John D. Levander
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 3
- Health 3
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Michael M. Wagner (6 shared papers)Gregory F. Cooper (3 shared papers)William Ransom Hogan (6 shared papers)Jeremy U. Espino (1 shared paper)Ronald E. Voorhees (1 shared paper)Shawn T. Brown (3 shared papers)Fuchiang Rich Tsui (1 shared paper)Weng‐Keen Wong (2 shared papers)
- Journals
- MMWR Morbidity and Mortality Weekly Report (1 paper)PLoS Medicine (1 paper)Journal of Biomedical Informatics (1 paper)Journal of Biomedical Semantics (1 paper)eLife (1 paper)
- Partner nations
- United StatesMexico
In The Last Decade
John D. Levander
13 papers receiving 265 citations
Peers
Comparison fields: 5 of 54
- Modeling and Simulation 152
- Infectious Diseases 80
- Health 28
- Epidemiology 90
- Applied Microbiology and Biotechnology 2
Countries citing papers authored by John D. Levander
This map shows the geographic impact of John D. Levander'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 John D. Levander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Levander more than expected).
Fields of papers citing papers by John D. Levander
This network shows the impact of papers produced by John D. Levander. 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 John D. Levander. The network helps show where John D. Levander may publish in the future.
Co-authors
The 19 scholars most cited alongside John D. Levander, 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 | 2021 | 111 | |
| 2 | 2023 | 39 | |
| 3 | 2022 | 28 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 21 | |
| 6 | 2011 | 15 | |
| 7 | Use of multiple data streams to conduct Bayesian biologic surveillance. | 2005 | 10 |
| 8 | 2016 | 10 | |
| 9 | 2024 | 6 | |
| 10 | 2006 | 3 | |
| 11 | Apollo: giving application developers a single point of access to public health models using structured vocabularies and Web services. | 2013 | 3 |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | A novel representation of terms related to infectious disease epidemiology for epidemic modeling The Apollo Structured Vocabulary and pre-existing representations | 2014 | 0 |
| 15 | 2025 | 0 |
About John D. Levander
John D. Levander is a scholar working on Modeling and Simulation, Health, Information Systems and Management, Infectious Diseases and Epidemiology, having authored 15 papers that have together received 270 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (4 papers), COVID-19 epidemiological studies (3 papers), Vaccine Coverage and Hesitancy (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Biomedical Text Mining and Ontologies (2 papers), Scientific Computing and Data Management (2 papers), Advanced Statistical Process Monitoring (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Modeling and Simulation (152 citations), Infectious Diseases (80 citations), Health (28 citations), Epidemiology (90 citations) and Applied Microbiology and Biotechnology (2 citations). John D. Levander has collaborated with scholars based in United States and Mexico. Frequent co-authors include Michael M. Wagner, Gregory F. Cooper, William Ransom Hogan, Jeremy U. Espino, Ronald E. Voorhees, Shawn T. Brown, Fuchiang Rich Tsui, Weng‐Keen Wong, Debasis Dash and Mathias Brochhausen. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, PLoS Medicine, Journal of Biomedical Informatics, Journal of Biomedical Semantics and eLife.
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.