---
title: "Arden Zimmermann — author profile and papers in our library"
description: "Arden Zimmermann, Deutsche Nationalbibliothek: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/arden-zimmermann/"
---
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# Arden Zimmermann

Arden Zimmermann has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Andreas Witt](https://md.research.elamur.ai/free/en/authors/andreas-witt/), [Christof Schöch](https://md.research.elamur.ai/free/en/authors/christof-schoch/), [Christopher Akiki](https://md.research.elamur.ai/free/en/authors/christopher-akiki/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5135274566) · [ORCID](https://orcid.org/0000-0001-6470-2384) · [**h-index 0**](https://openalex.org/authors/A5135274566) · [5 works](https://openalex.org/works?filter=author.id:A5135274566) · [0 citations](https://openalex.org/works?filter=author.id:A5135274566&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/arden-zimmermann/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/arden-zimmermann/cited-by/) · [⭐ Paper Stars ranking: #10877](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10877)

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=Arden+Zimmermann) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Arden+Zimmermann) · [dblp](https://dblp.org/search?q=Arden+Zimmermann) · [ACL Anthology](https://aclanthology.org/search/?q=Arden+Zimmermann)

## Affiliations

[🔬**Deutsche Nationalbibliothek** Frankfurt am Main · Germany 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/deutsche-nationalbibliothek/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [General Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/arden-zimmermann/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/arden-zimmermann/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language Models](https://md.research.elamur.ai/free/en/papers/gienapp-2025-german-commons-154-billion-tokens/)** *(2025 · 2 citations)* Most text used to pretrain large language models comes from web crawls whose copyright status is unclear. Very little German text is clearly open. The authors build the German Commons, a German pretraining corpus in which every document carries an explicit open license. They started from the German part of Common…
2. **[DIN 19,461: A National Standard for Derived Text Formats](https://md.research.elamur.ai/free/en/papers/trippel-2026-din-19461-national-standard-derived/)** *(2026 · 1 citation)* Researchers who apply text and data mining often cannot redistribute the texts they study, because copyright or privacy rules (such as the German UrhG or the GDPR) forbid it.

## Co-authors here

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

- [Andreas Witt](https://md.research.elamur.ai/free/en/authors/andreas-witt/)
- [Christof Schöch](https://md.research.elamur.ai/free/en/authors/christof-schoch/)
- [Christopher Akiki](https://md.research.elamur.ai/free/en/authors/christopher-akiki/)
- [Christopher Schroder](https://md.research.elamur.ai/free/en/authors/christopher-schroder/)
- [Martin Potthast](https://md.research.elamur.ai/free/en/authors/martin-potthast/)
- [Piroska Lendvai](https://md.research.elamur.ai/free/en/authors/piroska-lendvai/)
- [Stefan Schweter](https://md.research.elamur.ai/free/en/authors/stefan-schweter/)
- [Thorsten Trippel](https://md.research.elamur.ai/free/en/authors/thorsten-trippel/)

## Venues

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

- [Leveraging Derived Text Formats to Unlock Copyrighted Collections for Open Science (DTF) @ LREC](https://md.research.elamur.ai/free/en/venues/dtf/): [Leveraging Derived Text Formats to Unlock Copyrighted Collections for Open Science (DTF) @ LREC 2026](https://md.research.elamur.ai/free/en/venues/dtf/2026/)

## Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/arden-zimmermann/cited-by/).

Updated 1 November 2026
