# Thomas Unterthiner

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/thomas-unterthiner/

## Facts

| Field | Value |
| --- | --- |
| Citations | 39,403 |
| Field | Advanced Neural Network Applications |
| h-index | 29 |
| i10-index | 35 |
| OpenAlex ID | https://openalex.org/A5083016682 |
| ORCID iD | https://orcid.org/0000-0001-5361-3087 |
| Works | 61 |

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)
- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.