Yuri Goegebeur
- Finance top 0.5%
- Statistics and Probability top 0.5%
- Global and Planetary Change top 2%
- Economics and Econometrics top 2%
- Management Science and Operations Research top 2%
- Co-authors
- Jan BeirlantJohan SegersJozef L. TeugelsArmelle GuillouTertius de WetGoedele DierckxGunther MatthysAndrew Gelman
- Topics
- Financial Risk and Volatility Modeling (47 papers)Statistical Distribution Estimation and Applications (29 papers)Statistical Methods and Inference (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Royal Statistical Society Series B (Statistical Methodology)The Annals of Statistics
In The Last Decade
Yuri Goegebeur
56 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Finance 1.3k
- Statistics and Probability 869
- Global and Planetary Change 731
- Economics and Econometrics 524
- Management Science and Operations Research 341
Countries citing papers authored by Yuri Goegebeur
This map shows the geographic impact of Yuri Goegebeur'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 Yuri Goegebeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Goegebeur more than expected).
Fields of papers citing papers by Yuri Goegebeur
This network shows the impact of papers produced by Yuri Goegebeur. 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 Yuri Goegebeur. The network helps show where Yuri Goegebeur may publish in the future.
Co-authorship network of co-authors of Yuri Goegebeur
This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Goegebeur. A scholar is included among the top collaborators of Yuri Goegebeur 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 Yuri Goegebeur. Yuri Goegebeur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | 16 | |
| 15 | 17 | |
| 16 | LINKING PARETO-TAIL KERNEL GOODNESS-OF-FIT STATISTICS WITH TAIL INDEX AT OPTIMAL THRESHOLD AND SECOND ORDER ESTIMATION | 33 |
| 17 | 55 | |
| 18 | 32 | |
| 19 | Discussion of the paper 'A conditional approach for multivariate extreme values' by Heffernan, J.E. & J.A. Tawn | 2 |
| 20 | 29 |
About Yuri Goegebeur
Yuri Goegebeur is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (47 papers), Statistical Distribution Estimation and Applications (29 papers) and Statistical Methods and Inference (17 papers). The work is most often cited by research in Finance (1.3k citations), Statistics and Probability (869 citations) and Global and Planetary Change (731 citations). Yuri Goegebeur has collaborated with scholars based in Denmark, France and Belgium. Frequent co-authors include Jan Beirlant, Johan Segers, Jozef L. Teugels, Armelle Guillou, Tertius de Wet, Goedele Dierckx, Gunther Matthys, Andrew Gelman, Iven Van Mechelen and Francis Tuerlinckx. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.
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.