Hubert Ramsauer

9.0k total citations · 1 hit paper
4 papers, 2.1k citations indexed

About

Hubert Ramsauer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Hubert Ramsauer has authored 4 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Hubert Ramsauer's work include Generative Adversarial Networks and Image Synthesis (2 papers), Topology Optimization in Engineering (1 paper) and Machine Learning in Bioinformatics (1 paper). Hubert Ramsauer is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Topology Optimization in Engineering (1 paper) and Machine Learning in Bioinformatics (1 paper). Hubert Ramsauer collaborates with scholars based in Austria. Hubert Ramsauer's co-authors include Sepp Hochreiter, Martin Heusel, Bernhard Nessler, Thomas Unterthiner, Günter Klambauer, Michael Kopp, Thomas Adler, Michael Widrich, Johannes M. Lehner and Philipp Seidl and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Hubert Ramsauer

4 papers receiving 2.0k citations

Hit Papers

GANs Trained by a Two Time-Scale Update Rule Converge to ... 2017 2026 2020 2023 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hubert Ramsauer Austria 3 1.6k 506 208 135 134 4 2.1k
Martin Heusel Austria 6 1.7k 1.1× 585 1.2× 208 1.0× 137 1.0× 139 1.0× 6 2.5k
Richard Zhang United States 23 2.3k 1.4× 779 1.5× 272 1.3× 164 1.2× 159 1.2× 51 3.0k
Andrew Tao United States 6 2.3k 1.4× 436 0.9× 315 1.5× 130 1.0× 241 1.8× 11 2.8k
Tim Salimans United States 8 1.2k 0.8× 673 1.3× 107 0.5× 169 1.3× 285 2.1× 14 2.0k
Dacheng Tao Australia 24 2.1k 1.3× 921 1.8× 100 0.5× 138 1.0× 308 2.3× 54 2.9k
Augustus Odena United States 6 1.4k 0.9× 576 1.1× 90 0.4× 180 1.3× 278 2.1× 10 2.1k
Anyi Rao Hong Kong 9 1.2k 0.7× 744 1.5× 316 1.5× 228 1.7× 81 0.6× 19 2.1k
Adrian G. Borş United Kingdom 25 1.2k 0.8× 522 1.0× 280 1.3× 239 1.8× 99 0.7× 130 1.8k
Pengchuan Zhang United States 16 2.6k 1.6× 1.3k 2.6× 160 0.8× 102 0.8× 134 1.0× 33 3.2k
Bernhard Nessler Austria 10 1.7k 1.1× 735 1.5× 208 1.0× 148 1.1× 137 1.0× 14 2.8k

Countries citing papers authored by Hubert Ramsauer

Since Specialization
Citations

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

Fields of papers citing papers by Hubert Ramsauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hubert Ramsauer

This figure shows the co-authorship network connecting the top 25 collaborators of Hubert Ramsauer. A scholar is included among the top collaborators of Hubert Ramsauer 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 Hubert Ramsauer. Hubert Ramsauer 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.
Ramsauer, Hubert, Johannes M. Lehner, Philipp Seidl, et al.. (2021). Hopfield Networks is All You Need. 77 indexed citations
2.
Ramsauer, Hubert, et al.. (2019). A GAN based solver of black-box inverse problems. 1 indexed citations
3.
Unterthiner, Thomas, Bernhard Nessler, Günter Klambauer, et al.. (2018). Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. International Conference on Learning Representations. 6 indexed citations
4.
Heusel, Martin, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, & Sepp Hochreiter. (2017). GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. arXiv (Cornell University). 30. 6626–6637. 1986 indexed citations breakdown →

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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