Bruno Lecoutre

773 total citations
47 papers, 462 citations indexed

About

Bruno Lecoutre is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Bruno Lecoutre has authored 47 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. Recurrent topics in Bruno Lecoutre's work include Statistical Methods in Clinical Trials (15 papers), Optimal Experimental Design Methods (11 papers) and Statistical Methods and Bayesian Inference (8 papers). Bruno Lecoutre is often cited by papers focused on Statistical Methods in Clinical Trials (15 papers), Optimal Experimental Design Methods (11 papers) and Statistical Methods and Bayesian Inference (8 papers). Bruno Lecoutre collaborates with scholars based in France and Mexico. Bruno Lecoutre's 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 and has published in prestigious journals such as Statistics in Medicine, Experimental Neurology and Psychological Methods.

In The Last Decade

Bruno Lecoutre

43 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bruno Lecoutre France 11 255 90 89 71 33 47 462
Jacques Poitevineau France 11 93 0.4× 59 0.7× 18 0.2× 42 0.6× 13 0.4× 25 345
Olav Laudy Netherlands 6 159 0.6× 13 0.1× 50 0.6× 73 1.0× 15 0.5× 13 286
Janice A. Gifford United States 7 181 0.7× 23 0.3× 258 2.9× 30 0.4× 19 0.6× 9 406
J Perezgonzalez New Zealand 8 45 0.2× 55 0.6× 35 0.4× 32 0.5× 14 0.4× 31 259
Emir H. Shuford United States 12 70 0.3× 26 0.3× 111 1.2× 111 1.6× 27 0.8× 22 575
Dale Bowman United States 9 158 0.6× 15 0.2× 55 0.6× 78 1.1× 9 0.3× 25 304
Robert F. Fagot United States 10 55 0.2× 36 0.4× 32 0.4× 29 0.4× 33 1.0× 27 346
J. W. Holley Sweden 9 65 0.3× 69 0.8× 91 1.0× 19 0.3× 6 0.2× 21 342
Won‐Chan Lee United States 12 145 0.6× 71 0.8× 271 3.0× 38 0.5× 5 0.2× 48 449
Deborah J. Harris United States 13 99 0.4× 34 0.4× 265 3.0× 38 0.5× 5 0.2× 41 430

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 of co-authors of Bruno Lecoutre

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Lecoutre. A scholar is included among the top collaborators of Bruno Lecoutre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bruno Lecoutre. Bruno Lecoutre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bunouf, Pierre & Bruno Lecoutre. (2010). An Objective Bayesian Approach to Multistage Hypothesis Testing. Sequential Analysis. 29(1). 88–101. 1 indexed citations
2.
Lecoutre, Bruno, Marie‐Paule Lecoutre, & Jacques Poitevineau. (2010). Killeen's probability of replication and predictive probabilities: How to compute, use, and interpret them.. Psychological Methods. 15(2). 158–171. 14 indexed citations
3.
Lecoutre, Bruno, et al.. (2009). Intervalles de confiance et de crédibilité pour le rapport de taux d'évènements rares. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
4.
Poitevineau, Jacques & Bruno Lecoutre. (2008). Implementing Bayesian predictive procedures: The K-prime and K-square distributions. Computational Statistics & Data Analysis. 54(3). 724–731. 3 indexed citations
5.
Lecoutre, Bruno. (2007). Another Look at the Confidence Intervals for the Noncentral T Distribution. Journal of Modern Applied Statistical Methods. 6(1). 107–116. 6 indexed citations
6.
Lecoutre, Bruno. (2006). And if you were a Bayesian without knowing it?. AIP conference proceedings. 872. 15–22. 2 indexed citations
7.
Lecoutre, Bruno, et al.. (2006). A note on new confidence intervals for the difference between two proportions based on an Edgeworth expansion. Journal of Statistical Planning and Inference. 137(1). 355–356. 5 indexed citations
8.
Lecoutre, Bruno, Jacques Poitevineau, & Marie‐Paule Lecoutre. (2005). Une raison pour ne pas abandonner les tests de signiflcation de l'hypothµese nulle. 33. 243–248. 1 indexed citations
9.
Lecoutre, Bruno. (2005). Former les Etudiants et les Chercheurs aux Méthodes Bayésiennes pour l'Analyse des Données Expérimentales.. 33. 85–107.
10.
Lecoutre, Bruno, Jacques Poitevineau, & Marie‐Paule Lecoutre. (2005). A reason why not to ban Null Hypothesis Signiflcance Tests. 33. 249–253. 3 indexed citations
11.
Lecoutre, Marie‐Paule, et al.. (2004). Failure to Construct and Transfer Correct Representations across Probability Problems. Psychological Reports. 94(1). 151–162. 5 indexed citations
12.
Lecoutre, Bruno, et al.. (2002). Assessment and monitoring in clinical trials when survival curves have distinct shapes: a Bayesian approach with Weibull modelling. Statistics in Medicine. 21(5). 663–674. 10 indexed citations
13.
Lecoutre, Bruno & Jacques Poitevineau. (2000). Aller au-delà des tests de signification traditionnels : vers de nouvelles normes de publication. L’Année psychologique. 100(4). 683–713. 15 indexed citations
14.
Lecoutre, Bruno & Camilo Charron. (2000). Bayesian Procedures for Prediction Analysis of Implication Hypotheses in 2 × 2 Contingency Tables. Journal of Educational and Behavioral Statistics. 25(2). 185–185. 1 indexed citations
15.
Lecoutre, Bruno. (1997). Et si vous étiez un bayésien qui s'ignore ?. 18. 81–87. 2 indexed citations
16.
Grouin, Jean‐Marie & Bruno Lecoutre. (1996). Probabilités prédictives : un outil pour la planification des expériences. French digital mathematics library (Numdam). 44(1). 21–35. 1 indexed citations
17.
Honoré, Jacques, et al.. (1988). Orientation of attention and sensory gating: An evoked potential and reaction time study in cat. Experimental Neurology. 100(2). 274–287. 6 indexed citations
18.
Lecoutre, Bruno. (1984). L'analyse bayésienne des comparaisons. 10 indexed citations
19.
Denhière, Guy & Bruno Lecoutre. (1983). Mémorisation de récits : reconnaissance immédiate et différée d'énoncés par des enfants de 7, 8 et 10 ans. L’Année psychologique. 83(2). 345–376. 1 indexed citations
20.
Lecoutre, Bruno. (1981). Procédures fiducio-bayesiennes pour l'investigation des mécanismes individuels en psychologie. L’Année psychologique. 81(2). 453–463. 2 indexed citations

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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