Claude Nadeau
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Statistical Distribution Estimation and Applications
- Advanced Causal Inference Techniques
- Artificial Intelligence top 5%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Bayesian Methods and Mixture Models
Papers in
-
- Neural Networks and Applications 3
- Machine Learning and Algorithms 1
- Evolutionary Algorithms and Applications 1
-
- Statistical Methods and Inference 2
- Statistical Methods and Bayesian Inference 2
- Statistical Distribution Estimation and Applications 1
- Co-authors
- Jerald F. Lawless (3 shared papers)René García (2 shared papers)François Bélisle (2 shared papers)Yoshua Bengio (2 shared papers)Charles Dugas (2 shared papers)Richard J. Cook (1 shared paper)Antoinette Ludwig (1 shared paper)Heather Orpana (1 shared paper)
- Journals
- Technometrics (2 papers)Journal of Machine Learning Research (1 paper)Machine Learning (1 paper)Biometrics (1 paper)Biometrika (1 paper)
- Partner nations
- Canada
In The Last Decade
Claude Nadeau
9 papers receiving 1.2k citations
Claude Nadeau's Hit Papers
Peers
Comparison fields: 5 of 159
- Statistics and Probability 432
- Artificial Intelligence 439
- Statistics, Probability and Uncertainty 53
- Computer Vision and Pattern Recognition 125
- Management Science and Operations Research 72
Countries citing papers authored by Claude Nadeau
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
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-authors
The 10 scholars most cited alongside Claude Nadeau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Inference for the Generalization Error Hit paper breakdown → | 2003 | 606 |
| 2 | 1995 | 335 | |
| 3 | Incorporating Second-Order Functional Knowledge for Better Option Pricing | 2000 | 154 |
| 4 | 1996 | 68 | |
| 5 | 1995 | 61 | |
| 6 | Incorporating Functional Knowledge in Neural Networks | 2009 | 24 |
| 7 | 1998 | 12 | |
| 8 | 2020 | 2 | |
| 9 | 1986 | 1 |
About Claude Nadeau
Claude Nadeau is a scholar working on Artificial Intelligence, Statistics and Probability, Ocean Engineering, Environmental Engineering and Economics and Econometrics, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Statistical Methods and Inference (2 papers), Statistical Methods and Bayesian Inference (2 papers), Reservoir Engineering and Simulation Methods (2 papers), Soil Geostatistics and Mapping (1 paper), Machine Learning and Algorithms (1 paper), Statistical Distribution Estimation and Applications (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Statistics and Probability (432 citations), Artificial Intelligence (439 citations), Statistics, Probability and Uncertainty (53 citations), Computer Vision and Pattern Recognition (125 citations) and Management Science and Operations Research (72 citations). Claude Nadeau has collaborated with scholars based in Canada. Frequent co-authors include Jerald F. Lawless, René García, François Bélisle, Yoshua Bengio, Charles Dugas, Richard J. Cook, Antoinette Ludwig, Heather Orpana, D. Hennessy and Nicholas H. Ogden. Their work appears in journals such as Technometrics, Journal of Machine Learning Research, Machine Learning, Biometrics and Biometrika.
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.