David Kossowsky
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
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- Travel-related health issues 4
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- COVID-19 epidemiological studies 4
- Co-authors
- Kamran Khan (6 shared papers)Jennifer Sears (4 shared papers)John S. Brownstein (4 shared papers)Martín S. Cetron (3 shared papers)Wei Hu (2 shared papers)Bertrand Súdre (1 shared paper)Jan C. Semenza (1 shared paper)Jennifer Miniota (1 shared paper)
- Journals
- Canadian Medical Association Journal (1 paper)PLoS neglected tropical diseases (1 paper)PLoS Currents (1 paper)The Lancet Infectious Diseases (1 paper)Bulletin of the World Health Organization (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
David Kossowsky
8 papers receiving 296 citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 127
- Infectious Diseases 126
- Public Health, Environmental and Occupational Health 187
- Transportation 18
- Health Informatics 3
Countries citing papers authored by David Kossowsky
This map shows the geographic impact of David Kossowsky'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 David Kossowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kossowsky more than expected).
Fields of papers citing papers by David Kossowsky
This network shows the impact of papers produced by David Kossowsky. 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 David Kossowsky. The network helps show where David Kossowsky may publish in the future.
Co-authors
The 25 scholars most cited alongside David Kossowsky, 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 | 2014 | 96 | |
| 2 | 2013 | 60 | |
| 3 | 2012 | 55 | |
| 4 | 2013 | 39 | |
| 5 | 2010 | 36 | |
| 6 | 2020 | 23 | |
| 7 | Some methodological aspects involved in the study by the Bio.Diaspora Project of the spread of infectious diseases along the global air transportation network | 2012 | 5 |
| 8 | iCity: big data and visualization urban transportation strategies | 2018 | 1 |
About David Kossowsky
David Kossowsky is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Epidemiology, Economics and Econometrics and Infectious Diseases, having authored 8 papers that have together received 315 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Travel-related health issues (4 papers), COVID-19 Pandemic Impacts (2 papers), Data-Driven Disease Surveillance (2 papers), Urban Green Space and Health (1 paper), Traffic Prediction and Management Techniques (1 paper), Animal Disease Management and Epidemiology (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Modeling and Simulation (127 citations), Infectious Diseases (126 citations), Public Health, Environmental and Occupational Health (187 citations), Transportation (18 citations) and Health Informatics (3 citations). David Kossowsky has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kamran Khan, Jennifer Sears, John S. Brownstein, Martín S. Cetron, Wei Hu, Bertrand Súdre, Jan C. Semenza, Jennifer Miniota, Massimiliano Rossi and Jonathan E. Suk. Their work appears in journals such as Canadian Medical Association Journal, PLoS neglected tropical diseases, PLoS Currents, The Lancet Infectious Diseases and Bulletin of the World Health Organization.
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.