Universidade Federal de Mato Grosso do Sul

12.3k papers receiving 133.1k citations

Peers

Universidade Federal de Mato Grosso do Sul
Comparison fields: 5 of 249
  • Parasitology 4.9k
  • Forestry 2.7k
  • Nature and Landscape Conservation 7.8k
  • Ecological Modeling 2.7k
  • Ecology 15.5k
Replace Universidade Estadual de Maringá with:
Universidade Estadual de Maringá Brazil
Universidade Federal de Mato Grosso Brazil
Universidade Estadual de Londrina Brazil
Universidade Brasil 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 Mato Grosso do Sul relative to Universidade Estadual de Maringá Brazil Universidade Estadual de Maringá's profile →
Citations per field
00.5×1.7×
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 15.4k papers, which have received a total of 142.6k indexed citations . Scholars at this organization have produced 497 papers in Forestry, 690 papers in Soil Science, 458 papers in Information Systems and Management, 778 papers in Nature and Landscape Conservation and 374 papers in Parasitology on the topics of Education Pedagogy and Practices (669 papers), Soil Management and Crop Yield (464 papers), Plant and animal studies (459 papers), Business and Management Studies (436 papers), Growth and nutrition in plants (411 papers), Education and Digital Technologies (361 papers), Agricultural and Food Sciences (330 papers) and Rural Development and Agriculture (329 papers). Their work is cited by papers focused on Parasitology (4.9k citations), Forestry (2.7k citations), Nature and Landscape Conservation (7.8k citations), Ecological Modeling (2.7k citations) and Ecology (15.5k 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 Gilberto Maia, Maria Lı́gia Rodrigues Macedo, Paulo Eduardo Teodoro, José Marcato, Arnildo Pott, Paulo Tarso Sanches de Oliveira, Wesley Nunes Gonçalves, Fábio de Oliveira Roque, João Onofre Pereira Pinto and Hemerson Pistori.

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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