Stefan Van Aelst
- Statistics and Probability top 0.2%
- Advanced Statistical Methods and Models 62
- Statistical Methods and Inference 41
- Fuzzy Systems and Optimization 10
- Statistical Distribution Estimation and Applications 5
- Statistical Methods and Bayesian Inference 5
-
- Advanced Statistical Process Monitoring 35
-
- Multi-Criteria Decision Making 9
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses 8
- Artificial Intelligence top 5%
- Co-authors
- Gert WillemsAndreas ChristmannPeter J. RousseeuwRuben H. ZamarGreet PisonMatías Salibián‐BarreraChristophe CrouxBeatriz Sinova
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
In The Last Decade
Stefan Van Aelst
84 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 178
- Statistics and Probability 1.2k
- Statistics, Probability and Uncertainty 588
- Management Science and Operations Research 224
- Analytical Chemistry 136
- Artificial Intelligence 288
Countries citing papers authored by Stefan Van Aelst
This map shows the geographic impact of Stefan Van Aelst'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 Stefan Van Aelst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Van Aelst more than expected).
Fields of papers citing papers by Stefan Van Aelst
This network shows the impact of papers produced by Stefan Van Aelst. 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 Stefan Van Aelst. The network helps show where Stefan Van Aelst may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Van Aelst, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 6 | |
| 7 | 2018 | 4 | |
| 8 | 2017 | 9 | |
| 9 | 2015 | 13 | |
| 10 | 2014 | 8 | |
| 11 | Fast and Robust Bootstrap for Multivariate Inference: The R Package FRB | 2013 | 7 |
| 12 | 2013 | 12 | |
| 13 | Fast Bootstrap for Robust Hotelling Tests | 2008 | 1 |
| 14 | Robust linear clustering around affine subspaces | 2007 | 1 |
| 15 | A Survey of Robust Statistics - Comment | 2007 | 1 |
| 16 | MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE | 2005 | 50 |
| 17 | A Fast Bootstrap Method for the MCD Estimator | 2004 | 2 |
| 18 | 2002 | 1 | |
| 19 | Inconsistency of resampling algorithms for high-breakdown regression estimators and a new algorithm - Comment | 2002 | 1 |
| 20 | 2000 | 26 |
About Stefan Van Aelst
Stefan Van Aelst is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (62 papers), Statistical Methods and Inference (41 papers), Advanced Statistical Process Monitoring (35 papers), Fuzzy Systems and Optimization (10 papers), Multi-Criteria Decision Making (9 papers), Spectroscopy and Chemometric Analyses (8 papers), Statistical Distribution Estimation and Applications (5 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (588 citations) and Management Science and Operations Research (224 citations). Stefan Van Aelst has collaborated with scholars based in Belgium, Canada and Spain. Frequent co-authors include Gert Willems, Andreas Christmann, Peter J. Rousseeuw, Ruben H. Zamar, Greet Pison, Matías Salibián‐Barrera, Christophe Croux, Beatriz Sinova, Mia Hubert and Vı́ctor J. Yohai. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Multivariate Analysis, Journal of the American Statistical Association, Advances in Data Analysis and Classification and International Journal of Approximate Reasoning.
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.