# Joel Saltz

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/joel-saltz/

## Facts

| Field | Value |
| --- | --- |
| Citations | 20,996 |
| Field | AI in cancer detection |
| h-index | 63 |
| i10-index | 294 |
| OpenAlex ID | https://openalex.org/A5072946826 |
| ORCID iD | https://orcid.org/0000-0002-3451-2165 |
| Works | 651 |

## Researcher papers

- [Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images](https://scholariq.org/papers/spatial-organization-and-molecular-correlation-of-tumor-infiltrating-lymphocytes/)
- [The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment](https://scholariq.org/papers/the-national-covid-cohort-collaborative-n3c-rationale-design-infrastructure-and/)
- [Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative](https://scholariq.org/papers/clinical-characterization-and-prediction-of-clinical-severity-of-sars-cov-2/)

## Researcher topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Parallel Computing and Optimization Techniques](https://scholariq.org/topics/parallel-computing-and-optimization-techniques/)
- [Distributed and Parallel Computing Systems](https://scholariq.org/topics/distributed-and-parallel-computing-systems/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced Data Storage Technologies](https://scholariq.org/topics/advanced-data-storage-technologies/)

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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.