Universidade Federal de Mato Grosso do Sul

13.0k papers receiving 147.8k citations

Peers

Universidade Federal de Mato Grosso do Sul
Comparison fields: 5 of 249
  • Parasitology 5.3k
  • Ecological Modeling 3.3k
  • Nature and Landscape Conservation 9.2k
  • Forestry 2.9k
  • Ecology 17.9k
Replace Universidade Estadual de Maringá with:
Universidade Estadual de Maringá Brazil
Universidade Federal de Mato Grosso Brazil
Universidade Estadual de Londrina Brazil
Universidade Federal de Uberlândia Brazil
Universidade Federal de São Carlos Brazil
Universidade de Ribeirão Preto Brazil
Universidade Federal de Goiás Brazil
Universidade Federal do Paraná Brazil
Universidade Federal de São Paulo Brazil
Universidade Federal de Santa Catarina Brazil
Universidade Federal de Mato Grosso do Sul relative to Universidade Estadual de Maringá Brazil Universidade Estadual de Maringá's profile →
Citations per field
00.5×1.5×1.9×
Universidade Estadual de Maringá · 1×
Citations per year

Countries citing scholars working at Universidade Federal de Mato Grosso do Sul

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universidade Federal de Mato Grosso do Sul. 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 de Mato Grosso do Sul 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 de Mato Grosso do Sul more than expected).

Fields of papers published by authors at Universidade Federal de Mato Grosso do Sul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universidade Federal de Mato Grosso do Sul 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 de Mato Grosso do Sul at the time of their publication.

About Universidade Federal de Mato Grosso do Sul

In recent decades, authors affiliated with Universidade Federal de Mato Grosso do Sul have published 16.4k papers, which have received a total of 159.7k indexed citations . Scholars at this organization have produced 514 papers in Forestry, 715 papers in Soil Science, 829 papers in Nature and Landscape Conservation, 483 papers in Information Systems and Management and 387 papers in Parasitology on the topics of Education Pedagogy and Practices (695 papers), Plant and animal studies (484 papers), Soil Management and Crop Yield (477 papers), Business and Management Studies (459 papers), Growth and nutrition in plants (422 papers), Education and Digital Technologies (373 papers), Rural Development and Agriculture (345 papers) and Agricultural and Food Sciences (344 papers). Their work is cited by papers focused on Parasitology (5.3k citations), Ecological Modeling (3.3k citations), Nature and Landscape Conservation (9.2k citations), Forestry (2.9k citations) and Ecology (17.9k citations). Authors at Universidade Federal de Mato Grosso do Sul collaborate with scholars in Brazil, United States and Belgium and have published in prestigious journals including PLoS ONE, Scientific Reports, Anais da Academia Brasileira de Ciências, Tropical Animal Health and Production and Revista Brasileira de Parasitologia Veterinária/Brazilian Journal of Veterinary Parasitology. Some of Universidade Federal de Mato Grosso do Sul's most productive authors include Maria Lı́gia Rodrigues Macedo, Gilberto Maia, Arnildo Pott, Paulo Eduardo Teodoro, José Marcato Junior, Paulo Tarso Sanches de Oliveira, Fábio de Oliveira Roque, Wesley Nunes Gonçalves, Julio Henrique Rosa Croda and João Onofre Pereira Pinto.

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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