---
title: "Martin Heckelmann — author profile and papers · Legal AI"
description: "Martin Heckelmann, HTW Berlin - University of Applied Sciences: 2 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/martin-heckelmann/"
---
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# Martin Heckelmann

Martin Heckelmann has 2 papers in our library, in 2025–2026, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Christina Kratsch](https://md.research.elamur.ai/free/en/authors/christina-kratsch/), [Gerard de Melo](https://md.research.elamur.ai/free/en/authors/gerard-de-melo/), [Harshil Darji](https://md.research.elamur.ai/free/en/authors/harshil-darji/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5120633712) · [ORCID](https://orcid.org/0000-0003-1696-6849) · [Wikidata](https://www.wikidata.org/wiki/Q132994000) · [**h-index 1**](https://openalex.org/authors/A5120633712) · [3 works](https://openalex.org/works?filter=author.id:A5120633712) · [1 citations](https://openalex.org/works?filter=author.id:A5120633712&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/martin-heckelmann/#papers) · [⭐ Paper Stars ranking: #11607](https://md.research.elamur.ai/free/en/paper-stars/page/117/#star-11607)

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

## Affiliations

[🎓**HTW Berlin - University of Applied Sciences** Berlin · Germany 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/htw-berlin-university-of-applied-sciences/)

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).[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/) · [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/) · [Political Science and International Relations · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 2 Research subjects and languages the work is about.[Legal AI · 2 works](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Segmentation and Processing of German Court Decisions from Open Legal Data](https://md.research.elamur.ai/free/en/papers/darji-2026-segmentation-processing-german-court-decisions/)** *(2025 · 1 citation)* The Open Legal Data dump of German court decisions has tidy metadata, but the decision bodies are stored as irregular HTML in which the standard parts of a ruling are often not marked.
2. **[Bundesrecht: An Open Library and Corpus for German Statutory Reference Processing](https://md.research.elamur.ai/free/en/papers/darji-2026-bundesrecht-open-library-corpus-german/)** *(2026)* German legal texts cite statutes in dense and highly variable ways. Abbreviations such as i.V.m., §§ ranges, several targets in one expression, and omitted context that later parts must inherit all make these citations hard for machines to follow down to the exact provision. Earlier tools either locate citations in…

## Co-authors here

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

- [Christina Kratsch](https://md.research.elamur.ai/free/en/authors/christina-kratsch/) ×2
- [Gerard de Melo](https://md.research.elamur.ai/free/en/authors/gerard-de-melo/) ×2
- [Harshil Darji](https://md.research.elamur.ai/free/en/authors/harshil-darji/) ×2

## Venues

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

- [Frontiers in artificial intelligence and applications](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/): [Frontiers in artificial intelligence and applications 2025](https://md.research.elamur.ai/free/en/venues/frontiers-in-artificial-intelligence-and-applications/2025/)

Updated 30 October 2026
