Ton de Waal
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference 17
- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 6
- Census and Population Estimation 5
- Artificial Intelligence top 2%
- Bayesian Modeling and Causal Inference 7
- Privacy-Preserving Technologies in Data 7
- Bayesian Methods and Mixture Models 4
- Data Analysis with R 4
- Computer Science Applications top 10%
- Co-authors
- Leon WillenborgJeroen PannekoekNatalie ShlomoLaura BoeschotenArnout van DeldenDaniel L. OberskiPiet DaasJeroen K. Vermunt
- Cited by
- Statistics and ProbabilityArtificial IntelligenceManagement Science and Operations Research
- Journals
- Journal of the Royal Statistical Society Series A (Statistics in Society) (1 paper)Structural Equation Modeling A Multidisciplinary Journal (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- NetherlandsUnited KingdomJapan
In The Last Decade
Ton de Waal
35 papers receiving 734 citations
Peers
Comparison fields: 5 of 96
- Statistics and Probability 246
- Artificial Intelligence 560
- Management Science and Operations Research 174
- Computer Science Applications 35
- Computational Mathematics 3
Countries citing papers authored by Ton de Waal
This map shows the geographic impact of Ton de Waal'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 Ton de Waal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ton de Waal more than expected).
Fields of papers citing papers by Ton de Waal
This network shows the impact of papers produced by Ton de Waal. 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 Ton de Waal. The network helps show where Ton de Waal may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Ton de Waal, 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 | 2021 | 2 | |
| 4 | Solving the disclosure auditing problem for secondary cell suppression by means of linear programming | 2020 | 1 |
| 5 | 2020 | 5 | |
| 6 | 2018 | 4 | |
| 7 | 2016 | 8 | |
| 8 | 2013 | 5 | |
| 9 | Imputation of numerical data under linear edit restrictions | 2011 | 3 |
| 10 | 2010 | 2 | |
| 11 | Protection of micro-data subject to edit constraints against Statistical Disclosure | 2008 | 13 |
| 12 | 2007 | 8 | |
| 13 | 2006 | 7 | |
| 14 | Automatic Edit and Imputation for Business Surveys: The Dutch Contribution to the EUREDIT Project | 2005 | 9 |
| 15 | Automatic error localisation for categorical, continuous and integer data | 2005 | 3 |
| 16 | A Fast and Simple Algorithm for Automatic Editing of Mixed Data | 2003 | 20 |
| 17 | Solving the Error Localization Problem by Means of Vertex Generation | 2003 | 8 |
| 18 | Optimal loca lsuppression in microdata | 1998 | 9 |
| 19 | Statistical Disclosure Control and Sampling Weights | 1997 | 9 |
| 20 | A View on Statistical Disclosure Control for Microdata | 1996 | 15 |
About Ton de Waal
Ton de Waal is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 38 papers that have together received 853 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (17 papers), Statistical Methods and Inference (13 papers), Bayesian Modeling and Causal Inference (7 papers), Privacy-Preserving Technologies in Data (7 papers), Advanced Statistical Methods and Models (6 papers), Census and Population Estimation (5 papers), Bayesian Methods and Mixture Models (4 papers) and Data Analysis with R (4 papers). The work is most often cited by research in Statistics and Probability (246 citations), Artificial Intelligence (560 citations) and Management Science and Operations Research (174 citations). Ton de Waal has collaborated with scholars based in Netherlands, United Kingdom and Japan. Frequent co-authors include Leon Willenborg, Jeroen Pannekoek, Natalie Shlomo, Laura Boeschoten, Arnout van Delden, Daniel L. Oberski, Piet Daas, Jeroen K. Vermunt, Marco Di Zio and Katrijn Van Deun. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Structural Equation Modeling A Multidisciplinary Journal 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.