Soeren Sonnenburg

15 total papers · 421 total citations
5 papers, 230 citations indexed

About

Soeren Sonnenburg is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Soeren Sonnenburg has authored 5 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Soeren Sonnenburg's work include Machine Learning and Data Classification (2 papers), Machine Learning in Bioinformatics (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Soeren Sonnenburg is often cited by papers focused on Machine Learning and Data Classification (2 papers), Machine Learning in Bioinformatics (1 paper) and Advanced Image and Video Retrieval Techniques (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, Gabriele Schweikert, Alexander Zien and Georg Zeller and has published in prestigious journals such as Nucleic Acids Research, Computer applications in the biosciences and Max Planck Institute for Plasma Physics.

In The Last Decade

Soeren Sonnenburg

5 papers receiving 215 citations

Author Peers

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

Author						Papers	Cites
Soeren Sonnenburg	111	95	64	28	16	5	230
Nicki Skafte Detlefsen	80 0.7×	47 0.5×	35 0.5×	7 0.3×	19 1.2×	5	189
Su-In Lee	32 0.3×	95 1.0×	41 0.6×	7 0.3×	13 0.8×	3	150
Maxim Grechkin	49 0.4×	59 0.6×	27 0.4×	6 0.2×	16 1.0×	6	185
Chase Krumpelman	80 0.7×	95 1.0×	30 0.5×	4 0.1×	28 1.8×	9	217
Nino Shervashidze	35 0.3×	121 1.3×	80 1.3×	11 0.4×	22 1.4×	7	281
Markus Maier	23 0.2×	113 1.2×	87 1.4×	12 0.4×	21 1.3×	4	186
Julian Laub	47 0.4×	144 1.5×	132 2.1×	25 0.9×	61 3.8×	5	292
Chun‐Chen Tu	27 0.2×	185 1.9×	51 0.8×	13 0.5×	39 2.4×	5	202
Stanislau Semeniuta	18 0.2×	103 1.1×	84 1.3×	8 0.3×	18 1.1×	7	187
Naiyang Guan	39 0.4×	62 0.7×	218 3.4×	49 1.8×	37 2.3×	12	318

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).

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.

Co-authorship network of co-authors of Soeren Sonnenburg

This figure shows the co-authorship network connecting the top 25 collaborators of Soeren Sonnenburg. A scholar is included among the top collaborators of Soeren Sonnenburg 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 Soeren Sonnenburg. Soeren Sonnenburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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