Thomas Unterthiner

38.8k citations
22 papers · 3.7k indexed · 5 hit papers · h-index 13
Topics
Machine Learning in Materials Science (4 papers)Computational Drug Discovery Methods (4 papers)Advanced Neural Network Applications (4 papers)

In The Last Decade

Thomas Unterthiner

21 papers receiving 3.6k citations

Hit Papers

GANs Trained by a Two Time-Scale Update Rule Converge to ...20162026201920222017201620182021202450010001.5k

Peers

Thomas Unterthiner
Comparison fields: 5 of 170
  • Computer Vision and Pattern Recognition 2.0k
  • Computational Theory and Mathematics 854
  • Artificial Intelligence 814
  • Molecular Biology 654
  • Materials Chemistry 493
Replace Emanuele Rodolà with:
Emanuele Rodolà Italy
Zhangyang Wang United States
Andrew Delong Canada
Federico Monti Italy
Jon Rokne Canada
Jiahui Yu China
Jie Gui China
Barnabás Póczos United States
Thomas Unterthiner relative to Emanuele Rodolà Italy Emanuele Rodolà's profile →
Citations per field
00.5×3.5×
Emanuele Rodolà · 1×
Citations per year

Countries citing papers authored by Thomas Unterthiner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Unterthiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Unterthiner

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragmentsbreakdown →
67
3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
143
4 1
5
Understanding Robustness of Transformers for Image Classificationbreakdown →
227
6
Object-Centric Learning with Slot Attention
13
7
FVD: A new Metric for Video Generation
27
8
RUDDER: Return Decomposition for Delayed Rewards
7
9
Fréchet ChemblNet Distance: A metric for generative models for molecules.
2
10
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
6
11
Large-scale comparison of machine learning methods for drug target prediction on ChEMBLbreakdown →
352
12
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibriumbreakdown →
1986
13 5
14 30
15
Speeding up Semantic Segmentation for Autonomous Driving
165
16
Rectified factor networks
2
17 5
18 15
19 18
20 37

About Thomas Unterthiner

Thomas Unterthiner is a scholar working on Structural Biology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 22 papers that have together received 3.7k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Computer Graphics and Computer-Aided Design (213 citations) and Computational Theory and Mathematics (854 citations). Thomas Unterthiner has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Sepp Hochreiter, Martin Heusel, Bernhard Nessler, Hubert Ramsauer, Andreas Mayr, Günter Klambauer, Djork-Arné Clevert, Marvin Steijaert, Hugo Ceulemans and Jörg K. Wegner. Their work appears in journals such as Nature, Nucleic Acids Research and Bioinformatics.

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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