Ton de Waal

28 papers and 652 indexed citations i.

About

Ton de Waal is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Ton de Waal has authored 28 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Ton de Waal’s work include Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (9 papers) and Census and Population Estimation (5 papers). Ton de Waal is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (9 papers) and Census and Population Estimation (5 papers). Ton de Waal collaborates with scholars based in The Netherlands, United Kingdom and Japan. Ton de Waal's co-authors include Leon Willenborg, Sander Scholtus, Jeroen Pannekoek, Natalie Shlomo, Laura Boeschoten, Daniel L. Oberski, Arnout van Delden, Piet Daas, Jeroen K. Vermunt and Katrijn Van Deun and has published in prestigious 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.

In The Last Decade

Co-authorship network of co-authors of Ton de Waal i

Fields of papers citing papers by Ton de Waal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Ton de Waal

Since Specialization
Citations

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).

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.

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