--- title: "Tampa Bay Area — research institutions and their papers" description: "Tampa Bay Area (United States): 1 institutions with papers on Elamur Research — 1 university — and 33,127 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/tampa-bay-area/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/tampa-bay-area/) [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/) / Tampa Bay Area # Tampa Bay Area Agglomeration [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · metro population 2,678,158 (the Tampa functional urban area, GHSL 2015) **1** institution with a page**7** works in our library**33,127** citations of their works ## Institutions (1) 1 university. ### 🎓 Universities (1) 1. **[University of South Florida](https://md.research.elamur.ai/free/en/universities/university-of-south-florida/)**University · Tampa, [United States](https://md.research.elamur.ai/free/en/countries/united-states/)*7 works · 33,127 citations* ## Works in our library (7) Works of its institutions, the most cited first. 1. **[SMOTE: Synthetic Minority Over-sampling Technique](https://md.research.elamur.ai/free/en/papers/chawla-2002-smote-synthetic-minority-over-sampling/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall, et al.*2002 · 32,672 citations* 2. **[Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Julia Kreutzer, Isaac Caswell, Lisa Wang, et al.*2021 · 454 citations* 3. **[Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/azime-2026-bridging-culture-gap-framework-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow, et al.*2026 · 1 citation* 4. **[Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes](https://md.research.elamur.ai/free/en/papers/monsur-2026-event-detection-context-aware-encoder/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abdullah Al Monsur, Nitesh Vamshi Bommisetty, Gene Louis Kim*2026* 5. **[A Unified Feature Mixture Framework for Joint Speech and Singing Deepfake Detection](https://md.research.elamur.ai/free/en/papers/sharma-2026-unified-feature-mixture-framework-joint/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Aastha Sharma, Guangjing Wang*2026* 6. **[A Multi-Agent Framework for High-Interaction Terminal Simulation](https://md.research.elamur.ai/free/en/papers/wei-2026-multi-agent-framework-high-interaction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wei, Yuwen Cui, Kehan Shen, et al.*2026* 7. **[Lost in Translation, and Found: Detecting and Interpreting Translation Effects](https://md.research.elamur.ai/free/en/papers/wein-2026-lost-translation-found-detecting-interpreting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shira Wein, Anna Serbina, Jiyuan Ji, et al.*2026* ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/agglomerations/tampa-bay-area/year/2026/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/tampa-bay-area/year/2021/) ### 2000s [**2002** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/tampa-bay-area/year/2002/) ## 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).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 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/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) 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