Marloes H. Maathuis

58 papers and 2.2k indexed citations i.

About

Marloes H. Maathuis is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Marloes H. Maathuis has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 26 papers in Statistics and Probability and 7 papers in Molecular Biology. Recurrent topics in Marloes H. Maathuis’s work include Bayesian Modeling and Causal Inference (22 papers), Statistical Methods and Inference (17 papers) and Advanced Causal Inference Techniques (13 papers). Marloes H. Maathuis is often cited by papers focused on Bayesian Modeling and Causal Inference (22 papers), Statistical Methods and Inference (17 papers) and Advanced Causal Inference Techniques (13 papers). Marloes H. Maathuis collaborates with scholars based in Switzerland, United States and United Kingdom. Marloes H. Maathuis's co-authors include Diego Colombo, Markus Kalisch, Peter Bühlmann, Martin Mächler, Mathias Drton, Thomas S. Richardson, Nicolai Meinshausen, Preetam Nandy, Christina Heinze‐Deml and Jon A. Wellner and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Marloes H. Maathuis i

Fields of papers citing papers by Marloes H. Maathuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marloes H. Maathuis. 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 Marloes H. Maathuis. The network helps show where Marloes H. Maathuis may publish in the future.

Countries citing papers authored by Marloes H. Maathuis

Since Specialization
Citations

This map shows the geographic impact of Marloes H. Maathuis'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 Marloes H. Maathuis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marloes H. Maathuis 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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