--- title: "Daniel Rueckert — author profile and papers — Elamur Research" description: "Daniel Rueckert: 3 papers on Elamur Research (2025–2026), h-index 130 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/daniel-rueckert/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daniel-rueckert/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daniel Rueckert # Daniel Rueckert Daniel Rueckert has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Florian Hinterwimmer](https://md.research.elamur.ai/free/en/authors/florian-hinterwimmer/), [Marton Szep](https://md.research.elamur.ai/free/en/authors/marton-szep/), [Rüdiger von Eisenhart-Rothe](https://md.research.elamur.ai/free/en/authors/rudiger-von-eisenhart-rothe/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5006461848) · [ORCID](https://orcid.org/0000-0002-5683-5889) · [Wikidata](https://www.wikidata.org/wiki/Q29342316) · [**h-index 130**](https://openalex.org/authors/A5006461848) · [1,380 works](https://openalex.org/works?filter=author.id:A5006461848) · [94,331 citations](https://openalex.org/works?filter=author.id:A5006461848&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/#papers) · [🔗 Cited 120 times in our library](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9265](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9265) 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=Daniel+Rueckert) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daniel+Rueckert) · [dblp](https://dblp.org/search?q=Daniel+Rueckert) · [ACL Anthology](https://aclanthology.org/search/?q=Daniel+Rueckert) ## Affiliations [🎓**Imperial College London** London · United Kingdom 1996–2026 · 1,038 papersEducation until 1997 · PhD, ComputingEmployment 1999–2003 · Lecturer (Assistant Professor), ComputingEmployment 2003–2005 · Senior Lecturer (Associate Professor), ComputingEmployment since 2005 · Professor of Visual Information Processing, Computing](https://md.research.elamur.ai/free/en/universities/imperial-college-london/) · [🎓**Technical University of Munich** Munich · Germany 2020–2026 · 382 papersEmployment since 2020 · Director, Alexander von Humboldt Professor for AI, Institute for Artificial Intelligence and Informatics in Medicine](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/) · [🏥**TUM Klinikum** Munich · Germany 2021–2026 · 193 papers](https://md.research.elamur.ai/free/en/hospitals/tum-klinikum/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2023–2026 · 38 papers](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) · [🏥**Guy's Hospital** London · United Kingdom 1998–2000 · 9 papers](https://ror.org/04r33pf22) · [🎓**King's College London** London · United Kingdom 1997–2023 · 7 papersEmployment 1997–1999 · Post-doctoral Research Fellow, Division of Imaging Sciences](https://md.research.elamur.ai/free/en/universities/king-s-college-london/) · [🎓**University of Pecs** Pécs · Hungary 2020–2023 · 4 papers](https://ror.org/037b5pv06) · [🏥**King's College Hospital** London · United Kingdom 1999–2000 · 4 papers](https://ror.org/044nptt90) · [🎓**Monash University** Melbourne · Australia 2020–2026 · 3 papers](https://md.research.elamur.ai/free/en/universities/monash-university/) · [🎓**University of Oslo** Oslo · Norway 2020–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-oslo/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 54 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL](https://md.research.elamur.ai/free/en/papers/liu-2025-distillation-pushing-limits-medical-llm/)** *(2025 · 10 citations)* Medical LLMs usually learn to reason through supervised fine-tuning on chain-of-thought (CoT) traces, often distilled from proprietary systems such as GPT-4o. 2. **[Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/szep-2026-fine-tuning-large-language-models/)** *(2026 · 7 citations)* This TACL survey examines how to adapt large language models when labeled data is scarce. That situation is common for low-resource languages, specialized fields such as medicine or law, and deployments with limited compute. The authors introduce no new dataset or model. Instead, they organize recent literature… 3. **[Unintended Memorization of Sensitive Information in Fine-Tuned Language Models](https://md.research.elamur.ai/free/en/papers/szep-2026-unintended-memorization-sensitive-information-fine/)** *(2026)* The paper examines a privacy risk that has received little attention. When an LLM is fine-tuned on sensitive records, it may memorize personal data (PII) that appears only in the inputs, even though the training targets never require it. The authors formalize this input-only memorization under a black-box threat… ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network ↗](https://arxiv.org/abs/1609.05158) arXiv:1609.05158 · no summary yet**Wenzhe Shi et al.*2016 · 7,293 citations* 2. **[Interactive and Explainable Region-guided Radiology Report Generation ↗](https://doi.org/10.1109/cvpr52729.2023.00718) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Tim Tanida et al.*2023 · 224 citations* 3. **[Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge ↗](https://doi.org/10.1007/978-3-030-88552-6_3) Lecture notes in computer science · no summary yet**Patricia M. Johnson et al.*2021 · 12 citations* 4. [**Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL arXiv:2505.17952**Che Liu, Haozhe Wang, Jiazhen Pan, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-distillation-pushing-limits-medical-llm/) 5. **[Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/szep-2026-fine-tuning-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.*2026 · 7 citations* 6. **[Unintended Memorization of Sensitive Information in Fine-Tuned Language Models](https://md.research.elamur.ai/free/en/papers/szep-2026-unintended-memorization-sensitive-information-fine/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Florian Hinterwimmer](https://md.research.elamur.ai/free/en/authors/florian-hinterwimmer/) ×2 - [Marton Szep](https://md.research.elamur.ai/free/en/authors/marton-szep/) ×2 - [Rüdiger von Eisenhart-Rothe](https://md.research.elamur.ai/free/en/authors/rudiger-von-eisenhart-rothe/) ×2 - [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/) - [Haozhe Wang](https://md.research.elamur.ai/free/en/authors/haozhe-wang/) - [Jiazhen Pan](https://md.research.elamur.ai/free/en/authors/jiazhen-pan/) - [Yong Dai](https://md.research.elamur.ai/free/en/authors/yong-dai/) - [Zhongwei Wan](https://md.research.elamur.ai/free/en/authors/zhongwei-wan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/) - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - Lecture notes in computer science ## Cited by Papers of our library cite their works 120 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daniel-rueckert/cited-by/). Updated 1 November 2026