Fernando A. Rivera

645 citations
13 papers · 470 · h-index 9

Impact in

    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock

Papers in

    • Genetic and phenotypic traits in livestock 5
    • Reproductive Physiology in Livestock 5
    • Ruminant Nutrition and Digestive Physiology 1

Fernando A. Rivera

13 papers receiving 455 citations

Peers

Fernando A. Rivera
Comparison fields: 5 of 51
  • Agronomy and Crop Science 315
  • Genetics 303
  • Public Health, Environmental and Occupational Health 188
  • Animal Science and Zoology 55
  • Reproductive Medicine 24
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Claire Card Canada
Marcelo Martínez Argentina
Bruna Martins Guerreiro Brazil
M. Caccia Argentina
D.W. Hanlon United States
Duncan K. Hockley Canada
Y.Y. Tsong United States
R. H. Schultz United States
Plamen Georgiev Bulgaria
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Citations per field
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Citations per year

Countries citing papers authored by Fernando A. Rivera

Since Specialization
Citations

This map shows the geographic impact of Fernando A. Rivera's research. 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 Fernando A. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando A. Rivera more than expected).

Fields of papers citing papers by Fernando A. Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando A. Rivera. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fernando A. Rivera. The network helps show where Fernando A. Rivera may publish in the future.

Co-authors

The 25 scholars most cited alongside Fernando A. Rivera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando A. Rivera Line = papers co-authored together Fernando A. Rivera links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2010128
2 201288
3 202160
4 201049
5 200945
6 202321
7 201220
8 202016
9 201115
10 20248
11 20038
12 20207
13 20035

About Fernando A. Rivera

Fernando A. Rivera is a scholar working on Genetics, Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Infectious Diseases, having authored 13 papers that have together received 470 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Reproductive Physiology in Livestock (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Reproductive Biology and Fertility (3 papers), HIV/AIDS Research and Interventions (2 papers), HIV/AIDS drug development and treatment (2 papers), HIV Research and Treatment (2 papers) and Ruminant Nutrition and Digestive Physiology (1 paper). The work is most often cited by research in Agronomy and Crop Science (315 citations), Genetics (303 citations), Public Health, Environmental and Occupational Health (188 citations), Animal Science and Zoology (55 citations) and Reproductive Medicine (24 citations). Fernando A. Rivera has collaborated with scholars based in United States and Mexico. Frequent co-authors include R.C. Chebel, L.G.D. Mendonça, J.E.P. Santos, Fabio Guagnini, G. Lopes, Abelardo Correa‐Calderón, M. Amstalden, João Lima, T.R. Bilby and R.G.S. Bruno. Their work appears in journals such as Journal of Dairy Science, Frontiers in Medicine, Journal of Clinical Microbiology, Theriogenology and Reproduction.

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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