Andrea Bommert
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Biomedical Engineering
- Co-authors
- Jörg RahnenführerMichel LangXudong SunBernd BischlThomas WelchowskiMatthias SchmidFranziska KappenbergAlla Slynko
- Topics
- Machine Learning and Data Classification (5 papers)Gene expression and cancer classification (3 papers)Statistical Methods and Inference (2 papers)
In The Last Decade
Andrea Bommert
7 papers receiving 569 citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 251
- Molecular Biology 121
- Computer Vision and Pattern Recognition 97
- Information Systems 51
- Biomedical Engineering 40
Countries citing papers authored by Andrea Bommert
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).
Fields of papers citing papers by Andrea Bommert
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.
Co-authorship network of co-authors of Andrea Bommert
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Bommert. A scholar is included among the top collaborators of Andrea Bommert 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 Andrea Bommert. Andrea Bommert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 103 | |
| 6 | 5 | |
| 7 | Benchmark for filter methods for feature selection in high-dimensional classification databreakdown → | 458 |
| 8 | 10 |
About Andrea Bommert
Andrea Bommert is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing, having authored 8 papers that have together received 583 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (5 papers), Gene expression and cancer classification (3 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Artificial Intelligence (251 citations), Health Information Management (34 citations) and Computer Vision and Pattern Recognition (97 citations). Andrea Bommert has collaborated with scholars based in Germany and Canada. Frequent co-authors include Jörg Rahnenführer, Michel Lang, Xudong Sun, Bernd Bischl, Thomas Welchowski, Matthias Schmid, Franziska Kappenberg, Alla Slynko, Axel Benner and Nicholas Schreck. Their work appears in journals such as PLoS ONE, Briefings in Bioinformatics and Computational Statistics & Data Analysis.
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.