Gerda Claeskens

130 papers and 3.1k indexed citations i.

About

Gerda Claeskens is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Gerda Claeskens has authored 130 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Statistics and Probability, 40 papers in Artificial Intelligence and 12 papers in Management Science and Operations Research. Recurrent topics in Gerda Claeskens’s work include Statistical Methods and Inference (83 papers), Advanced Statistical Methods and Models (43 papers) and Statistical Methods and Bayesian Inference (40 papers). Gerda Claeskens is often cited by papers focused on Statistical Methods and Inference (83 papers), Advanced Statistical Methods and Models (43 papers) and Statistical Methods and Bayesian Inference (40 papers). Gerda Claeskens collaborates with scholars based in Belgium, United States and The Netherlands. Gerda Claeskens's co-authors include Nils Lid Hjort, Marc Aerts, Jean D. Opsomer, Tatyana Krivobokova, Ingrid Van Keilegom, Christophe Croux, Jeffrey D. Hart, F. Jay Breidt, Andrey L. Vasnev and Bart Baesens and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Gerda Claeskens i

Fields of papers citing papers by Gerda Claeskens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerda Claeskens. 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 Gerda Claeskens. The network helps show where Gerda Claeskens may publish in the future.

Countries citing papers authored by Gerda Claeskens

Since Specialization
Citations

This map shows the geographic impact of Gerda Claeskens'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 Gerda Claeskens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerda Claeskens 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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2025