animal Science and Zoology (134 citations), Statistics and Probability (99 citations), Agronomy and Crop Science (69 citations), Genetics (181 citations) and Small Animals (36 citations). David Causeur has collaborated with scholars based in France, Morocco and Taiwan. Frequent co-authors include Chloé Friguet, Maëla Kloareg, Sandrine Lagarrigue, Roman Hornung, Anne‐Laure Boulesteix, Florence Gondret, Anne Siegel, Annie Vincent, Yuna Blum and Julien Jardin. Their work appears in journals such as BMC Genomics, Food Research International, BMC Bioinformatics, Journal of Multivariate Analysis and Computational Statistics & Data Analysis.
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.