# Paris Perdikaris

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/paris-perdikaris/

## Facts

| Field | Value |
| --- | --- |
| Citations | 41,255 |
| Field | Model Reduction and Neural Networks |
| h-index | 53 |
| i10-index | 78 |
| OpenAlex ID | https://openalex.org/A5002562845 |
| ORCID iD | https://orcid.org/0000-0002-2816-3229 |
| Works | 160 |

## Researcher papers

- [Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences](https://scholariq.org/papers/integrating-machine-learning-and-multiscale-modeling-perspectives-challenges-and/)
- [Multiscale modeling meets machine learning: What can we learn?](https://scholariq.org/papers/multiscale-modeling-meets-machine-learning-what-can-we-learn/)

## Researcher topics

- [Model Reduction and Neural Networks](https://scholariq.org/topics/model-reduction-and-neural-networks/)
- [Gaussian Processes and Bayesian Inference](https://scholariq.org/topics/gaussian-processes-and-bayesian-inference/)
- [Fluid Dynamics and Turbulent Flows](https://scholariq.org/topics/fluid-dynamics-and-turbulent-flows/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)
- [Probabilistic and Robust Engineering Design](https://scholariq.org/topics/probabilistic-and-robust-engineering-design/)

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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.