Davy Paindaveine
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 1%
- Artificial Intelligence top 10%
- Finance top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Marc HallinMiroslav ŠimanChristophe LeyHannu OjaGery GeenensArthur CharpentierRainer DyckerhoffJérôme Saracco
- Topics
- Advanced Statistical Methods and Models (48 papers)Statistical Methods and Inference (29 papers)Statistical Methods and Bayesian Inference (15 papers)
In The Last Decade
Davy Paindaveine
60 papers receiving 841 citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 716
- Statistics, Probability and Uncertainty 176
- Artificial Intelligence 133
- Finance 122
- Management Science and Operations Research 93
Countries citing papers authored by Davy Paindaveine
This map shows the geographic impact of Davy Paindaveine'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 Davy Paindaveine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davy Paindaveine more than expected).
Fields of papers citing papers by Davy Paindaveine
This network shows the impact of papers produced by Davy Paindaveine. 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 Davy Paindaveine. The network helps show where Davy Paindaveine may publish in the future.
Co-authorship network of co-authors of Davy Paindaveine
This figure shows the co-authorship network connecting the top 25 collaborators of Davy Paindaveine. A scholar is included among the top collaborators of Davy Paindaveine 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 Davy Paindaveine. Davy Paindaveine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 35 | |
| 9 | Rejoinder: Multivariate quantiles and multiple-output regression quantiles | 2 |
| 10 | 37 | |
| 11 | 128 | |
| 12 | 14 | |
| 13 | 18 | |
| 14 | 11 | |
| 15 | 8 | |
| 16 | Optimal tests for symmetry | 3 |
| 17 | 8 | |
| 18 | 26 | |
| 19 | 3 | |
| 20 | Optimal procedures based on interdirections and pseudo-Mahalanobis ranks for testing multivariate elliptic white noise against ARMA dependence | 20 |
About Davy Paindaveine
Davy Paindaveine is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 64 papers that have together received 909 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (48 papers), Statistical Methods and Inference (29 papers) and Statistical Methods and Bayesian Inference (15 papers). The work is most often cited by research in Statistics and Probability (716 citations), Statistics, Probability and Uncertainty (176 citations) and Finance (122 citations). Davy Paindaveine has collaborated with scholars based in Belgium, France and Czechia. Frequent co-authors include Marc Hallin, Miroslav Šiman, Christophe Ley, Hannu Oja, Gery Geenens, Arthur Charpentier, Rainer Dyckerhoff, Jérôme Saracco, Klaus Nordhausen and Zudi Lu. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Journal of Econometrics.
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.