Instituto Federal do Rio Grande do Norte

20.3k citations
2.8k papers ·

Impact in

Papers in

Instituto Federal do Rio Grande do Norte

2.1k papers receiving 18.5k citations

Peers

Instituto Federal do Rio Grande do Norte
Comparison fields: 5 of 245
  • Aquatic Science 934
  • Public Health, Environmental and Occupational Health 1.9k
  • Forestry 270
  • Infectious Diseases 1.1k
  • Food Science 1.0k
Replace Universidade do Estado do Rio Grande do Norte with:
Universidade do Estado do Rio Grande do Norte Brazil
Instituto Federal de Educação, Ciência e Tecnologia do Ceará Brazil
Instituto Federal de Educação Ciência e Tecnologia da Paraíba Brazil
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Instituto Federal da Bahia Brazil
Universidade Federal do Recôncavo da Bahia Brazil
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Instituto Federal do Rio Grande do Norte relative to Universidade do Estado do Rio Grande do Norte Brazil Universidade do Estado do Rio Grande do Norte's profile →
Citations per field
00.5×2×2.9×
Universidade do Estado do Rio Grande do Norte · 1×
Citations per year

Countries citing scholars working at Instituto Federal do Rio Grande do Norte

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Instituto Federal do Rio Grande do Norte. 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 Instituto Federal do Rio Grande do Norte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Instituto Federal do Rio Grande do Norte more than expected).

Fields of papers published by authors at Instituto Federal do Rio Grande do Norte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Instituto Federal do Rio Grande do Norte 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 Instituto Federal do Rio Grande do Norte at the time of their publication.

About Instituto Federal do Rio Grande do Norte

In recent decades, authors affiliated with Instituto Federal do Rio Grande do Norte have published 2.8k papers, which have received a total of 20.3k indexed citations . Scholars at this organization have produced 144 papers in Forestry, 251 papers in Information Systems and Management, 244 papers in Management, Monitoring, Policy and Law, 575 papers in Education and 410 papers in Sociology and Political Science on the topics of Education Pedagogy and Practices (298 papers), Business and Management Studies (241 papers), Education and Digital Technologies (234 papers), Science and Education Research (179 papers), Environmental Sustainability and Education (147 papers), Agricultural and Food Sciences (130 papers), Education and Public Policy (123 papers) and Academic Research in Diverse Fields (117 papers). Their work is cited by papers focused on Aquatic Science (934 citations), Public Health, Environmental and Occupational Health (1.9k citations), Forestry (270 citations), Infectious Diseases (1.1k citations) and Food Science (1.0k citations). Authors at Instituto Federal do Rio Grande do Norte collaborate with scholars in Brazil, Portugal and United States and have published in prestigious journals including Sensors, IEEE Access, Microwave and Optical Technology Letters, Energies and Scientific Reports. Some of Instituto Federal do Rio Grande do Norte's most productive authors include Kléber Giovanni Luz, Camila Zanluca, Claudia Nunes Duarte dos Santos, Bruno Sielly Jales Costa, Ana Luiza Pamplona Mosimann, Plamen Parvanov Angelov, Ricardo Alexsandro de Medeiros Valentim, Hugo Alexandre Oliveira Rocha, Antônio Higor Freire de Morais and Luiz Affonso Guedes.

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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