Aad van der Vaart

20.4k total citations · 3 hit papers
143 papers, 11.5k citations indexed

About

Aad van der Vaart is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Aad van der Vaart has authored 143 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Statistics and Probability, 50 papers in Artificial Intelligence and 17 papers in Molecular Biology. Recurrent topics in Aad van der Vaart's work include Statistical Methods and Inference (62 papers), Bayesian Methods and Mixture Models (43 papers) and Statistical Methods and Bayesian Inference (29 papers). Aad van der Vaart is often cited by papers focused on Statistical Methods and Inference (62 papers), Bayesian Methods and Mixture Models (43 papers) and Statistical Methods and Bayesian Inference (29 papers). Aad van der Vaart collaborates with scholars based in Netherlands, United States and United Kingdom. Aad van der Vaart's co-authors include Jon A. Wellner, Susan A. Murphy, Subhashis Ghosal, J. H. van Zanten, Thomas Mikosch, Jayanta K. Ghosh, B. J. K. Kleijn, Valérie Ventura, Mark J. van der Laan and James M. Robins and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and NeuroImage.

In The Last Decade

Aad van der Vaart

134 papers receiving 10.9k citations

Hit Papers

Weak Convergence and Empirical Processes 1996 2026 2006 2016 1996 1998 1997 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aad van der Vaart Netherlands 38 7.6k 3.5k 1.4k 1.1k 969 143 11.5k
Jon A. Wellner United States 35 8.9k 1.2× 3.0k 0.9× 1.9k 1.3× 1.2k 1.1× 1.1k 1.1× 123 11.7k
M. C. Jones United Kingdom 43 5.6k 0.7× 2.8k 0.8× 1.2k 0.9× 1.2k 1.1× 877 0.9× 155 11.8k
Edward I. George United States 32 4.0k 0.5× 2.8k 0.8× 588 0.4× 1.3k 1.2× 962 1.0× 110 9.2k
Peter Hall Australia 53 5.1k 0.7× 2.7k 0.8× 829 0.6× 827 0.8× 693 0.7× 315 10.9k
J. S. Marron United States 57 5.3k 0.7× 3.6k 1.0× 688 0.5× 805 0.8× 592 0.6× 176 12.6k
Adelchi Azzalini Italy 30 5.4k 0.7× 2.2k 0.6× 1.5k 1.0× 1.0k 0.9× 1.2k 1.2× 75 10.4k
Peter J. Bickel United States 60 9.2k 1.2× 4.1k 1.2× 1.8k 1.2× 1.7k 1.6× 1.4k 1.5× 221 19.0k
A. P. Dawid United Kingdom 43 3.5k 0.5× 4.7k 1.3× 402 0.3× 914 0.9× 1.5k 1.5× 177 10.8k
Art B. Owen United States 41 4.5k 0.6× 1.4k 0.4× 779 0.5× 477 0.4× 820 0.8× 117 9.4k
Norman L. Johnson United States 34 6.2k 0.8× 3.0k 0.9× 1.4k 1.0× 1.3k 1.2× 2.4k 2.5× 354 15.4k

Countries citing papers authored by Aad van der Vaart

Since Specialization
Citations

This map shows the geographic impact of Aad van der Vaart'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 Aad van der Vaart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aad van der Vaart more than expected).

Fields of papers citing papers by Aad van der Vaart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aad van der Vaart. 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 Aad van der Vaart. The network helps show where Aad van der Vaart may publish in the future.

Co-authorship network of co-authors of Aad van der Vaart

This figure shows the co-authorship network connecting the top 25 collaborators of Aad van der Vaart. A scholar is included among the top collaborators of Aad van der Vaart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aad van der Vaart. Aad van der Vaart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kremer, Daan, Aad van der Vaart, Daan J. Touw, et al.. (2025). Increased ferritin levels are associated with incident diabetes after kidney transplantation: A prospective cohort study. Diabetes & Metabolism. 51(2). 101626–101626.
2.
Meulen, Frank van der, et al.. (2025). On a class of exponential changes of measure for stochastic PDEs. Stochastic Processes and their Applications. 185. 104630–104630. 1 indexed citations
3.
Vaart, Aad van der & Jon A. Wellner. (2023). Weak Convergence and Empirical Processes. Springer series in statistics. 22 indexed citations
4.
Pas, Stéphanie van der & Aad van der Vaart. (2018). Bayesian community detection. Leiden Repository (Leiden University). 12 indexed citations
5.
Pas, Stéphanie van der, Botond Szabó, & Aad van der Vaart. (2016). How many needles in the haystack? Adaptive inference and uncertainty quantification for the horseshoe. arXiv (Cornell University). 1 indexed citations
6.
Wieringen, Wessel N. van & Aad van der Vaart. (2015). Transcriptomic Heterogeneity in Cancer as a Consequence of Dysregulation of the Gene–Gene Interaction Network. Bulletin of Mathematical Biology. 77(9). 1768–1786. 4 indexed citations
7.
Jonker, Marianne A. & Aad van der Vaart. (2014). On the Correction of the Asymptotic Distribution of the Likelihood Ratio Statistic If Nuisance Parameters Are Estimated Based on an External Source. The International Journal of Biostatistics. 10(2). 123–142. 3 indexed citations
8.
Vaart, Aad van der & Harry van Zanten. (2011). Information Rates of Nonparametric Gaussian Process Methods. Journal of Machine Learning Research. 12(60). 2095–2119. 69 indexed citations
9.
Vaart, Aad van der & Jon A. Wellner. (2009). A note on bounds for VC dimensions. PubMed. 5. 103–107. 10 indexed citations
10.
Ghosal, Subhashis, et al.. (2007). Posterior convergence rates of Dirichlet mixtures at smooth densities. NCSU Libraries Repository (North Carolina State University Libraries). 70 indexed citations
11.
Vaart, Aad van der & Mark J. van der Laan. (2006). Estimating a Survival Distribution with Current Status Data and High-dimensional Covariates. The International Journal of Biostatistics. 2(1). 34 indexed citations
12.
Dommelen, Paula van, Mathisca C. M. de Gunst, Aad van der Vaart, Stef van Buuren, & Dorret I. Boomsma. (2004). Groeidiagrammen voor lengte, gewicht en 'body mass index' van tweelingen in de peutertijd. Data Archiving and Networked Services (DANS). 2 indexed citations
13.
Dommelen, Paula van, Mathisca C. M. de Gunst, Aad van der Vaart, & Dorret I. Boomsma. (2004). Genetic Study of the Height and Weight Process During Infancy. Twin Research. 7(6). 607–616. 2 indexed citations
14.
Jong, Kees H. de, Elena Marchiori, & Aad van der Vaart. (2003). Finding Clusters using Support Vector Classifiers. The European Symposium on Artificial Neural Networks. 223–228. 8 indexed citations
15.
Boellaard, Ronald, Odile A. van den Heuvel, Dick J. Veltman, et al.. (2003). Effects of attenuation correction and reconstruction method on PET activation studies. NeuroImage. 20(2). 898–908. 9 indexed citations
16.
Klaassen, Chris A. J., et al.. (2001). State of the art in probability and statistics : Festschrift for Willem R. van Zwet. 2 indexed citations
17.
Murphy, Susan A., Aad van der Vaart, & Jon A. Wellner. (1999). Current Status Regression. Mathematical Methods of Statistics. 8. 407–425. 15 indexed citations
18.
Murphy, Susan A. & Aad van der Vaart. (1998). Observed Information in Semiparametric Models. Deep Blue (University of Michigan). 1 indexed citations
19.
Murphy, Susan A. & Aad van der Vaart. (1996). SEMIPARAMETRIC LIKELIHOOD RATIO INFERENCE. Deep Blue (University of Michigan). 1 indexed citations
20.
Vaart, Aad van der. (1988). Statistical estimation in large parameter spaces. 44. 1–205. 53 indexed citations

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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