Aad van der Vaart

140 papers and 9.3k indexed citations i.

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 140 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Statistics and Probability, 55 papers in Artificial Intelligence and 19 papers in Molecular Biology. Recurrent topics in Aad van der Vaart’s work include Statistical Methods and Inference (74 papers), Bayesian Methods and Mixture Models (47 papers) and Statistical Methods and Bayesian Inference (31 papers). Aad van der Vaart is often cited by papers focused on Statistical Methods and Inference (74 papers), Bayesian Methods and Mixture Models (47 papers) and Statistical Methods and Bayesian Inference (31 papers). Aad van der Vaart collaborates with scholars based in The Netherlands, United States and Slovakia. Aad van der Vaart's co-authors include Jon A. Wellner, Susan A. Murphy, Subhashis Ghosal, J. H. van Zanten, Thomas Mikosch, B. J. K. Kleijn, Jayanta K. Ghosh, Ismaël Castillo, James M. Robins and Valérie Ventura and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and NeuroImage.

In The Last Decade

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

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.

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).

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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