Bruno Lecoutre

773 citations
47 papers · 462 indexed · h-index 11

Bruno Lecoutre

43 papers receiving 417 citations

Peers

Bruno Lecoutre
Comparison fields: 5 of 103
  • Statistics and Probability 255
  • Statistics, Probability and Uncertainty 90
  • General Decision Sciences 19
  • Management Science and Operations Research 89
  • History and Philosophy of Science 15
Replace Jacques Poitevineau with:
Jacques Poitevineau France
Robert F. Fagot United States
J Perezgonzalez New Zealand
Emir H. Shuford United States
Olav Laudy Netherlands
Georg Bruckmaier Switzerland
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Citations per field
00.5×4.9×
Jacques Poitevineau · 1×
Citations per year

Countries citing papers authored by Bruno Lecoutre

Since Specialization
Citations

This map shows the geographic impact of Bruno Lecoutre'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 Bruno Lecoutre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Lecoutre more than expected).

Fields of papers citing papers by Bruno Lecoutre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Lecoutre. 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 Bruno Lecoutre. The network helps show where Bruno Lecoutre may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Bruno Lecoutre, 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 Bruno Lecoutre Line = papers co-authored together Bruno Lecoutre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20101
2 20102
3 201014
4
Intervalles de confiance et de crédibilité pour le rapport de taux d'évènements rares
20092
5 20076
6 200710
7 20062
8
A reason why not to ban Null Hypothesis Signiflcance Tests
20053
9
Une raison pour ne pas abandonner les tests de signiflcation de l'hypothµese nulle
20051
10
Former les Etudiants et les Chercheurs aux Méthodes Bayésiennes pour l'Analyse des Données Expérimentales.
20050
11 200210
12 200126
13 20001
14 200015
15
Et si vous étiez un bayésien qui s'ignore ?
19972
16
Probabilités prédictives : un outil pour la planification des expériences
19961
17 199530
18 19886
19
L'analyse bayésienne des comparaisons
198410
20 19831

About Bruno Lecoutre

Bruno Lecoutre is a scholar working on Statistics and Probability, General Decision Sciences and Management Science and Operations Research, having authored 47 papers that have together received 462 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (15 papers), Optimal Experimental Design Methods (11 papers), Statistical Methods and Bayesian Inference (8 papers), Advanced Statistical Methods and Models (8 papers), Statistics Education and Methodologies (8 papers), Statistical Methods and Inference (5 papers), Advanced Statistical Process Monitoring (4 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (255 citations), Statistics, Probability and Uncertainty (90 citations) and General Decision Sciences (19 citations). Bruno Lecoutre has collaborated with scholars based in France and Mexico. Frequent co-authors include Jacques Poitevineau, Marie‐Paule Lecoutre, Henry Rouanet, Jean‐Marie Grouin, Pierre Bunouf, Camilo Charron, Jean‐Marc Bernard, Guy Denhière and Jacques Honoré. Their work appears in journals such as Statistics in Medicine, Experimental Neurology and Psychological Methods.

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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