Bernhard Sch lkopf

1.4k total citations
4 papers, 234 citations indexed

About

Bernhard Sch lkopf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Bernhard Sch lkopf has authored 4 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Bernhard Sch lkopf's work include Neural Networks and Applications (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Machine Learning and Algorithms (2 papers). Bernhard Sch lkopf is often cited by papers focused on Neural Networks and Applications (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Machine Learning and Algorithms (2 papers). Bernhard Sch lkopf collaborates with scholars based in Germany, Netherlands and Czechia. Bernhard Sch lkopf's co-authors include Manuel Gomez-Rodriguez, Dominik Janzing, Eleni Sgouritsa, Joris M. Mooij, Kun Zhang, Jonas Peters, Vojtěch Franc, Alexander Zien and Patrik O. Hoyer and has published in prestigious journals such as ArXiv.org, Max Planck Institute for Plasma Physics and arXiv (Cornell University).

In The Last Decade

Bernhard Sch lkopf

4 papers receiving 225 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernhard Sch lkopf Germany 4 147 68 40 23 21 4 234
Danil Nemirovsky France 6 86 0.6× 91 1.3× 36 0.9× 25 1.1× 62 3.0× 10 189
Beyza Ermiş Türkiye 7 88 0.6× 40 0.6× 24 0.6× 13 0.6× 17 0.8× 18 172
Lazhar Labiod France 8 165 1.1× 65 1.0× 84 2.1× 19 0.8× 7 0.3× 25 218
Anand Louis United States 7 97 0.7× 64 0.9× 37 0.9× 9 0.4× 24 1.1× 15 197
Matthew J. Rattigan United States 8 139 0.9× 162 2.4× 34 0.8× 32 1.4× 81 3.9× 15 262
Rupkumar Mahapatra India 8 58 0.4× 45 0.7× 32 0.8× 41 1.8× 23 1.1× 17 201
Ali Pinar United States 3 83 0.6× 148 2.2× 43 1.1× 25 1.1× 70 3.3× 4 205
Yongduo Sui China 7 187 1.3× 15 0.2× 39 1.0× 14 0.6× 12 0.6× 17 228
Zhongfei Mark Zhang United States 7 139 0.9× 59 0.9× 80 2.0× 24 1.0× 20 1.0× 9 229

Countries citing papers authored by Bernhard Sch lkopf

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Sch lkopf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernhard Sch lkopf. 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 Bernhard Sch lkopf. The network helps show where Bernhard Sch lkopf may publish in the future.

Co-authorship network of co-authors of Bernhard Sch lkopf

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

All Works

4 of 4 papers shown
1.
Janzing, Dominik, Jonas Peters, Eleni Sgouritsa, et al.. (2012). On causal and anticausal learning. International Conference on Machine Learning. 459–466. 104 indexed citations
2.
Gomez-Rodriguez, Manuel & Bernhard Sch lkopf. (2012). Influence Maximization in Continuous Time Diffusion Networks. arXiv (Cornell University). 579–586. 77 indexed citations
3.
Franc, Vojtěch, Alexander Zien, & Bernhard Sch lkopf. (2011). Support Vector Machines as Probabilistic Models. Max Planck Institute for Plasma Physics. 665–672. 31 indexed citations
4.
Janzing, Dominik, Patrik O. Hoyer, & Bernhard Sch lkopf. (2009). Telling cause from effect based on high-dimensional observations. ArXiv.org. 479–486. 22 indexed citations

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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