Andrea Bommert

17 total papers · 907 total citations
9 papers, 570 citations indexed

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 9 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 7 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), Statistical Methods and Inference (3 papers) and Gene expression and cancer classification (3 papers). Andrea Bommert is often cited by papers focused on Machine Learning and Data Classification (6 papers), Statistical Methods and Inference (3 papers) and Gene expression and cancer classification (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, Franziska Kappenberg, Nicholas Schreck, 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

Andrea Bommert

7 papers receiving 556 citations

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrea Bommert 246 120 94 51 40 9 570
Utkarsh Mahadeo Khaire 250 1.0× 73 0.6× 90 1.0× 36 0.7× 47 1.2× 13 504
Shih-Wen Ke 244 1.0× 111 0.9× 66 0.7× 59 1.2× 29 0.7× 11 623
Laura Elena Raileanu 210 0.9× 77 0.6× 106 1.1× 55 1.1× 34 0.8× 12 563
Zhen Yang 186 0.8× 68 0.6× 105 1.1× 27 0.5× 28 0.7× 13 574
Mohamed Bennasar 282 1.1× 95 0.8× 209 2.2× 55 1.1× 59 1.5× 17 657
I C G Campbell 427 1.7× 82 0.7× 183 1.9× 48 0.9× 20 0.5× 10 667
Su-Wen Huang 157 0.6× 47 0.4× 64 0.7× 48 0.9× 40 1.0× 9 605
Saúl Solorio-Fernández 361 1.5× 82 0.7× 212 2.3× 66 1.3× 25 0.6× 8 653
Simon Bernard 181 0.7× 80 0.7× 84 0.9× 31 0.6× 28 0.7× 16 507
Pablo Bermejo 329 1.3× 77 0.6× 135 1.4× 92 1.8× 29 0.7× 26 583

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).

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.

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.

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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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