Jack Cordes
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Health top 10%
- Health disparities and outcomes
Papers in
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- Data-Driven Disease Surveillance 3
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- Opioid Use Disorder Treatment 3
- Co-authors
- Márcia C. Castro (1 shared paper)S. V. Subramanian (3 shared papers)Antônio Fernando Boing (1 shared paper)Alexandra Crispim Boing (1 shared paper)Rockli Kim (1 shared paper)Christine Horan (1 shared paper)Sanjay K. Mohanty (1 shared paper)R. Monina Klevens (1 shared paper)
- Journals
- Southeastern geographer (1 paper)Spatial and Spatio-temporal Epidemiology (1 paper)Geospatial health (1 paper)American Journal of Preventive Medicine (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- United StatesPolandSouth Korea
In The Last Decade
Jack Cordes
10 papers receiving 265 citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 133
- Health 68
- Transportation 23
- Epidemiology 87
- Economics and Econometrics 67
Countries citing papers authored by Jack Cordes
This map shows the geographic impact of Jack Cordes'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 Jack Cordes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Cordes more than expected).
Fields of papers citing papers by Jack Cordes
This network shows the impact of papers produced by Jack Cordes. 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 Jack Cordes. The network helps show where Jack Cordes may publish in the future.
Co-authors
The 16 scholars most cited alongside Jack Cordes, 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 | 2020 | 185 | |
| 2 | 2020 | 33 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 10 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2025 | 1 |
About Jack Cordes
Jack Cordes is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Health, General Health Professions and Economics and Econometrics, having authored 10 papers that have together received 270 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (3 papers), COVID-19 epidemiological studies (3 papers), Data-Driven Disease Surveillance (3 papers), Healthcare Policy and Management (2 papers), Health disparities and outcomes (2 papers), Primary Care and Health Outcomes (2 papers), Prenatal Substance Exposure Effects (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Modeling and Simulation (133 citations), Health (68 citations), Transportation (23 citations), Epidemiology (87 citations) and Economics and Econometrics (67 citations). Jack Cordes has collaborated with scholars based in United States, Poland and South Korea. Frequent co-authors include Márcia C. Castro, S. V. Subramanian, Antônio Fernando Boing, Alexandra Crispim Boing, Rockli Kim, Christine Horan, Sanjay K. Mohanty, R. Monina Klevens, Elsie M. Taveras and Dana Bernson. Their work appears in journals such as Southeastern geographer, Spatial and Spatio-temporal Epidemiology, Geospatial health, American Journal of Preventive Medicine and Frontiers in Public Health.
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.