Eugene Elbert
Impact in
- Epidemiology top 10%
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
- Respiratory viral infections research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Data-Driven Disease Surveillance 4
- Influenza Virus Research Studies 1
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- Bacillus and Francisella bacterial research 2
- Co-authors
- Julie A. Pavlin (4 shared papers)Howard Burkom (2 shared papers)Nicola Marsden-Haug (1 shared paper)P. L. Gould (1 shared paper)Wayne Loschen (1 shared paper)Joseph S. Lombardo (1 shared paper)Richard Wojcik (1 shared paper)Steven F. Magruder (1 shared paper)
- Journals
- Journal of Urban Health (3 papers)Emerging infectious diseases (1 paper)Online Journal of Public Health Informatics (1 paper)PsycEXTRA Dataset (1 paper)
- Partner nations
- United StatesThailandSpain
In The Last Decade
Eugene Elbert
5 papers receiving 299 citations
Peers
Comparison fields: 5 of 55
- Epidemiology 231
- Modeling and Simulation 32
- Health Information Management 9
- Infectious Diseases 26
- Public Health, Environmental and Occupational Health 36
Countries citing papers authored by Eugene Elbert
This map shows the geographic impact of Eugene Elbert'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 Eugene Elbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Elbert more than expected).
Fields of papers citing papers by Eugene Elbert
This network shows the impact of papers produced by Eugene Elbert. 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 Eugene Elbert. The network helps show where Eugene Elbert may publish in the future.
Co-authors
The 15 scholars most cited alongside Eugene Elbert, 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 | 2003 | 165 | |
| 2 | 2007 | 120 | |
| 3 | 2003 | 18 | |
| 4 | 2004 | 12 | |
| 5 | 2003 | 4 | |
| 6 | 2013 | 1 |
About Eugene Elbert
Eugene Elbert is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Communication and Sociology and Political Science, having authored 6 papers that have together received 320 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (4 papers), Bacillus and Francisella bacterial research (2 papers), Zoonotic diseases and public health (1 paper), Influenza Virus Research Studies (1 paper), Misinformation and Its Impacts (1 paper), Social Media and Politics (1 paper), Viral Infections and Outbreaks Research (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Epidemiology (231 citations), Modeling and Simulation (32 citations), Health Information Management (9 citations), Infectious Diseases (26 citations) and Public Health, Environmental and Occupational Health (36 citations). Eugene Elbert has collaborated with scholars based in United States, Thailand and Spain. Frequent co-authors include Julie A. Pavlin, Howard Burkom, Nicola Marsden-Haug, P. L. Gould, Wayne Loschen, Joseph S. Lombardo, Richard Wojcik, Steven F. Magruder, Charles S. Milliken and Shilpa Hakre. Their work appears in journals such as Journal of Urban Health, Emerging infectious diseases, Online Journal of Public Health Informatics and PsycEXTRA Dataset.
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.