--- title: "Tuscaloosa — research institutions and their papers in our library" description: "Tuscaloosa (United States): 1 institutions with papers on Elamur Research — 1 university — and 403 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/tuscaloosa/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/tuscaloosa/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / Tuscaloosa # Tuscaloosa Agglomeration [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · metro population 163,785 (functional urban area, GHSL 2015) **1** institution with a page**6** works in our library**403** citations of their works ## Institutions (1) 1 university. ### 🎓 Universities (1) 1. **[University of Alabama](https://md.research.elamur.ai/free/en/universities/university-of-alabama/)**University · Tuscaloosa, [United States](https://md.research.elamur.ai/free/en/countries/united-states/)*6 works · 403 citations* ## Works in our library (6) Works of its institutions, the most cited first. 1. **[MEAD - A Platform for Multidocument Multilingual Text Summarization](https://md.research.elamur.ai/free/en/papers/radev-2004-mead-platform-multidocument-multilingual-text/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, et al.*2004 · 400 citations* 2. **[Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer](https://md.research.elamur.ai/free/en/papers/zhang-2026-blind-spot-navigation-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, et al.*2026 · 3 citations* 3. **[Can listeners differentiate varieties using prosodic information? Lect identification in a persona-matching task](https://md.research.elamur.ai/free/en/papers/holliday-2024-can-listeners-differentiate-varieties-prosodic/) [Glossa a journal of general linguistics](https://md.research.elamur.ai/free/en/venues/glossa-a-journal-of-general-linguistics/)**Nicole Holliday, Rachel Steindel Burdin, Paul Reed*2024* 4. **[The Displacement-Velocity Dissociation in Sign Language Learning: Kinematic Signatures of Event Structure in Novice ÖGS Signers](https://md.research.elamur.ai/free/en/papers/malaia-2026-displacement-velocity-dissociation-sign-language/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Evguenia A. Malaia, Julia Krebs, Eric Harbour, et al.*2026* 5. **[Annotating Clinical Risk and Variation in Haitian Creole Medical Translation](https://md.research.elamur.ai/free/en/papers/mompelat-2026-annotating-clinical-risk-variation-haitian/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Ludovic Mompelat, David Tézil, Rose Flaure Accilien*2026* 6. **[Lost in Expression: Diagnosing Systemic Challenges with Non-Manual Generalization in Sign Language Understanding Tasks](https://md.research.elamur.ai/free/en/papers/sazonov-2026-lost-expression-diagnosing-systemic-challenges/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Dmitriy Sazonov, Sevgi Z. Gurbuz, Evie A. Malaia*2026* ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/agglomerations/tuscaloosa/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/tuscaloosa/year/2024/) ### 2000s [**2004** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/tuscaloosa/year/2004/) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 13 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Psychology · 3 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Developmental and Educational Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Human-Computer Interaction · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [General Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/general-health-professions/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) 🧭 Topics 5 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Text summarization · 1 work](https://md.research.elamur.ai/free/en/concepts/text-summarization/) Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth. - [← back to](https://md.research.elamur.ai/free/en/countries/united-states/) — United States Updated 1 November 2026