Larry Madoff
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Data-Driven Disease Surveillance
- Pneumonia and Respiratory Infections
- Influenza Virus Research Studies
Papers in
-
- Data-Driven Disease Surveillance 3
- Pneumonia and Respiratory Infections 2
- Influenza Virus Research Studies 1
-
- Bacillus and Francisella bacterial research 2
- Co-authors
- John S. Brownstein (3 shared papers)Ronald A. Walters (2 shared papers)Ray Arthur (2 shared papers)Nigel Collier (2 shared papers)Roman Yangarber (2 shared papers)Jens P. Linge (2 shared papers)Noele P. Nelson (2 shared papers)N. F. Lightfoot (2 shared papers)
- Journals
- npj Digital Medicine (1 paper)PLoS Currents (1 paper)PEDIATRICS (1 paper)Vaccine (1 paper)PubMed (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Larry Madoff
7 papers receiving 174 citations
Peers
Comparison fields: 5 of 47
- Modeling and Simulation 22
- Epidemiology 127
- Health Informatics 4
- Public Health, Environmental and Occupational Health 39
- Applied Microbiology and Biotechnology 2
Countries citing papers authored by Larry Madoff
This map shows the geographic impact of Larry Madoff'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 Larry Madoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Madoff more than expected).
Fields of papers citing papers by Larry Madoff
This network shows the impact of papers produced by Larry Madoff. 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 Larry Madoff. The network helps show where Larry Madoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Larry Madoff, 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 | 2010 | 58 | |
| 2 | 2010 | 38 | |
| 3 | 2021 | 37 | |
| 4 | 2007 | 31 | |
| 5 | 2023 | 17 | |
| 6 | 2011 | 3 | |
| 7 | 2025 | 1 |
About Larry Madoff
Larry Madoff is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases and Health, having authored 7 papers that have together received 185 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (3 papers), Zoonotic diseases and public health (2 papers), Pneumonia and Respiratory Infections (2 papers), Bacillus and Francisella bacterial research (2 papers), Influenza Virus Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), Smoking Behavior and Cessation (1 paper) and Social Media in Health Education (1 paper). The work is most often cited by research in Modeling and Simulation (22 citations), Epidemiology (127 citations), Health Informatics (4 citations), Public Health, Environmental and Occupational Health (39 citations) and Applied Microbiology and Biotechnology (2 citations). Larry Madoff has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include John S. Brownstein, Ronald A. Walters, Ray Arthur, Nigel Collier, Roman Yangarber, Jens P. Linge, Noele P. Nelson, N. F. Lightfoot, David Hartley and Abla Mawudeku. Their work appears in journals such as npj Digital Medicine, PLoS Currents, PEDIATRICS, Vaccine and PubMed.
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.