Jean-Patrick Baudry
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Artificial Intelligence top 10%
- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
- Gaussian Processes and Bayesian Inference
Papers in
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- Statistical Methods and Inference 4
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- Bayesian Methods and Mixture Models 5
- Advanced Clustering Algorithms Research 4
- Machine Learning and Data Classification 1
- Machine Learning and Algorithms 1
- Co-authors
- Gilles Celeux (5 shared papers)Raphaël Gottardo (1 shared paper)Kenneth Lo (1 shared paper)Adrian E. Raftery (1 shared paper)Cathy Maugis (1 shared paper)Bertrand Michel (1 shared paper)Jean‐Michel Marin (1 shared paper)Margarida G. M. S. Cardoso (2 shared papers)
- Journals
- Statistics and Computing (2 papers)Electronic Journal of Statistics (2 papers)Advances in Data Analysis and Classification (1 paper)Journal of Computational and Graphical Statistics (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- FrancePortugalUnited States
In The Last Decade
Jean-Patrick Baudry
9 papers receiving 449 citations
Peers
Comparison fields: 5 of 113
- Statistics and Probability 122
- Artificial Intelligence 248
- Computational Mathematics 3
- Signal Processing 53
- Statistics, Probability and Uncertainty 15
Countries citing papers authored by Jean-Patrick Baudry
This map shows the geographic impact of Jean-Patrick Baudry'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 Jean-Patrick Baudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Patrick Baudry more than expected).
Fields of papers citing papers by Jean-Patrick Baudry
This network shows the impact of papers produced by Jean-Patrick Baudry. 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 Jean-Patrick Baudry. The network helps show where Jean-Patrick Baudry may publish in the future.
Co-authors
The 11 scholars most cited alongside Jean-Patrick Baudry, 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 | 2010 | 238 | |
| 2 | 2011 | 119 | |
| 3 | 2015 | 58 | |
| 4 | 2015 | 23 | |
| 5 | 2014 | 11 | |
| 6 | 2008 | 5 | |
| 7 | 2018 | 3 | |
| 8 | 2021 | 2 | |
| 9 | Enhancing The Selection Of A Number of Clusters in Model-Based Clustering with External Qualitative Variables | 2013 | 1 |
About Jean-Patrick Baudry
Jean-Patrick Baudry is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Signal Processing and Computational Theory and Mathematics, having authored 9 papers that have together received 460 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Statistical Methods and Inference (4 papers), Advanced Clustering Algorithms Research (4 papers), Machine Learning and Data Classification (1 paper), Probabilistic and Robust Engineering Design (1 paper), Gene expression and cancer classification (1 paper), Machine Learning and Algorithms (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Statistics and Probability (122 citations), Artificial Intelligence (248 citations), Computational Mathematics (3 citations), Signal Processing (53 citations) and Statistics, Probability and Uncertainty (15 citations). Jean-Patrick Baudry has collaborated with scholars based in France, Portugal and United States. Frequent co-authors include Gilles Celeux, Raphaël Gottardo, Kenneth Lo, Adrian E. Raftery, Cathy Maugis, Bertrand Michel, Jean‐Michel Marin, Margarida G. M. S. Cardoso, Ana Sousa Ferreira and Frédéric Guilloux. Their work appears in journals such as Statistics and Computing, Electronic Journal of Statistics, Advances in Data Analysis and Classification, Journal of Computational and Graphical Statistics and HAL (Le Centre pour la Communication Scientifique Directe).
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.