Gerda Claeskens
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Advanced Causal Inference Techniques
- Statistical Distribution Estimation and Applications
Papers in
-
- Statistical Methods and Inference 81
- Advanced Statistical Methods and Models 42
- Statistical Methods and Bayesian Inference 37
- Statistical Distribution Estimation and Applications 9
- Statistical Methods in Clinical Trials 5
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- Bayesian Methods and Mixture Models 29
- Co-authors
- Nils Lid HjortMarc AertsJean D. OpsomerTatyana KrivobokovaChristophe CrouxIngrid Van KeilegomBart BaesensF. Jay Breidt
- Journals
- Journal of the American Statistical Association (10 papers)Biometrika (6 papers)Test (5 papers)Journal of Statistical Planning and Inference (5 papers)Computational Statistics & Data Analysis (4 papers)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Gerda Claeskens
123 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 170
- Statistics and Probability 2.1k
- Statistics, Probability and Uncertainty 294
- Management Science and Operations Research 504
- Finance 322
- General Economics, Econometrics and Finance 265
Countries citing papers authored by Gerda Claeskens
This map shows the geographic impact of Gerda Claeskens'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 Gerda Claeskens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerda Claeskens more than expected).
Fields of papers citing papers by Gerda Claeskens
This network shows the impact of papers produced by Gerda Claeskens. 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 Gerda Claeskens. The network helps show where Gerda Claeskens may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerda Claeskens, 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 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | Community-Based Group Graphical Lasso | 2020 | 1 |
| 6 | An EM algorithm to model the occurrence of events subject to a reporting delay | 2018 | 3 |
| 7 | 2018 | 96 | |
| 8 | 2016 | 8 | |
| 9 | 2015 | 4 | |
| 10 | 2015 | 12 | |
| 11 | 2014 | 9 | |
| 12 | 2013 | 2 | |
| 13 | 2012 | 14 | |
| 14 | 2008 | 26 | |
| 15 | 2008 | 34 | |
| 16 | Managing uncertainty:financial, actuarial and statistical modelling | 2005 | 2 |
| 17 | Discussion: Rejoinder to 'The focussed information criterion' and 'Frequentist model averaging' | 2003 | 12 |
| 18 | 2002 | 13 | |
| 19 | 1999 | 63 | |
| 20 | 1997 | 40 |
About Gerda Claeskens
Gerda Claeskens is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 135 papers that have together received 3.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (81 papers), Advanced Statistical Methods and Models (42 papers), Statistical Methods and Bayesian Inference (37 papers), Bayesian Methods and Mixture Models (29 papers), Statistical Distribution Estimation and Applications (9 papers), Financial Risk and Volatility Modeling (9 papers), Insurance, Mortality, Demography, Risk Management (6 papers) and Statistical Methods in Clinical Trials (5 papers). The work is most often cited by research in Statistics and Probability (2.1k citations), Statistics, Probability and Uncertainty (294 citations), Management Science and Operations Research (504 citations), Finance (322 citations) and General Economics, Econometrics and Finance (265 citations). Gerda Claeskens has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Nils Lid Hjort, Marc Aerts, Jean D. Opsomer, Tatyana Krivobokova, Christophe Croux, Ingrid Van Keilegom, Bart Baesens, F. Jay Breidt, Andrey L. Vasnev and Wendun Wang. Their work appears in journals such as Journal of the American Statistical Association, Biometrika, Test, Journal of Statistical Planning and Inference and Computational Statistics & Data Analysis.
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.