Denis Larocque

2.3k total citations
64 papers, 1.4k citations indexed

About

Denis Larocque is a scholar working on Statistics and Probability, Artificial Intelligence and Education. According to data from OpenAlex, Denis Larocque has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 7 papers in Education. Recurrent topics in Denis Larocque's work include Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (18 papers) and Advanced Statistical Methods and Models (15 papers). Denis Larocque is often cited by papers focused on Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (18 papers) and Advanced Statistical Methods and Models (15 papers). Denis Larocque collaborates with scholars based in Canada, Finland and United States. Denis Larocque's co-authors include François Bellavance, Ahlem Hajjem, Imad Bou-Hamad, Hatem Ben‐Ameur, Richard E. Tremblay, Frank Vitaro, Pierre‐Majorique Léger, Laurent Charlin, Hannu Oja and Jaakko Nevalainen and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Biometrika.

In The Last Decade

Denis Larocque

60 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denis Larocque Canada 20 316 266 155 141 123 64 1.4k
Timothy J. Robinson United States 18 196 0.6× 78 0.3× 169 1.1× 122 0.9× 159 1.3× 78 2.0k
Luigi Salmaso Italy 26 940 3.0× 310 1.2× 58 0.4× 167 1.2× 58 0.5× 152 2.9k
Tim Rakow United Kingdom 23 227 0.7× 325 1.2× 62 0.4× 115 0.8× 305 2.5× 64 2.6k
James G. Surles United States 14 312 1.0× 65 0.2× 53 0.3× 76 0.5× 112 0.9× 51 1.6k
Daniel L. Oberski Netherlands 26 339 1.1× 288 1.1× 139 0.9× 319 2.3× 534 4.3× 93 2.4k
SW 8 133 0.4× 224 0.8× 88 0.6× 105 0.7× 167 1.4× 10 1.3k
Xinyuan Song China 28 1.3k 4.0× 607 2.3× 50 0.3× 75 0.5× 108 0.9× 144 2.8k
Ulf Olsson Norway 18 166 0.5× 107 0.4× 112 0.7× 135 1.0× 272 2.2× 58 1.6k
Jonathan Wallace United Kingdom 14 95 0.3× 157 0.6× 86 0.6× 19 0.1× 83 0.7× 84 1.6k
Ronald D. Fricker United States 20 223 0.7× 136 0.5× 235 1.5× 105 0.7× 530 4.3× 65 2.1k

Countries citing papers authored by Denis Larocque

Since Specialization
Citations

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

Fields of papers citing papers by Denis Larocque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Larocque

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Larocque. A scholar is included among the top collaborators of Denis Larocque 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 Denis Larocque. Denis Larocque 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.
Larocque, Denis, et al.. (2023). Covariance regression with random forests. BMC Bioinformatics. 24(1). 258–258. 6 indexed citations
2.
Hartmann, Nathaniel N., Nawar N. Chaker, Bruno Lussier, Denis Larocque, & Johannes Habel. (2023). A theory of sales system shocks. Journal of the Academy of Marketing Science. 52(2). 261–283. 20 indexed citations
3.
Bouakez, Hafedh, Denis Larocque, & Michel Normandin. (2018). Separating the wheat from the chaff: A disaggregate analysis of the effects of public spending in the US. Canadian Journal of Economics/Revue canadienne d économique. 51(2). 361–390. 3 indexed citations
4.
Grégoire, Yany, et al.. (2018). How can firms stop customer revenge? The effects of direct and indirect revenge on post-complaint responses. Journal of the Academy of Marketing Science. 46(6). 1052–1071. 78 indexed citations
5.
Larocque, Denis, et al.. (2016). $$L_1$$ L 1 splitting rules in survival forests. Lifetime Data Analysis. 23(4). 671–691. 20 indexed citations
6.
Larocque, Denis, et al.. (2015). \(L_1\) splitting rules in survival forests. Les Cahiers du GERAD. 1–20. 3 indexed citations
7.
Lambert, Eric G., et al.. (2012). Processing of syllables during handwriting: Effects of graphomotor constraints. Quarterly Journal of Experimental Psychology. 65(10). 1872–1879. 19 indexed citations
8.
Alamargot, Denis, et al.. (2011). Dynamics of the spelling process during a copy task: Effects of regularity and frequency.. Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale. 65(3). 141–150. 44 indexed citations
9.
Hajjem, Ahlem, François Bellavance, & Denis Larocque. (2010). Generalized Mixed Effects Regression Trees. RePEc: Research Papers in Economics. 1–17. 3 indexed citations
10.
Larocque, Denis, Hatem Ben‐Ameur, & Imad Bou-Hamad. (2009). Discrete-Time Survival Trees and Forests with Time-Varying Covariates: Application to Bankruptcy Data. Les Cahiers du GERAD. 1–18. 1 indexed citations
11.
Larocque, Denis, et al.. (2009). Multivariate trees for mixed outcomes. Computational Statistics & Data Analysis. 53(11). 3795–3804. 9 indexed citations
12.
Haataja, Riina, Denis Larocque, Jaakko Nevalainen, & Hannu Oja. (2008). A weighted multivariate signed-rank test for cluster-correlated data. Journal of Multivariate Analysis. 100(6). 1107–1119. 9 indexed citations
13.
Larocque, Denis & Ronald H. Randles. (2008). Confidence Intervals for a Discrete Population Median. The American Statistician. 62(1). 32–39. 4 indexed citations
14.
Bou-Hamad, Imad, et al.. (2007). Discrete-Time Survival Trees. Les Cahiers du GERAD. 1–24. 1 indexed citations
15.
Taboubi, Sihem, et al.. (2007). An Investigation of Factors Affecting Fair Trade Consumption. Les Cahiers du GERAD. 1–22. 1 indexed citations
16.
Larocque, Denis, Jaakko Nevalainen, & Hannu Oja. (2007). One-sample location tests for multilevel data. Journal of Statistical Planning and Inference. 138(8). 2469–2482. 5 indexed citations
17.
Nevalainen, Jaakko, Denis Larocque, & Hannu Oja. (2006). Weighted Spatial Median for Clustered Data. Les Cahiers du GERAD. 1–30. 2 indexed citations
18.
Larocque, Denis & Mukhtar Fatihu Hamza. (2003). An Empirical Comparison of Ensemble Methods Based on Classification Trees. Les Cahiers du GERAD. 1–17.
19.
Vitaro, Frank, Denis Larocque, Michel Janosz, & Richard E. Tremblay. (2001). Negative Social Experiences and Dropping Out of School. Educational Psychology. 21(4). 401–415. 78 indexed citations
20.
Gosselin, Catherine, Denis Larocque, Frank Vitaro, & Claude Gagnon. (2000). Identification des facteurs liés à la consommation de cigarettes, d'alcool et de drogues à l'adolescence. International Journal of Psychology. 35(1). 46–59. 6 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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