--- title: "Rio de Janeiro — research institutions and their papers" description: "Rio de Janeiro (Brazil): 2 institutions with papers on Elamur Research — 1 university, 1 research institute — and 400 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/rio-de-janeiro/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/rio-de-janeiro/) [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/) / Rio de Janeiro # Rio de Janeiro Agglomeration [Brazil](https://md.research.elamur.ai/free/en/countries/brazil/) · metro population 12,813,149 (functional urban area, GHSL 2015) **2** institutions with a page**3** works in our library**400** citations of their works ## Institutions (2) 1 university, 1 research institute. ### 🎓 Universities (1) 1. **[Pontifícia Universidade Católica do Rio de Janeiro](https://md.research.elamur.ai/free/en/universities/pontificia-universidade-catolica-do-rio-de-janeiro/)**University · Rio de Janeiro, [Brazil](https://md.research.elamur.ai/free/en/countries/brazil/)*2 works · 204 citations* ### 🔬 Labs and research institutes (1) 1. **[IBM Research - Brazil](https://md.research.elamur.ai/free/en/labs/ibm-research-brazil/)**Research institute · Rio de Janeiro, [Brazil](https://md.research.elamur.ai/free/en/countries/brazil/)*2 works · 196 citations* ## Works in our library (3) Works of its institutions, the most cited first. 1. [**Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution**Eraldo Fernandes, Cícero dos Santos, Ruy Milidiú*2012 · 141 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2012-latent-structure-perceptron-feature-induction/) 2. [**Latent Trees for Coreference Resolution**Eraldo Rezende Fernandes, Cícero Nogueira dos Santos, Ruy Luiz Milidiú*2014 · 63 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2014-latent-trees-coreference-resolution/) 3. [**English WordNet 2019 – An Open-Source WordNet for English**John P. McCrae, Alexandre Rademaker, Francis Bond*2019 · 55 citations*](https://md.research.elamur.ai/free/en/papers/mccrae-2019-english-wordnet/) ## Works by year ### 2010s [**2019** 1 work](https://md.research.elamur.ai/free/en/papers/mccrae-2019-english-wordnet/) · [**2014** 1 work](https://md.research.elamur.ai/free/en/papers/fernandes-2014-latent-trees-coreference-resolution/) · [**2012** 1 work](https://md.research.elamur.ai/free/en/papers/fernandes-2012-latent-structure-perceptron-feature-induction/) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 2[Linguistics & languages · 3 works](https://md.research.elamur.ai/free/en/shelves/linguistics/) · [English · 1 work](https://md.research.elamur.ai/free/en/shelves/en/) 🧭 Topics 1[Coreference resolution · 2 works](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 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/brazil/) — Brazil Updated 23 October 2026