Jörg Bornschein

2.5k total citations
7 papers, 44 citations indexed

About

Jörg Bornschein is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jörg Bornschein has authored 7 papers receiving a total of 44 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Jörg Bornschein's work include Generative Adversarial Networks and Image Synthesis (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Machine Learning and Algorithms (2 papers). Jörg Bornschein is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Machine Learning and Algorithms (2 papers). Jörg Bornschein collaborates with scholars based in Germany, Canada and United States. Jörg Bornschein's co-authors include Jörg Lücke, Simon Osindero, Yoshua Bengio, Asja Fischer, Francesco Visin, Danilo Jimenez Rezende, Daniel Zoran and Andriy Mnih and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and arXiv (Cornell University).

In The Last Decade

Jörg Bornschein

6 papers receiving 43 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Bornschein Germany 5 20 13 12 12 3 7 44
Aditya Kusupati United States 4 12 0.6× 13 1.0× 19 1.6× 12 1.0× 12 44
Ishaan Gulrajani United States 2 32 1.6× 24 1.8× 39 3.3× 6 0.5× 4 1.3× 5 63
P. Bauer Germany 4 8 0.4× 12 0.9× 10 0.8× 6 0.5× 6 33
Bastiaan S. Veeling Netherlands 4 24 1.2× 7 0.5× 18 1.5× 3 0.3× 6 49
John Thickstun United States 3 14 0.7× 16 1.2× 16 1.3× 5 0.4× 6 30
Darius Afchar Austria 2 17 0.8× 19 1.5× 14 1.2× 5 0.4× 3 38
Wilka Carvalho United States 3 37 1.9× 5 0.4× 13 1.1× 3 0.3× 2 0.7× 3 53
Takuya Kobayashi Japan 5 16 0.8× 14 1.1× 42 3.5× 10 0.8× 8 67
Kamel Aloui Tunisia 4 7 0.3× 11 0.8× 8 0.7× 14 1.2× 1 0.3× 15 42

Countries citing papers authored by Jörg Bornschein

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Bornschein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Bornschein

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

All Works

7 of 7 papers shown
1.
Bornschein, Jörg, Francesco Visin, & Simon Osindero. (2020). Small Data, Big Decisions: Model Selection in the Small-Data Regime. arXiv (Cornell University). 1. 1035–1044. 6 indexed citations
2.
Bornschein, Jörg, Andriy Mnih, Daniel Zoran, & Danilo Jimenez Rezende. (2017). Variational Memory Addressing in Generative Models. Neural Information Processing Systems. 30. 3920–3929. 4 indexed citations
3.
Bornschein, Jörg, et al.. (2016). Bidirectional Helmholtz machines. International Conference on Machine Learning. 2511–2519. 6 indexed citations
4.
Bornschein, Jörg, et al.. (2015). Training opposing directed models using geometric mean matching.. arXiv (Cornell University).
5.
Bornschein, Jörg, et al.. (2015). Nonlinear Spike-And-Slab Sparse Coding for Interpretable Image Encoding. PLoS ONE. 10(5). e0124088–e0124088. 9 indexed citations
6.
Bornschein, Jörg, et al.. (2013). Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study. PLoS Computational Biology. 9(6). e1003062–e1003062. 14 indexed citations
7.
Bornschein, Jörg, et al.. (2010). Approximate EM Learning on Large Computer Clusters. 5 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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