Sören Sonnenburg

4.1k citations
27 papers · 3.0k · 1 hit paper · h-index 20

Impact in

Papers in

Sören Sonnenburg

27 papers receiving 2.9k citations

Sören Sonnenburg's Hit Papers

Large Scale Multiple Kernel Learning 2006 · 957 citations
9570+6+13Years since publication250500750

Peers

Sören Sonnenburg
Comparison fields: 5 of 174
  • Computer Vision and Pattern Recognition 922
  • Artificial Intelligence 1.2k
  • Signal Processing 212
  • Media Technology 143
  • Molecular Biology 943
Replace Andrew B. Goldberg with:
Andrew B. Goldberg United States
Mahesan Niranjan United Kingdom
Maurizio Filippone United Kingdom
Nigel Duffy United States
Yuhong Guo United States
Isabelle Guyon France
Qingcai Chen China
Takio Kurita Japan
Si Wu China
David J. Miller United States
Sören Sonnenburg relative to Andrew B. Goldberg United States Andrew B. Goldberg's profile →
Citations per field
00.5×2×3×4×4.7×
Andrew B. Goldberg · 1×
Citations per year

Countries citing papers authored by Sören Sonnenburg

Since Specialization
Citations

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

Fields of papers citing papers by Sören Sonnenburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sören Sonnenburg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sören Sonnenburg Line = papers co-authored together Sören Sonnenburg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large Scale Multiple Kernel Learning
Hit paper breakdown →
2006957
2 2008552
3
The SHOGUN Machine Learning Toolbox
2010189
4 2007139
5
The Need for Open Source Software in Machine Learning
2007135
6 2009123
7
A general and efficient multiple kernel learning algorithm
2005120
8 2002101
9 200691
10 200673
11 200569
12 200260
13
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
200956
14 201653
15 200750
16 200850
17 200448
18 200539
19 200736
20
Non-Sparse Regularization and Efficient Training with Multiple Kernels
201026

About Sören Sonnenburg

Sören Sonnenburg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Aging and Control and Systems Engineering, having authored 27 papers that have together received 3.0k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (10 papers), Face and Expression Recognition (6 papers), Gene expression and cancer classification (5 papers), Algorithms and Data Compression (4 papers), Machine Learning and Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Neural Networks and Applications (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (922 citations), Artificial Intelligence (1.2k citations), Signal Processing (212 citations), Media Technology (143 citations) and Molecular Biology (943 citations). Sören Sonnenburg has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Gunnar Rätsch, Bernhard Schölkopf, Christin Schäfer, Cheng Soon Ong, Asa Ben‐Hur, Alexander Zien, Klaus- Robert Müller, Jonas Behr, Vojtěch Franc and Petra Philips. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, BMC Bioinformatics, PLoS ONE and Journal of Chemical Information and Modeling.

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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