Mia Hubert
Impact in
- Statistics and Probability top 0.05%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
-
- Advanced Statistical Process Monitoring
Papers in
-
- Advanced Statistical Methods and Models 87
- Statistical Methods and Inference 35
-
- Advanced Statistical Process Monitoring 56
- Co-authors
- Peter J. Rousseeuw (48 shared papers)Karlien Vanden Branden (10 shared papers)Anja Struyf (13 shared papers)Sabine Verboven (12 shared papers)Michiel Debruyne (11 shared papers)Guy Brys (7 shared papers)Sanne M.E. Engelen (8 shared papers)Stefan Van Aelst (8 shared papers)
- Journals
- Computational Statistics & Data Analysis (13 papers)Chemometrics and Intelligent Laboratory Systems (8 papers)Journal of Chemometrics (7 papers)Wiley Interdisciplinary Reviews Computational Statistics (5 papers)Journal of the American Statistical Association (4 papers)
- Partner nations
- BelgiumPortugalUnited States
In The Last Decade
Mia Hubert
116 papers receiving 6.4k citations
Mia Hubert's Hit Papers
Peers
Comparison fields: 5 of 214
- Statistics and Probability 2.5k
- Statistics, Probability and Uncertainty 1.4k
- Analytical Chemistry 1.2k
- Computational Mathematics 29
- Artificial Intelligence 1.1k
Countries citing papers authored by Mia Hubert
This map shows the geographic impact of Mia Hubert'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 Mia Hubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Hubert more than expected).
Fields of papers citing papers by Mia Hubert
This network shows the impact of papers produced by Mia Hubert. 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 Mia Hubert. The network helps show where Mia Hubert may publish in the future.
Co-authors
The 25 scholars most cited alongside Mia Hubert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ROBPCA: A New Approach to Robust Principal Component Analysis Hit paper breakdown → | 2005 | 792 |
| 2 | Robust statistics for outlier detection Hit paper breakdown → | 2011 | 564 |
| 3 | 2004 | 336 | |
| 4 | 1996 | 303 | |
| 5 | 2004 | 230 | |
| 6 | 2003 | 227 | |
| 7 | 2008 | 219 | |
| 8 | 2002 | 197 | |
| 9 | High-breakdown robust multivariate methods | 2008 | 196 |
| 10 | 2009 | 189 | |
| 11 | 1997 | 152 | |
| 12 | 2002 | 146 | |
| 13 | 2017 | 145 | |
| 14 | 2004 | 144 | |
| 15 | 2006 | 133 | |
| 16 | 2015 | 128 | |
| 17 | 1999 | 128 | |
| 18 | 2005 | 127 | |
| 19 | 2015 | 117 | |
| 20 | "Finding Groups in Data": Cluster Analysis Extended Rousseeuw etal. | 2015 | 104 |
About Mia Hubert
Mia Hubert is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Analytical Chemistry, Signal Processing and Control and Systems Engineering, having authored 121 papers that have together received 6.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (87 papers), Advanced Statistical Process Monitoring (56 papers), Spectroscopy and Chemometric Analyses (36 papers), Statistical Methods and Inference (35 papers), Fault Detection and Control Systems (12 papers), Blind Source Separation Techniques (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Statistical and numerical algorithms (5 papers). The work is most often cited by research in Statistics and Probability (2.5k citations), Statistics, Probability and Uncertainty (1.4k citations), Analytical Chemistry (1.2k citations), Computational Mathematics (29 citations) and Artificial Intelligence (1.1k citations). Mia Hubert has collaborated with scholars based in Belgium, Portugal and United States. Frequent co-authors include Peter J. Rousseeuw, Karlien Vanden Branden, Anja Struyf, Sabine Verboven, Michiel Debruyne, Guy Brys, Sanne M.E. Engelen, Stefan Van Aelst, Tim Verdonck and Éric Schmitt. Their work appears in journals such as Computational Statistics & Data Analysis, Chemometrics and Intelligent Laboratory Systems, Journal of Chemometrics, Wiley Interdisciplinary Reviews Computational Statistics and Journal of the American Statistical Association.
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.