Steve Waterman
- Infectious Diseases top 10%
- Viral Infections and Vectors 6
- Viral gastroenteritis research and epidemiology 1
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 3
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- Mosquito-borne diseases and control 8
- Malaria Research and Control 2
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- Influenza Virus Research Studies 2
- Virology and Viral Diseases 2
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- Viral Infections and Immunology Research 1
- Co-authors
- Jorge L. Muñoz‐JordánPaige A. ArmstrongDana ThomasSonia SaavedraTyler M. SharpCarlos A. LucianoMiguel Valencia‐PradoBrenda Rivera-García
- Cited by
- Infectious DiseasesModeling and SimulationPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesPuerto RicoMexico
In The Last Decade
Steve Waterman
16 papers receiving 249 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 152
- Modeling and Simulation 28
- Public Health, Environmental and Occupational Health 174
- Epidemiology 80
- Endocrinology 10
Countries citing papers authored by Steve Waterman
This map shows the geographic impact of Steve Waterman'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 Steve Waterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Waterman more than expected).
Fields of papers citing papers by Steve Waterman
This network shows the impact of papers produced by Steve Waterman. 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 Steve Waterman. The network helps show where Steve Waterman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steve Waterman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2021 | 11 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 4 | |
| 5 | 2017 | 4 | |
| 6 | 2016 | 6 | |
| 7 | 2016 | 94 | |
| 8 | 2013 | 8 | |
| 9 | 2010 | 4 | |
| 10 | 2010 | 17 | |
| 11 | 2009 | 57 | |
| 12 | 2007 | 30 | |
| 13 | 2006 | 7 | |
| 14 | 1990 | 1 | |
| 15 | 1990 | 1 | |
| 16 | Fluorescent antibody techniques applied to the identification of dengue virus in infected tissue. | 1982 | 4 |
About Steve Waterman
Steve Waterman is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 259 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (8 papers), Viral Infections and Vectors (6 papers), COVID-19 epidemiological studies (3 papers), Influenza Virus Research Studies (2 papers), Virology and Viral Diseases (2 papers), Malaria Research and Control (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Infectious Diseases (152 citations), Modeling and Simulation (28 citations) and Public Health, Environmental and Occupational Health (174 citations). Steve Waterman has collaborated with scholars based in United States, Puerto Rico and Mexico. Frequent co-authors include Jorge L. Muñoz‐Jordán, Paige A. Armstrong, Dana Thomas, Sonia Saavedra, Tyler M. Sharp, Carlos A. Luciano, Miguel Valencia‐Prado, Brenda Rivera-García, Kyle Ryff and Thomas P. Monath. Their work appears in journals such as JAMA, PLoS ONE and Clinical Infectious Diseases.
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.