Benito van der Zander

10 papers and 1.4k indexed citations i.

About

Benito van der Zander is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Benito van der Zander has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 2 papers in Computer Networks and Communications. Recurrent topics in Benito van der Zander’s work include Bayesian Modeling and Causal Inference (9 papers), Advanced Causal Inference Techniques (5 papers) and Statistical Methods and Inference (3 papers). Benito van der Zander is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Advanced Causal Inference Techniques (5 papers) and Statistical Methods and Inference (3 papers). Benito van der Zander collaborates with scholars based in Germany, The Netherlands and United Kingdom. Benito van der Zander's co-authors include Maciej Liśkiewicz, Johannes Textor, Mark S. Gilthorpe, George T. H. Ellison and Markus Bläser and has published in prestigious journals such as International Journal of Epidemiology, Artificial Intelligence and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Benito van der Zander i

Fields of papers citing papers by Benito van der Zander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benito van der Zander

Since Specialization
Citations

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