---
title: "Stefan Hegselmann — author profile and papers in our library"
description: "Stefan Hegselmann, Deutsches Herzzentrum der Charité: 2 papers on Elamur Research (2022), h-index 9 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/stefan-hegselmann/"
---
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# Stefan Hegselmann

Stefan Hegselmann has 2 papers in our library, in 2022; often with [David Sontag](https://md.research.elamur.ai/free/en/authors/david-sontag/), [Hunter Lang](https://md.research.elamur.ai/free/en/authors/hunter-lang/), [Monica Agrawal](https://md.research.elamur.ai/free/en/authors/monica-agrawal/).

2 papers in our library · 2022

[OpenAlex](https://openalex.org/A5053402317) · [ORCID](https://orcid.org/0000-0002-2145-3258) · [Wikidata](https://www.wikidata.org/wiki/Q139276025) · [**h-index 9**](https://openalex.org/authors/A5053402317) · [55 works](https://openalex.org/works?filter=author.id:A5053402317) · [801 citations](https://openalex.org/works?filter=author.id:A5053402317&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/stefan-hegselmann/#papers) · [🔗 Cited 142 times in our library](https://md.research.elamur.ai/free/en/authors/stefan-hegselmann/cited-by/) · [⭐ Paper Stars ranking: #2780](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2780)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Stefan+Hegselmann) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Stefan+Hegselmann) · [dblp](https://dblp.org/search?q=Stefan+Hegselmann) · [ACL Anthology](https://aclanthology.org/search/?q=Stefan+Hegselmann)

## Affiliations

[🔬**Berlin Institute of Health at Charité - Universitätsmedizin Berlin** Berlin · Germany 2025–2026 · 6 papers*current*](https://ror.org/0493xsw21) · [🏥**Deutsches Herzzentrum der Charité** Berlin · Germany 2025–2026 · 4 papers*current*](https://ror.org/01mmady97) · [🏥**Charité - Universitätsmedizin Berlin** Berlin · Germany 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/hospitals/charite-universitatsmedizin-berlin/) · [🎓**University of Münster** Münster · Germany 2017–2025 · 32 papers](https://md.research.elamur.ai/free/en/universities/university-of-munster/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2022–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Biochemistry, Genetics and Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/)

## Works by year

### 2020s

[**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/stefan-hegselmann/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)** *(2022 · 454 citations)* Extracting structured variables from clinical notes is difficult. The text is full of jargon and irregular phrasing, annotation requires medical experts, and most annotated corpora have data use agreements that forbid sending them to external LLM APIs. The authors ask whether a general-domain model, InstructGPT…
2. **[Large Language Models are Few-Shot Clinical Information Extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-few-shot/)** *(2022 · 384 citations)* Clinical notes contain many variables that never reach the structured fields of electronic health records.

## Co-authors here

4 co-authors with a page, the most papers together first.

- [David Sontag](https://md.research.elamur.ai/free/en/authors/david-sontag/) ×2
- [Hunter Lang](https://md.research.elamur.ai/free/en/authors/hunter-lang/) ×2
- [Monica Agrawal](https://md.research.elamur.ai/free/en/authors/monica-agrawal/) ×2
- [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/) ×2

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) ×2

## Cited by

Papers of our library cite their works 142 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/stefan-hegselmann/cited-by/).

Updated 30 October 2026
