William Avilés

793 citations
10 papers · 593 · h-index 10

Impact in

Papers in

William Avilés

10 papers receiving 579 citations

Peers

William Avilés
Comparison fields: 5 of 36
  • Public Health, Environmental and Occupational Health 520
  • Infectious Diseases 287
  • Modeling and Simulation 72
  • Virology 9
  • Epidemiology 50
Replace Vito G. Roque with:
Vito G. Roque Philippines
Ananda Amarasinghe Sri Lanka
Douglas Elizondo United States
Chantha Ngan Cambodia
B Helynck France
Tatiana Elias Colombo Brazil
Isabelle Leparc Goffart France
Julio Rocha Brazil
Gamaliel Gutiérrez United States
Miguel Betancourt-Cravioto Mexico
William Avilés relative to Vito G. Roque Philippines Vito G. Roque's profile →
Citations per field
00.5×1.6×
Vito G. Roque · 1×
Citations per year

Countries citing papers authored by William Avilés

Since Specialization
Citations

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

Fields of papers citing papers by William Avilés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009133
2 2009103
3 201385
4 201066
5 201857
6 201348
7 201034
8 201526
9 200823
10 200718

About William Avilés

William Avilés is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology, Endocrinology and Modeling and Simulation, having authored 10 papers that have together received 593 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), Malaria Research and Control (5 papers), Viral Infections and Vectors (5 papers), Data-Driven Disease Surveillance (2 papers), Viral Infections and Outbreaks Research (2 papers), Influenza Virus Research Studies (1 paper), COVID-19 epidemiological studies (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (520 citations), Infectious Diseases (287 citations), Modeling and Simulation (72 citations), Virology (9 citations) and Epidemiology (50 citations). William Avilés has collaborated with scholars based in United States, Nicaragua and Rwanda. Frequent co-authors include Eva Harris, Guillermina Kuan, Aubree Gordon, Ángel Balmaseda, Joséfina Coloma, Katherine Standish, Ángel Balmaseda, Juan Carlos Mercado, Guillermina Kuan and Lionel Gresh. Their work appears in journals such as PLoS neglected tropical diseases, American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, Proceedings of the National Academy of Sciences and American Journal of Epidemiology.

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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