James S. Koopman
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 22
- Virology top 1%
- HIV Research and Treatment 12
- Infectious Diseases top 0.5%
- HIV/AIDS Research and Interventions 21
- Viral gastroenteritis research and epidemiology 13
- Epidemiology top 1%
- HIV, Drug Use, Sexual Risk 12
- Influenza Virus Research Studies 11
- Endocrinology top 2%
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- Adolescent Sexual and Reproductive Health 16
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- Animal Disease Management and Epidemiology 9
- Co-authors
- Ira M. LonginiArnold S. MontoCarl G. SimonJohn A. JacquezKathryn H. JacobsenBetsy FoxmanLisa SattenspielJohn P. Fox
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)The Science of The Total Environment (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
James S. Koopman
91 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Modeling and Simulation 978
- Virology 582
- Infectious Diseases 2.0k
- Epidemiology 2.0k
- Endocrinology 238
Countries citing papers authored by James S. Koopman
This map shows the geographic impact of James S. Koopman'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 James S. Koopman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James S. Koopman more than expected).
Fields of papers citing papers by James S. Koopman
This network shows the impact of papers produced by James S. Koopman. 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 James S. Koopman. The network helps show where James S. Koopman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James S. Koopman, 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 | 2022 | 1 | |
| 2 | 2019 | 4 | |
| 3 | 2017 | 17 | |
| 4 | 2013 | 37 | |
| 5 | 2012 | 21 | |
| 6 | 2012 | 18 | |
| 7 | 2012 | 8 | |
| 8 | 2012 | 13 | |
| 9 | 2007 | 38 | |
| 10 | 2005 | 20 | |
| 11 | 2005 | 2 | |
| 12 | 2004 | 251 | |
| 13 | 2001 | 28 | |
| 14 | 2001 | 8 | |
| 15 | 2001 | 25 | |
| 16 | 2000 | 5 | |
| 17 | 2000 | 37 | |
| 18 | 1994 | 148 | |
| 19 | 1992 | 1 | |
| 20 | 1990 | 19 |
About James S. Koopman
James S. Koopman is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 92 papers that have together received 5.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (22 papers), HIV/AIDS Research and Interventions (21 papers), Adolescent Sexual and Reproductive Health (16 papers), Viral gastroenteritis research and epidemiology (13 papers), HIV Research and Treatment (12 papers), HIV, Drug Use, Sexual Risk (12 papers), Influenza Virus Research Studies (11 papers) and Animal Disease Management and Epidemiology (9 papers). The work is most often cited by research in Modeling and Simulation (978 citations), Virology (582 citations) and Infectious Diseases (2.0k citations). James S. Koopman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ira M. Longini, Arnold S. Monto, Carl G. Simon, John A. Jacquez, Kathryn H. Jacobsen, Betsy Foxman, Lisa Sattenspiel, John P. Fox, Joseph N. S. Eisenberg and Stephen E. Chick. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Science of The Total Environment.
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.