Benito van der Zander
- Public Health, Environmental and Occupational Health top 5%
- Health, Toxicology and Mutagenesis top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Epidemiology
- Surgery
- Co-authors
- Maciej LiśkiewiczJohannes TextorMark S. GilthorpeGeorge T. H. EllisonGeorge FlorosBastian LeibeMarkus Bläser
- Topics
- Bayesian Modeling and Causal Inference (9 papers)Advanced Causal Inference Techniques (5 papers)Statistical Methods and Inference (3 papers)
- Journals
- International Journal of EpidemiologyArtificial IntelligenceInternational Conference on Artificial Intelligence and Statistics
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Benito van der Zander
10 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Public Health, Environmental and Occupational Health 288
- Health, Toxicology and Mutagenesis 266
- Pediatrics, Perinatology and Child Health 199
- Epidemiology 169
- Surgery 135
Countries citing papers authored by Benito van der Zander
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).
Fields of papers citing papers by Benito van der Zander
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.
Co-authorship network of co-authors of Benito van der Zander
This figure shows the co-authorship network connecting the top 25 collaborators of Benito van der Zander. A scholar is included among the top collaborators of Benito van der Zander 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 Benito van der Zander. Benito van der Zander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | Finding Minimal d-separators in Linear Time and Applications. | 1 |
| 4 | 14 | |
| 5 | On Searching for Generalized Instrumental Variables | 6 |
| 6 | Robust causal inference using directed acyclic graphs: the R package ‘dagitty’breakdown → | 1526 |
| 7 | 10 | |
| 8 | Efficiently finding conditional instruments for causal inference | 9 |
| 9 | 0 | |
| 10 | Constructing separators and adjustment sets in ancestral graphs | 30 |
| 11 | 106 |
About Benito van der Zander
Benito van der Zander is a scholar working on Statistics and Probability, Artificial Intelligence and History and Philosophy of Science, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Advanced Causal Inference Techniques (5 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (266 citations), Statistics and Probability (120 citations) and Speech and Hearing (73 citations). Benito van der Zander has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Maciej Liśkiewicz, Johannes Textor, Mark S. Gilthorpe, George T. H. Ellison, George Floros, Bastian Leibe and Markus Bläser. Their work appears in journals such as International Journal of Epidemiology, Artificial Intelligence and International Conference on Artificial Intelligence and Statistics.
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.