Universidad Nacional de Entre Ríos

1.3k papers receiving 19.4k citations

Peers

Universidad Nacional de Entre Ríos
Comparison fields: 5 of 227
  • Health Informatics 226
  • Soil Science 1.2k
  • Food Science 1.2k
  • Agronomy and Crop Science 624
  • Signal Processing 425
Replace Comisión de Investigaciones Científicas with:
Comisión de Investigaciones Científicas Argentina
Centro Científico Tecnológico - Santa Fe Argentina
Centro Científico Tecnológico - Bahía Blanca Argentina
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul Brazil
Instituto Federal do Paraná Brazil
Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina Brazil
Universidad de Montevideo Uruguay
Centro Científico Tecnológico - La Plata Argentina
Instituto Federal Sul-rio-grandense Brazil
Universidade Católica de Pelotas Brazil
Universidad Nacional de Entre Ríos relative to Comisión de Investigaciones Científicas Argentina Comisión de Investigaciones Científicas's profile →
Citations per field
00.5×5×10×12.6×
Comisión de Investigaciones Científicas · 1×
Citations per year

Countries citing scholars working at Universidad Nacional de Entre Ríos

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Universidad Nacional de Entre Ríos. 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 Universidad Nacional de Entre Ríos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universidad Nacional de Entre Ríos more than expected).

Fields of papers published by authors at Universidad Nacional de Entre Ríos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Universidad Nacional de Entre Ríos 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 Universidad Nacional de Entre Ríos at the time of their publication.

About Universidad Nacional de Entre Ríos

In recent decades, authors affiliated with Universidad Nacional de Entre Ríos have published 1.5k papers, which have received a total of 19.4k indexed citations . Scholars at this organization have produced 16 papers in Complementary and Manual Therapy, 107 papers in Food Science, 36 papers in Biophysics, 53 papers in Soil Science and 28 papers in Signal Processing on the topics of EEG and Brain-Computer Interfaces (49 papers), Voice and Speech Disorders (32 papers), Meat and Animal Product Quality (27 papers), Advanced Fluorescence Microscopy Techniques (24 papers), Food composition and properties (23 papers), Soil Carbon and Nitrogen Dynamics (22 papers), Heart Rate Variability and Autonomic Control (20 papers) and Speech and Audio Processing (20 papers). Their work is cited by papers focused on Health Informatics (226 citations), Soil Science (1.2k citations), Food Science (1.2k citations), Agronomy and Crop Science (624 citations) and Signal Processing (425 citations). Authors at Universidad Nacional de Entre Ríos collaborate with scholars in Argentina, United States and Brazil and have published in prestigious journals including Field Crops Research, Physica A Statistical Mechanics and its Applications, LWT, Computers and Electronics in Agriculture and Biomedical Signal Processing and Control. Some of Universidad Nacional de Entre Ríos's most productive authors include María Eugenia Torres, Gastón Schlotthauer, Marcelo A. Colominas, Patrick Flandrin, Marcelo D. Nosetto, Esteban Gabriel Jobbagy, Hugo Leonardo Rufiner, O.P. Caviglia, E.A. Albanesi and Diego Humberto Milone.

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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