Noël Veraverbeke
- Statistics and Probability top 0.2%
- Finance top 1%
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 5%
- Mathematical Physics top 2%
- Co-authors
- Paul EmbrechtsIrène GijbelsPaul JanssenMarek OmelkaIngrid Van KeilegomCharles M. GoldieJan SwanepoelHerman Callaert
- Topics
- Statistical Methods and Inference (73 papers)Statistical Distribution Estimation and Applications (42 papers)Bayesian Methods and Mixture Models (30 papers)
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology)The Annals of StatisticsJournal of Mathematical Analysis and Applications
- Partner nations
- BelgiumSouth AfricaCzechia
In The Last Decade
Noël Veraverbeke
95 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 83
- Statistics and Probability 1.3k
- Finance 875
- Management Science and Operations Research 822
- Artificial Intelligence 430
- Mathematical Physics 344
Countries citing papers authored by Noël Veraverbeke
This map shows the geographic impact of Noël Veraverbeke'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 Noël Veraverbeke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noël Veraverbeke more than expected).
Fields of papers citing papers by Noël Veraverbeke
This network shows the impact of papers produced by Noël Veraverbeke. 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 Noël Veraverbeke. The network helps show where Noël Veraverbeke may publish in the future.
Co-authorship network of co-authors of Noël Veraverbeke
This figure shows the co-authorship network connecting the top 25 collaborators of Noël Veraverbeke. A scholar is included among the top collaborators of Noël Veraverbeke 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 Noël Veraverbeke. Noël Veraverbeke 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 | 1 | |
| 3 | 15 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 29 | |
| 7 | 16 | |
| 8 | 37 | |
| 9 | 7 | |
| 10 | 38 | |
| 11 | 5 | |
| 12 | 57 | |
| 13 | Density and hazard estimation in censored regression models | 15 |
| 14 | 18 | |
| 15 | 30 | |
| 16 | 16 | |
| 17 | Bootstrapping U-quantiles | 4 |
| 18 | 5 | |
| 19 | 248 | |
| 20 | 172 |
About Noël Veraverbeke
Noël Veraverbeke is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 100 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (73 papers), Statistical Distribution Estimation and Applications (42 papers) and Bayesian Methods and Mixture Models (30 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Finance (875 citations) and Management Science and Operations Research (822 citations). Noël Veraverbeke has collaborated with scholars based in Belgium, South Africa and Czechia. Frequent co-authors include Paul Embrechts, Irène Gijbels, Paul Janssen, Marek Omelka, Ingrid Van Keilegom, Charles M. Goldie, Jan Swanepoel, Herman Callaert, Roel Braekers and J. L. Teugels. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), The Annals of Statistics and Journal of Mathematical Analysis and Applications.
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.