---
title: "Markus Krimmel — author profile and papers in our library"
description: "Markus Krimmel: 2 papers on Elamur Research (2024), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/markus-krimmel/"
---
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# Markus Krimmel

Markus Krimmel has 2 papers in our library, in 2024, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Bo Wang](https://md.research.elamur.ai/free/en/authors/bo-wang/), [Feng Wang](https://md.research.elamur.ai/free/en/authors/feng-wang/), [Georgios Mastrapas](https://md.research.elamur.ai/free/en/authors/georgios-mastrapas/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5053642222) · [ORCID](https://orcid.org/0009-0005-0159-1214) · [**h-index 3**](https://openalex.org/authors/A5053642222) · [15 works](https://openalex.org/works?filter=author.id:A5053642222) · [92 citations](https://openalex.org/works?filter=author.id:A5053642222&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/markus-krimmel/#papers) · [🔗 Cited 140 times in our library](https://md.research.elamur.ai/free/en/authors/markus-krimmel/cited-by/) · [⭐ Paper Stars ranking: #6229](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6229)

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

## Affiliations

[🔬**Max Planck Institute of Biochemistry** Martinsried · Germany 2025 · 2 papers](https://ror.org/04py35477) · [🏢**Jina AI** Berlin · Germany 2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/jina-ai/) · [🔬**Max Planck Institute for Intelligent Systems** Stuttgart · Germany 2022–2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-intelligent-systems/)

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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/markus-krimmel/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Gymnasium: A Standard Interface for Reinforcement Learning Environments](https://md.research.elamur.ai/free/en/papers/towers-2024-gymnasium-standard-interface-reinforcement-learning/)** *(2024 · 113 citations)* Progress in reinforcement learning has been slowed by inconsistent environment and algorithm implementations, which makes results hard to compare and reuse.
2. **[jina-embeddings-v3: Multilingual Embeddings With Task LoRA](https://md.research.elamur.ai/free/en/papers/sturua-2024-jina-embeddings-v3-multilingual-embeddings/)** *(2024 · 109 citations)* General-purpose text embedding models often still need task-specific fine-tuning. LLM-based embedders, typically around 7B parameters, are expensive to deploy for small gains. The authors present jina-embeddings-v3, a 570M-parameter multilingual encoder built on XLM-RoBERTa, keeping its original tokenizer. They…

## Co-authors here

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

- [Bo Wang](https://md.research.elamur.ai/free/en/authors/bo-wang/)
- [Feng Wang](https://md.research.elamur.ai/free/en/authors/feng-wang/)
- [Georgios Mastrapas](https://md.research.elamur.ai/free/en/authors/georgios-mastrapas/)
- [Han Xiao](https://md.research.elamur.ai/free/en/authors/han-xiao/)
- [Isabelle Mohr](https://md.research.elamur.ai/free/en/authors/isabelle-mohr/)
- [Michael Gunther](https://md.research.elamur.ai/free/en/authors/michael-gunther/)
- [Mohammad Kalim Akram](https://md.research.elamur.ai/free/en/authors/mohammad-kalim-akram/)
- [Nan Wang](https://md.research.elamur.ai/free/en/authors/nan-wang/)
- [Saba Sturua](https://md.research.elamur.ai/free/en/authors/saba-sturua/)

## Cited by

Papers of our library cite their works 140 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/markus-krimmel/cited-by/).

Updated 2 November 2026
