Angelika van der Linde

27 papers and 9.8k indexed citations i.

About

Angelika van der Linde is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Angelika van der Linde has authored 27 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 8 papers in Applied Mathematics. Recurrent topics in Angelika van der Linde’s work include Advanced Statistical Methods and Models (10 papers), Statistical Methods and Bayesian Inference (10 papers) and Bayesian Methods and Mixture Models (9 papers). Angelika van der Linde is often cited by papers focused on Advanced Statistical Methods and Models (10 papers), Statistical Methods and Bayesian Inference (10 papers) and Bayesian Methods and Mixture Models (9 papers). Angelika van der Linde collaborates with scholars based in Germany, United Kingdom and United States. Angelika van der Linde's co-authors include Nicola Best, Bradley P. Carlin, David J. Spiegelhalter, David Spiegelhalter, Martin Sarter, Daniel Peña, Gerhard Tutz and Karl‐Heinz Jöckel and has published in prestigious journals such as Biometrics, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Angelika van der Linde i

Fields of papers citing papers by Angelika van der Linde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angelika van der Linde

Since Specialization
Citations

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