Universidade Federal de Pernambuco

38.8k papers receiving 542.8k citations

Peers

Universidade Federal de Pernambuco
Comparison fields: 5 of 251
  • Acoustics and Ultrasonics 2.5k
  • Nature and Landscape Conservation 23.9k
  • Ecology, Evolution, Behavior and Systematics 33.1k
  • Statistics and Probability 13.4k
  • Pollution 18.0k
Replace Universidade Federal da Paraíba with:
Universidade Federal da Paraíba Brazil
Universidade Federal do Rio Grande do Norte Brazil
Universidade Federal Rural de Pernambuco Brazil
Universidade Federal de Alagoas Brazil
Universidade Federal do Ceará Brazil
Universidade Federal da Bahia Brazil
Universidade Federal de Minas Gerais Brazil
Universidade Federal de Sergipe Brazil
Universidade Federal do Rio de Janeiro Brazil
Universidade de Brasília Brazil
Universidade Federal de Pernambuco relative to Universidade Federal da Paraíba Brazil Universidade Federal da Paraíba's profile →
Citations per field
00.5×9.6×
Universidade Federal da Paraíba · 1×
Citations per year

Countries citing scholars working at Universidade Federal de Pernambuco

Since Specialization
Citations

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

Fields of papers published by authors at Universidade Federal de Pernambuco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universidade Federal de Pernambuco 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 Pernambuco at the time of their publication.

About Universidade Federal de Pernambuco

In recent decades, authors affiliated with Universidade Federal de Pernambuco have published 46.7k papers, which have received a total of 581.5k indexed citations . Scholars at this organization have produced 1.1k papers in Information Systems and Management, 133 papers in Acoustics and Ultrasonics, 568 papers in Forestry, 514 papers in Software and 1.4k papers in Nature and Landscape Conservation on the topics of Plant and animal studies (1.0k papers), Business and Management Studies (988 papers), Education and Digital Technologies (792 papers), Education Pedagogy and Practices (768 papers), Geography and Environmental Studies (695 papers), Health, Nursing, Elderly Care (682 papers), Software Engineering Research (610 papers) and Fish biology, ecology, and behavior (580 papers). Their work is cited by papers focused on Acoustics and Ultrasonics (2.5k citations), Nature and Landscape Conservation (23.9k citations), Ecology, Evolution, Behavior and Systematics (33.1k citations), Statistics and Probability (13.4k citations) and Pollution (18.0k citations). Authors at Universidade Federal de Pernambuco collaborate with scholars in Brazil, United States and United Kingdom and have published in prestigious journals including PLoS ONE, Anais da Academia Brasileira de Ciências, Zootaxa, Ciência & Saúde Coletiva and Journal of South American Earth Sciences. Some of Universidade Federal de Pernambuco's most productive authors include Marcelo Tabarelli, Mônica F. Costa, Gauss M. Cordeiro, Cid B. de Araújo, Francisco Cribari‐Neto, Marcelo Guerra, Adiel Teixeira de Almeida, S. M. Rezende, Silvia L. P. Ferrari and Oscar L. Malta.

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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