Soeren Sonnenburg

About

Soeren Sonnenburg is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Soeren Sonnenburg has authored 5 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Soeren Sonnenburg’s work include Machine Learning and Data Classification (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Face and Expression Recognition (1 paper). Soeren Sonnenburg is often cited by papers focused on Machine Learning and Data Classification (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Face and Expression Recognition (1 paper). Soeren Sonnenburg collaborates with scholars based in Germany and Czechia. Soeren Sonnenburg's co-authors include Vojtěch Franc, Gunnar Rätsch, Bernhard Schölkopf, Cheng Soon Ong, Georg Zeller, Gabriele Schweikert and Alexander Zien and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Soeren Sonnenburg i

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Fields of papers citing papers by Soeren Sonnenburg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soeren Sonnenburg

Since Specialization

Citations

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