Jörg Bornschein

2.6k citations
16 papers · 1.6k · h-index 11

Impact in

Papers in

Jörg Bornschein

15 papers receiving 1.5k citations

Peers

Jörg Bornschein
Comparison fields: 5 of 43
  • Nuclear and High Energy Physics 1.5k
  • Astronomy and Astrophysics 86
  • Statistical and Nonlinear Physics 53
  • Statistics and Probability 22
  • Signal Processing 23
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Lukasz Mik Poland
Mai Thi-Huyen Nguyen Sweden
David Cline Austria
P. Alvarez Sanchez Italy
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Philipp Arras Germany
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Jan M. Kratochvil United States
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Citations per field
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Citations per year

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-authors

The 22 scholars most cited alongside Jörg Bornschein, 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 Jörg Bornschein Line = papers co-authored together Jörg Bornschein links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2013294
2 2013237
3 2013219
4 2013205
5 2014169
6 2014168
7 2014107
8 201477
9 201322
10 201017
11 201316
12 20159
13
Bidirectional Helmholtz machines
20166
14
Approximate EM Learning on Large Computer Clusters
20105
15
Variational Memory Addressing in Generative Models
20173
16 20240

About Jörg Bornschein

Jörg Bornschein is a scholar working on Nuclear and High Energy Physics, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (9 papers), Particle physics theoretical and experimental studies (9 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Blind Source Separation Techniques (2 papers), Neural dynamics and brain function (2 papers) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.5k citations), Astronomy and Astrophysics (86 citations), Statistical and Nonlinear Physics (53 citations), Statistics and Probability (22 citations) and Signal Processing (23 citations). Jörg Bornschein has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Jörg Lücke, Julian P. Eggert, Samira Shabanian, Yoshua Bengio, Asja Fischer, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende, Nino Vieillard and Guillaume Desjardins. Their work appears in journals such as Physics Letters B, Journal of High Energy Physics, PLoS ONE, PLoS Computational Biology and Physical Review Letters.

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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