# George Hripcsak

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/george-hripcsak/

## Facts

| Field | Value |
| --- | --- |
| Citations | 30,297 |
| Field | Biomedical Text Mining and Ontologies |
| h-index | 83 |
| i10-index | 345 |
| Last Known Institution | United States Department of Veterans Affairs |
| OpenAlex ID | https://openalex.org/A5053670656 |
| ORCID iD | https://orcid.org/0000-0003-2664-7614 |
| Works | 684 |

## Researcher papers

- [Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series](https://scholariq.org/papers/characterization-and-clinical-course-of-1000-patients-with-coronavirus-disease/)
- [Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study](https://scholariq.org/papers/risk-of-hydroxychloroquine-alone-and-in-combination-with-azithromycin-in-the/)

## Researcher topics

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling-2/)

## Researcher university

- [United States Department of Veterans Affairs](https://scholariq.org/institutions/united-states-department-of-veterans-affairs/)

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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.
