Universidade Federal do Rio Grande

237.8k citations
15.5k papers ·

Impact in

Papers in

Universidade Federal do Rio Grande

13.1k papers receiving 225.1k citations

Peers

Universidade Federal do Rio Grande
Comparison fields: 5 of 250
  • Aquatic Science 19.5k
  • Pollution 18.6k
  • Health, Toxicology and Mutagenesis 20.1k
  • Oceanography 17.9k
  • Ecology 34.0k
Replace Universidade Federal de Santa Maria with:
Universidade Federal de Santa Maria Brazil
National University of Mar del Plata Argentina
Universidade Federal de Pelotas Brazil
Universidade Federal de São Paulo Brazil
Universidad Nacional del Litoral Argentina
Universidade Estadual de Londrina Brazil
Universidade do Estado de Santa Catarina Brazil
Universidade do Vale do Rio dos Sinos Brazil
Universidade Estadual do Oeste do Paraná Brazil
Universidade de Ribeirão Preto Brazil
Universidade Federal do Rio Grande relative to Universidade Federal de Santa Maria Brazil Universidade Federal de Santa Maria's profile →
Citations per field
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Universidade Federal de Santa Maria · 1×
Citations per year

Countries citing scholars working at Universidade Federal do Rio Grande

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universidade Federal do Rio Grande. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Universidade Federal do Rio Grande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universidade Federal do Rio Grande more than expected).

Fields of papers published by authors at Universidade Federal do Rio Grande

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universidade Federal do Rio Grande at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Universidade Federal do Rio Grande at the time of their publication.

About Universidade Federal do Rio Grande

In recent decades, authors affiliated with Universidade Federal do Rio Grande have published 15.5k papers, which have received a total of 237.8k indexed citations . Scholars at this organization have produced 996 papers in Aquatic Science, 920 papers in Nature and Landscape Conservation, 866 papers in Oceanography, 1.7k papers in Ecology and 875 papers in Health, Toxicology and Mutagenesis on the topics of Aquaculture Nutrition and Growth (733 papers), Environmental Toxicology and Ecotoxicology (556 papers), Marine and fisheries research (555 papers), Health, Nursing, Elderly Care (516 papers), Fish biology, ecology, and behavior (510 papers), Education Pedagogy and Practices (420 papers), Algal biology and biofuel production (409 papers) and Marine and coastal ecosystems (386 papers). Their work is cited by papers focused on Aquatic Science (19.5k citations), Pollution (18.6k citations), Health, Toxicology and Mutagenesis (20.1k citations), Oceanography (17.9k citations) and Ecology (34.0k citations). Authors at Universidade Federal do Rio Grande collaborate with scholars in Brazil, United States and Spain and have published in prestigious journals including Aquaculture, Environmental Science and Pollution Research, The Science of The Total Environment, Anais da Academia Brasileira de Ciências and Marine Pollution Bulletin. Some of Universidade Federal do Rio Grande's most productive authors include Jorge Alberto Vieira Costa, Luiz Antônio de Almeida Pinto, Adalto Bianchini, Michele Greque de Morais, Wilson Wasielesky, Guilherme Luiz Dotto, José María Monserrat, Gilberto Fillmann, Paulo César Abreu and Eliana Badiale–Furlong.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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