Andrea Bommert

8 papers and 468 indexed citations i.

About

Andrea Bommert is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Andrea Bommert has authored 8 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Andrea Bommert’s work include Machine Learning and Data Classification (6 papers), Gene expression and cancer classification (3 papers) and Statistical Methods and Inference (3 papers). Andrea Bommert is often cited by papers focused on Machine Learning and Data Classification (6 papers), Gene expression and cancer classification (3 papers) and Statistical Methods and Inference (3 papers). Andrea Bommert collaborates with scholars based in Germany and Canada. Andrea Bommert's co-authors include Jörg Rahnenführer, Michel Lang, Xudong Sun, Bernd Bischl, Thomas Welchowski, Matthias Schmid, Alla Slynko and Axel Benner and has published in prestigious journals such as PLoS ONE, Briefings in Bioinformatics and Computational Statistics & Data Analysis.

In The Last Decade

Co-authorship network of co-authors of Andrea Bommert i

Fields of papers citing papers by Andrea Bommert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Bommert

Since Specialization
Citations

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