John E. Oeltmann
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 47
- Epidemiology top 5%
- Pneumonia and Respiratory Infections 21
- Mycobacterium research and diagnosis 20
- Pneumocystis jirovecii pneumonia detection and treatment 13
- Data-Driven Disease Surveillance 7
- Applied Psychology top 5%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 11
- Health top 5%
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- COVID-19 Digital Contact Tracing 10
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- Infectious Diseases and Tuberculosis 6
- Co-authors
- Robert F. ValoisPatrick K. MoonanJ. Wanzer DraneE. Scott HuebnerKeith J. ZulligJim HusseyJennifer L. WallerJ. Steve Kammerer
- Journals
- Emerging infectious diseases (15 papers)The International Journal of Tuberculosis and Lung Disease (6 papers)Public Health Action (6 papers)
- Partner nations
- United StatesIndiaBotswana
In The Last Decade
John E. Oeltmann
67 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 881
- Epidemiology 882
- Applied Psychology 110
- Modeling and Simulation 88
- Health 147
Countries citing papers authored by John E. Oeltmann
This map shows the geographic impact of John E. Oeltmann'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 E. Oeltmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Oeltmann more than expected).
Fields of papers citing papers by John E. Oeltmann
This network shows the impact of papers produced by John E. Oeltmann. 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 E. Oeltmann. The network helps show where John E. Oeltmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John E. Oeltmann, 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 | 2023 | 3 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 7 | |
| 10 | 2017 | 2 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 2 | |
| 14 | 2016 | 42 | |
| 15 | 2015 | 10 | |
| 16 | 2014 | 2 | |
| 17 | 2014 | 46 | |
| 18 | 2014 | 37 | |
| 19 | 2011 | 67 | |
| 20 | 2011 | 40 |
About John E. Oeltmann
John E. Oeltmann is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (47 papers), Pneumonia and Respiratory Infections (21 papers), Mycobacterium research and diagnosis (20 papers), Pneumocystis jirovecii pneumonia detection and treatment (13 papers), COVID-19 epidemiological studies (11 papers), COVID-19 Digital Contact Tracing (10 papers), Data-Driven Disease Surveillance (7 papers) and Infectious Diseases and Tuberculosis (6 papers). The work is most often cited by research in Infectious Diseases (881 citations), Epidemiology (882 citations) and Applied Psychology (110 citations). John E. Oeltmann has collaborated with scholars based in United States, India and Botswana. Frequent co-authors include Robert F. Valois, Patrick K. Moonan, J. Wanzer Drane, E. Scott Huebner, Keith J. Zullig, Jim Hussey, Jennifer L. Waller, J. Steve Kammerer, Eleanor S. Click and Kashef Ijaz. Their work appears in journals such as Emerging infectious diseases, The International Journal of Tuberculosis and Lung Disease, Public Health Action, 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.