# Stefan Schulz

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/stefan-schulz/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,781 |
| Field | Biomedical Text Mining and Ontologies |
| h-index | 27 |
| i10-index | 103 |
| Last Known Institution | Medical University of Graz |
| OpenAlex ID | https://openalex.org/A5101773732 |
| ORCID iD | 0000-0001-7222-3287 |
| Works | 304 |

## Researcher papers

- [Proceedings of the AMIA Symposium](https://scholariq.org/papers/proceedings-of-the-amia-symposium/)
- [BioTop: An upper domain ontology for the life sciences](https://scholariq.org/papers/biotop-an-upper-domain-ontology-for-the-life-sciences/)
- [The Chemistry of Pheromones and Other Semiochemicals II](https://scholariq.org/papers/the-chemistry-of-pheromones-and-other-semiochemicals-ii/)
- [CREATING KNOWLEDGE REPOSITORIES FROM BIOMEDICAL REPORTS: THE MEDSYNDIKATE TEXT MINING SYSTEM](https://scholariq.org/papers/creating-knowledge-repositories-from-biomedical-reports-the-medsyndikate-text/)
- [SNOMED reaching its adolescence: Ontologists’ and logicians’ health check](https://scholariq.org/papers/snomed-reaching-its-adolescence-ontologists-and-logicians-health-check/)
- [Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study](https://scholariq.org/papers/risk-prediction-of-delirium-in-hospitalized-patients-using-machine-learning-an/)
- [Standards in Healthcare Data](https://scholariq.org/papers/standards-in-healthcare-data/)
- [Current approaches to identify sections within clinical narratives from electronic health records: a systematic review](https://scholariq.org/papers/current-approaches-to-identify-sections-within-clinical-narratives-from/)
- [How knowledge drives understanding—matching medical ontologies with the needs of medical language processing](https://scholariq.org/papers/how-knowledge-drives-understanding-matching-medical-ontologies-with-the-needs-of/)
- [Gene Regulation Ontology (GRO): design principles and use cases.](https://scholariq.org/papers/gene-regulation-ontology-gro-design-principles-and-use-cases/)
- [Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study](https://scholariq.org/papers/technology-acceptance-of-a-machine-learning-algorithm-predicting-delirium-in-a/)

## Researcher topics

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Researcher university

- [Medical University of Graz](https://scholariq.org/institutions/medical-university-of-graz/)

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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.