Universidade Federal da Grande Dourados

5.6k papers receiving 53.1k citations

Peers

Universidade Federal da Grande Dourados
Comparison fields: 5 of 245
  • Forestry 2.0k
  • Insect Science 4.7k
  • Food Science 6.9k
  • Soil Science 3.6k
  • Plant Science 13.6k
Replace Universidade Federal de Mato Grosso do Sul with:
Universidade Federal de Mato Grosso do Sul Brazil
Universidade Estadual do Oeste do Paraná Brazil
Universidade Estadual de Mato Grosso do Sul Brazil
Universidade Estadual de Ponta Grossa Brazil
Universidade Estadual do Centro-Oeste Brazil
Universidade Federal de Mato Grosso Brazil
Universidade Estadual de Londrina Brazil
Universidade Federal da Fronteira Sul Brazil
Instituto Federal Goiano Brazil
Universidade do Estado de Santa Catarina Brazil
Universidade Federal da Grande Dourados relative to Universidade Federal de Mato Grosso do Sul Brazil Universidade Federal de Mato Grosso do Sul's profile →
Citations per field
00.5×1.5×
Universidade Federal de Mato Grosso do Sul · 1×
Citations per year

Countries citing scholars working at Universidade Federal da Grande Dourados

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universidade Federal da Grande Dourados. 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 da Grande Dourados 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 da Grande Dourados more than expected).

Fields of papers published by authors at Universidade Federal da Grande Dourados

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universidade Federal da Grande Dourados 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 da Grande Dourados at the time of their publication.

About Universidade Federal da Grande Dourados

In recent decades, authors affiliated with Universidade Federal da Grande Dourados have published 7.0k papers, which have received a total of 57.9k indexed citations . Scholars at this organization have produced 417 papers in Forestry, 625 papers in Soil Science, 1.7k papers in Plant Science, 452 papers in Animal Science and Zoology and 523 papers in Insect Science on the topics of Growth and nutrition in plants (580 papers), Soil Management and Crop Yield (535 papers), Education Pedagogy and Practices (346 papers), Agricultural and Food Sciences (314 papers), Animal Nutrition and Physiology (282 papers), Rural Development and Agriculture (265 papers), Plant and animal studies (254 papers) and Insect and Pesticide Research (215 papers). Their work is cited by papers focused on Forestry (2.0k citations), Insect Science (4.7k citations), Food Science (6.9k citations), Soil Science (3.6k citations) and Plant Science (13.6k citations). Authors at Universidade Federal da Grande Dourados collaborate with scholars in Brazil, United States and Belgium and have published in prestigious journals including Engenharia Agrícola, Journal of Ethnopharmacology, PLoS ONE, Ciência e Agrotecnologia and Anais da Academia Brasileira de Ciências. Some of Universidade Federal da Grande Dourados's most productive authors include Cláudia Andréa Lima Cardoso, Julio Henrique Rosa Croda, Gustavo Graciano Fonseca, Farayde Matta Fakhouri, Maria do Carmo Vieira, João Augusto Rossi Borges, Cândida Aparecida Leite Kassuya, Fernando César Paiva Dagosta, Simone Simionatto and Silvana de Paula Quintão Scalon.

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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