David Causeur

972 citations
40 papers · 630 indexed · h-index 16

David Causeur

37 papers receiving 614 citations

Peers

David Causeur
Comparison fields: 5 of 115
  • Animal Science and Zoology 134
  • Statistics and Probability 99
  • Agronomy and Crop Science 69
  • Genetics 181
  • Small Animals 36
Replace Yong-Min Cho with:
Yong-Min Cho South Korea
Tristan Mary‐Huard France
J. Altarriba Spain
Garth Tarr Australia
Tzu‐Ming Chu United States
Nick V. L. Serão United States
Andrew W. George Australia
A. Albera Italy
Lars Gidskehaug Norway
Mitsunori Kayano Japan
David Causeur relative to Yong-Min Cho South Korea Yong-Min Cho's profile →
Citations per field
00.5×10×14.1×
Yong-Min Cho · 1×
Citations per year

Countries citing papers authored by David Causeur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 20212
2 202119
3 202114
4 20215
5 20210
6 201837
7 201775
8 201615
9 201635
10 20165
11 201630
12 20143
13 201216
14 20129
15 20113
16 201016
17 200912
18 200846
19 20042
20 20032

About David Causeur

David Causeur is a scholar working on Statistics and Probability, Management Science and Operations Research 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), Statistical Methods and Bayesian Inference (7 papers), Statistical Methods in Clinical Trials (7 papers), Optimal Experimental Design Methods (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) and Agronomy and Crop Science (69 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, Annie Vincent, Anne Siegel, 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.

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