Elamur Research⌕
☰
home / authors / Jennifer D'Souza

Jennifer D'Souza

Jennifer D'Souza has 2 papers in our library, in 2025–2026; often with Anne Lauscher, Brigitte Krenn, Chenghua Lin.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 16 · 166 works · 1,171 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #8632

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Technische Informationsbibliothek (TIB)Hanover · Germany2015–2026 · 104 paperscurrent🎓The University of Texas at DallasRichardson · United States2012–2015 · 12 papers🎓Leibniz University HannoverHanover · Germany2020–2024 · 7 papers🔬L3S Research CenterHanover · Germany2020–2022 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation (2025 · 25 citations)
    The survey looks at how large (multimodal) language models are starting to reshape scientific work. Earlier reviews tended to cover single disciplines or a few tasks. This paper instead follows the research lifecycle from start to finish. It covers five stages: finding and summarizing literature, generating ideas and…
  2. An Extreme Multi-label Text Classification (XMTC) Library Dataset: What If We Took “Use of Practical AI in Digital Libraries” Seriously? (2026 · 2 citations)
    Manual subject indexing in libraries is hard to scale as catalogs grow and become more multilingual. Generic XMTC benchmarks such as Wiki-500K or EurLex-4K use flat or ad hoc labels and do not reflect real cataloging practice. Library linked-data releases, in turn, usually lack standard train/test splits. The authors…

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jennifer-d-souza/