Guy Brys
Impact in
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
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- Advanced Statistical Process Monitoring
Papers in
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- Advanced Statistical Methods and Models 6
- Statistical Distribution Estimation and Applications 3
- Statistical Methods and Inference 2
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- Probabilistic and Robust Engineering Design 2
- Advanced Statistical Process Monitoring 1
- Co-authors
- Mia Hubert (7 shared papers)Anja Struyf (6 shared papers)Peter J. Rousseeuw (2 shared papers)Luc Aucremanne (1 shared paper)Martine Van Wouwe (1 shared paper)Tim Verdonck (1 shared paper)Marc De Ceuster (1 shared paper)Jan Annaert (1 shared paper)
- Journals
- Journal of Chemometrics (1 paper)Journal of Computational and Graphical Statistics (1 paper)Computational Statistics & Data Analysis (1 paper)Computational Statistics (1 paper)Birkhäuser Basel eBooks (1 paper)
- Partner nations
- Belgium
In The Last Decade
Guy Brys
9 papers receiving 451 citations
Peers
Comparison fields: 5 of 112
- Statistics and Probability 167
- Statistics, Probability and Uncertainty 84
- Finance 52
- Environmental Engineering 49
- Analytical Chemistry 31
Countries citing papers authored by Guy Brys
This map shows the geographic impact of Guy Brys'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 Guy Brys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Brys more than expected).
Fields of papers citing papers by Guy Brys
This network shows the impact of papers produced by Guy Brys. 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 Guy Brys. The network helps show where Guy Brys may publish in the future.
Co-authors
The 8 scholars most cited alongside Guy Brys, 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 | 2004 | 230 | |
| 2 | 2003 | 73 | |
| 3 | 2004 | 67 | |
| 4 | 2005 | 54 | |
| 5 | 2007 | 34 | |
| 6 | A robustification of the Jarque-Bera test of normality | 2004 | 15 |
| 7 | 2004 | 11 | |
| 8 | A robustification of the chain ladder method | 2007 | 2 |
| 9 | A new large sample test of univariate symmetry: a comparative size-power study | 2005 | 1 |
About Guy Brys
Guy Brys is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, General Economics, Econometrics and Finance, Finance and Analytical Chemistry, having authored 9 papers that have together received 487 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Statistical Distribution Estimation and Applications (3 papers), Probabilistic and Robust Engineering Design (2 papers), Statistical Methods and Inference (2 papers), Monetary Policy and Economic Impact (2 papers), Blind Source Separation Techniques (1 paper), Spectroscopy and Chemometric Analyses (1 paper) and Advanced Statistical Process Monitoring (1 paper). The work is most often cited by research in Statistics and Probability (167 citations), Statistics, Probability and Uncertainty (84 citations), Finance (52 citations), Environmental Engineering (49 citations) and Analytical Chemistry (31 citations). Guy Brys has collaborated with scholars based in Belgium. Frequent co-authors include Mia Hubert, Anja Struyf, Peter J. Rousseeuw, Luc Aucremanne, Martine Van Wouwe, Tim Verdonck, Marc De Ceuster and Jan Annaert. Their work appears in journals such as Journal of Chemometrics, Journal of Computational and Graphical Statistics, Computational Statistics & Data Analysis, Computational Statistics and Birkhäuser Basel eBooks.
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.