Ariel Pereda

1.7k citations
33 papers · 1.1k · h-index 20

Impact in

Papers in

    • Influenza Virus Research Studies 13
    • Respiratory viral infections research 5
    • Virology and Viral Diseases 4
    • Animal Disease Management and Epidemiology 17

Ariel Pereda

33 papers receiving 1.0k citations

Peers

Ariel Pereda
Comparison fields: 5 of 41
  • Agronomy and Crop Science 547
  • Infectious Diseases 405
  • Animal Science and Zoology 235
  • Epidemiology 694
  • Virology 74
Replace Jae‐Ku Oem with:
Jae‐Ku Oem South Korea
Kanisak Oraveerakul Thailand
Bounlom Douangngeun Laos
Enrica Sozzi Italy
Maria Jenckel Germany
Gian Luca Autorino Italy
Peter Thorén Sweden
E. P. J. Gibbs United States
E.M.A. van Rooij Netherlands
B. Makoschey Germany
Ariel Pereda relative to Jae‐Ku Oem South Korea Jae‐Ku Oem's profile →
Citations per field
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Jae‐Ku Oem · 1×
Citations per year

Countries citing papers authored by Ariel Pereda

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Pereda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel Pereda. 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 Ariel Pereda. The network helps show where Ariel Pereda may publish in the future.

Co-authors

The 25 scholars most cited alongside Ariel Pereda, 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 Ariel Pereda Line = papers co-authored together Ariel Pereda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016149
2 2010105
3 2013104
4 200878
5 201149
6 200647
7 200543
8 201538
9 200936
10 200935
11 201234
12 201133
13 201129
14 201228
15 200827
16 201227
17 201226
18 200523
19 200921
20 201720

About Ariel Pereda

Ariel Pereda is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Ecology, Evolution, Behavior and Systematics, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (17 papers), Influenza Virus Research Studies (13 papers), Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Vectors (8 papers), Animal Virus Infections Studies (8 papers), Vector-Borne Animal Diseases (6 papers), Respiratory viral infections research (5 papers) and Virology and Viral Diseases (4 papers). The work is most often cited by research in Agronomy and Crop Science (547 citations), Infectious Diseases (405 citations), Animal Science and Zoology (235 citations), Epidemiology (694 citations) and Virology (74 citations). Ariel Pereda has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Mariá Isabel Craig, Agustina Rimondi, Marcela Uhart, G König, Valeria Olivera, Daniel R. Pérez, Javier Cappuccio, Ariel Vagnozzi, Carlos Juan Perfumo and Mariana Machuca. Their work appears in journals such as Influenza and Other Respiratory Viruses, Journal of General Virology, Archives of Virology, Avian Diseases and Veterinary Research.

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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