Claude Nadeau

2.6k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Claude Nadeau is a scholar working on Artificial Intelligence, Statistics and Probability and Ocean Engineering. According to data from OpenAlex, Claude Nadeau has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Ocean Engineering. Recurrent topics in Claude Nadeau's work include Neural Networks and Applications (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Statistical Methods and Inference (2 papers). Claude Nadeau is often cited by papers focused on Neural Networks and Applications (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Statistical Methods and Inference (2 papers). Claude Nadeau collaborates with scholars based in Canada. Claude Nadeau's co-authors include Jerald F. Lawless, Charles Dugas, Yoshua Bengio, François Bélisle, René García, Richard J. Cook, Nicholas H. Ogden, Antoinette Ludwig, Heather Orpana and D. Hennessy and has published in prestigious journals such as Technometrics, Biometrics and Biometrika.

In The Last Decade

Claude Nadeau

9 papers receiving 1.2k citations

Hit Papers

Inference for the Generalization Error 2003 2026 2010 2018 2003 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Inference for the Generalization Error
    2003 606 citations Claude Nadeau et al. Machine Learning profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claude Nadeau Canada 7 439 432 125 85 85 9 1.3k
Yongdai Kim South Korea 21 368 0.8× 465 1.1× 82 0.7× 73 0.9× 146 1.7× 104 1.7k
Rahul Mazumder United States 12 325 0.7× 298 0.7× 283 2.3× 45 0.5× 149 1.8× 36 1.3k
Sadanori Konishi Japan 20 469 1.1× 898 2.1× 123 1.0× 111 1.3× 139 1.6× 88 1.9k
Marten Wegkamp United States 16 517 1.2× 613 1.4× 111 0.9× 110 1.3× 82 1.0× 42 1.3k
Charles Bouveyron France 17 746 1.7× 230 0.5× 213 1.7× 64 0.8× 174 2.0× 70 1.4k
Pedro J. García-Laencina Spain 12 845 1.9× 181 0.4× 201 1.6× 38 0.4× 116 1.4× 20 1.7k
Kristiaan Pelckmans Sweden 22 514 1.2× 182 0.4× 185 1.5× 17 0.2× 118 1.4× 91 1.5k
Alessandro Rinaldo United States 20 565 1.3× 567 1.3× 108 0.9× 55 0.6× 139 1.6× 57 1.5k
Jacob Bien United States 14 316 0.7× 189 0.4× 95 0.8× 45 0.5× 195 2.3× 35 976
Thomas S. Richardson United States 21 880 2.0× 794 1.8× 63 0.5× 162 1.9× 206 2.4× 66 1.8k

Countries citing papers authored by Claude Nadeau

Since Specialization
Citations

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

Fields of papers citing papers by Claude Nadeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claude Nadeau

This figure shows the co-authorship network connecting the top 25 collaborators of Claude Nadeau. A scholar is included among the top collaborators of Claude Nadeau 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 Claude Nadeau. Claude Nadeau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
2.
Dugas, Charles, Yoshua Bengio, François Bélisle, Claude Nadeau, & René García. (2009). Incorporating Functional Knowledge in Neural Networks. Journal of Machine Learning Research. 10(42). 1239–1262. 24 indexed citations
3.
Nadeau, Claude, et al.. (2003). Inference for the Generalization Error. Machine Learning. 52(3). 239–281. 606 indexed citations breakdown →
4.
Dugas, Charles, Yoshua Bengio, François Bélisle, Claude Nadeau, & René García. (2000). Incorporating Second-Order Functional Knowledge for Better Option Pricing. Neural Information Processing Systems. 13. 472–478. 154 indexed citations
5.
Nadeau, Claude. (1998). Inference for means and covariances of point processes through estimating functions. Biometrika. 85(4). 893–906. 12 indexed citations
6.
Cook, Richard J., Jerald F. Lawless, & Claude Nadeau. (1996). Robust Tests for Treatment Comparisons Based on Recurrent Event Responses. Biometrics. 52(2). 557–557. 68 indexed citations
7.
Lawless, Jerald F. & Claude Nadeau. (1995). Some Simple Robust Methods for the Analysis of Recurrent Events. Technometrics. 37(2). 158–168. 335 indexed citations
8.
Lawless, Jerald F. & Claude Nadeau. (1995). Some Simple Robust Methods for the Analysis of Recurrent Events. Technometrics. 37(2). 158–158. 61 indexed citations
9.
Nadeau, Claude. (1986). La planification d'un mouvement corporel: Un processus de consommation de ressources.. Canadian Journal of Psychology/Revue Canadienne de Psychologie. 40(2). 188–202. 1 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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